Paulo Cassanego Jr, Cristiane Ferreira de Souza Araujo
The theme that deals with clusters have been discussed incessantly by the academic community. However, despite not being a new issue, it is an issue that needs a broad engagement for its full development. In this context, the general objective of this research is to analyze the state of the art of scientific production on clusters in countries that make up South America, according to the Scopus platform. Based on the principles of social network analysis, the textual corpus available in the context of the terms Cluster OR “Industrial District” OR NOT “Cluster Analysis” from the survey of 300 articles in databases and through the application of selection filters were explored. 150 articles we extracted for the corpus of this research. To data compile, the following softwares we used: HistCiteTM, VOSviewer, Gephi and Iramuteq. The textual analysis modality of the research corpus associated with metric studies was adopted to contextualize the indicators related to production. As a result of this study, a research elite in South America composed of 19 authors, 5 thematic communities called Performance, Cooperation, Innovation, Market and Resources, 31 bibliographic couplings, Brazil as the country that publishes the most articles in the area with 101 documents.
{"title":"Scientific Production on Clusters in South America","authors":"Paulo Cassanego Jr, Cristiane Ferreira de Souza Araujo","doi":"10.5530/jscires.11.3.43","DOIUrl":"https://doi.org/10.5530/jscires.11.3.43","url":null,"abstract":"The theme that deals with clusters have been discussed incessantly by the academic community. However, despite not being a new issue, it is an issue that needs a broad engagement for its full development. In this context, the general objective of this research is to analyze the state of the art of scientific production on clusters in countries that make up South America, according to the Scopus platform. Based on the principles of social network analysis, the textual corpus available in the context of the terms Cluster OR “Industrial District” OR NOT “Cluster Analysis” from the survey of 300 articles in databases and through the application of selection filters were explored. 150 articles we extracted for the corpus of this research. To data compile, the following softwares we used: HistCiteTM, VOSviewer, Gephi and Iramuteq. The textual analysis modality of the research corpus associated with metric studies was adopted to contextualize the indicators related to production. As a result of this study, a research elite in South America composed of 19 authors, 5 thematic communities called Performance, Cooperation, Innovation, Market and Resources, 31 bibliographic couplings, Brazil as the country that publishes the most articles in the area with 101 documents.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"22 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83215153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this study was to compare the social impact of review articles with the original research articles in the field of Library and Information Science indexed in Web of Science. This research has been done in terms of the purpose of the applied type and in terms of methodology is survey with the Altmetric analysis approach. The study population in this study consists of review and original research articles in the field of Library amd Information Science. The results of the review of research questions showed that there is a significant difference between review articles and original research articles in terms of reading in Mendeley, sharing on Twitter, receiving citations in Wikipedia, and No significant differences between the reflection of review and original research articles in News media and policy. The results showed, the social impact of review articles was more than original research articles. So the results show the importance of review articles in the body of scientific publications. Accordingly, it is necessary for writers and researchers and subsequently scientific journals, realizing the importance of these articles in the development of science interactions with society, to pay more attention to their acceptance and publication.
摘要本研究的目的是比较Web of Science收录的文献综述与文献文献的社会影响。本研究是在应用类型的目的和方法方面进行的，是用替代分析法进行调查。本研究的研究对象包括图书馆情报学领域的综述和原创研究论文。对研究问题的综述结果显示，综述文章与原创性研究文章在Mendeley的阅读量、Twitter的分享量、Wikipedia的引用量等方面存在显著差异，而综述文章在新闻媒体和政策方面的反映与原创性研究文章无显著差异。结果表明，综述性文章的社会影响力大于原创性研究文章。因此，这些结果显示了综述文章在科学出版物中的重要性。因此，作者和研究人员以及随后的科学期刊都有必要认识到这些文章在科学与社会互动发展中的重要性，从而更加重视它们的接受和发表。
{"title":"Comparison of the Social Impact of Review Articles with Original Research Articles in the Field of Library and Information Science Indexed in WoS","authors":"A. Doulani, Mahnaz Behpour, Z. Abam","doi":"10.5530/jscires.11.3.41","DOIUrl":"https://doi.org/10.5530/jscires.11.3.41","url":null,"abstract":"The purpose of this study was to compare the social impact of review articles with the original research articles in the field of Library and Information Science indexed in Web of Science. This research has been done in terms of the purpose of the applied type and in terms of methodology is survey with the Altmetric analysis approach. The study population in this study consists of review and original research articles in the field of Library amd Information Science. The results of the review of research questions showed that there is a significant difference between review articles and original research articles in terms of reading in Mendeley, sharing on Twitter, receiving citations in Wikipedia, and No significant differences between the reflection of review and original research articles in News media and policy. The results showed, the social impact of review articles was more than original research articles. So the results show the importance of review articles in the body of scientific publications. Accordingly, it is necessary for writers and researchers and subsequently scientific journals, realizing the importance of these articles in the development of science interactions with society, to pay more attention to their acceptance and publication.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"10 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81844801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Journal Citation Reports (JCR) 2020 release contains the Journal Impact Factor (JIF) for each journal indexed in the Web of Science data bank. A change influenced this recent release in its calculation because of the inclusion of early access items not considered in previous releases. These alterations can directly influence JIF results, mainly due to a more extensive source of citations, but this may not have occurred homogeneously for all journals. We performed a simplified evaluation of JIF progression in one area Web of Science journals category, Immunology, to evaluate the effect of these alterations in JIFs and discuss possible reasons for the observed effect yielding some evidence for the next JCR release.
期刊引用报告(JCR) 2020版本包含Web of Science数据库中索引的每种期刊的期刊影响因子(JIF)。一个变化影响了这个最近的版本的计算，因为包含了早期访问项目没有考虑在以前的版本。这些变化可以直接影响JIF的结果，主要是由于更广泛的引用来源，但这种情况可能不会均匀地发生在所有期刊上。我们在Web of Science期刊类别免疫学的一个领域对JIF进展进行了简化评估，以评估这些JIF变化的影响，并讨论观察到的影响的可能原因，为下一次JCR发布提供一些证据。
{"title":"Favourable Effect of Changes on 2020 Journal Citation Reports Calculation: A Pilot Analysis in Immunology Category to Generate “Baits for a Good Catch” in Near Future","authors":"J. R. Victor","doi":"10.5530/jscires.11.3.50","DOIUrl":"https://doi.org/10.5530/jscires.11.3.50","url":null,"abstract":"The Journal Citation Reports (JCR) 2020 release contains the Journal Impact Factor (JIF) for each journal indexed in the Web of Science data bank. A change influenced this recent release in its calculation because of the inclusion of early access items not considered in previous releases. These alterations can directly influence JIF results, mainly due to a more extensive source of citations, but this may not have occurred homogeneously for all journals. We performed a simplified evaluation of JIF progression in one area Web of Science journals category, Immunology, to evaluate the effect of these alterations in JIFs and discuss possible reasons for the observed effect yielding some evidence for the next JCR release.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"17 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76809531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: Alzheimer’s Disease, the most common type of dementia, affects mainly the elderly population and will grow significantly in the coming decades. Objectives: To investigate Brazilian scientific research on Alzheimer’s Disease before and after the implementation of the National Agenda for Health Research Priorities. Methodology: A quantitative research study based on data from Brazilian scientific output on Alzheimer’s Disease collected from the Scopus database in 1974-2005 and 2006-2019. Scientometric methods were used, especially journal and author cocitation analysis. Results: The findings show a growth of original and review articles on Alzheimer’s Disease, published mainly in journals focused on health sciences and authored by researchers from institutions in the Southeast region. The analysis of co-citation journals revealed that Brazilian research on Alzheimer’s Disease, in the first period, was distributed on 72 titles focused on health sciences and, in the second period, 679 titles with broader field coverage. The co-citation authors initially revealed 93 authors co-cited in distant clusters and, in the second period, 1,000 authors co-cited in more connected clusters. Conclusion: Attention is drawn to the strong growth in the Brazilian production of Alzheimer’s Disease after the implementation of the Agenda, as well as to a change in the intellectual structure of research on Alzheimer’s Disease. It is supposed that the Agenda may have acted as a vital element not only for scientific production but also for the release of resources and the participation of researchers, both fundamental actors that would also explain the observed changes.
{"title":"Alzheimer’s Disease: The Intellectual Structure of Brazilian Research before and after the Implementation of the National Agenda for Health Research Priorities","authors":"Angelina Pereira da Silva","doi":"10.5530/jscires.11.3.35","DOIUrl":"https://doi.org/10.5530/jscires.11.3.35","url":null,"abstract":"Introduction: Alzheimer’s Disease, the most common type of dementia, affects mainly the elderly population and will grow significantly in the coming decades. Objectives: To investigate Brazilian scientific research on Alzheimer’s Disease before and after the implementation of the National Agenda for Health Research Priorities. Methodology: A quantitative research study based on data from Brazilian scientific output on Alzheimer’s Disease collected from the Scopus database in 1974-2005 and 2006-2019. Scientometric methods were used, especially journal and author cocitation analysis. Results: The findings show a growth of original and review articles on Alzheimer’s Disease, published mainly in journals focused on health sciences and authored by researchers from institutions in the Southeast region. The analysis of co-citation journals revealed that Brazilian research on Alzheimer’s Disease, in the first period, was distributed on 72 titles focused on health sciences and, in the second period, 679 titles with broader field coverage. The co-citation authors initially revealed 93 authors co-cited in distant clusters and, in the second period, 1,000 authors co-cited in more connected clusters. Conclusion: Attention is drawn to the strong growth in the Brazilian production of Alzheimer’s Disease after the implementation of the Agenda, as well as to a change in the intellectual structure of research on Alzheimer’s Disease. It is supposed that the Agenda may have acted as a vital element not only for scientific production but also for the release of resources and the participation of researchers, both fundamental actors that would also explain the observed changes.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"25 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83294889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Sichuan snub-nosed monkey (Rhinopithecus roxellana) is a flagship species that has received worldwide attention, and its study is of great importance. In this paper, we analyzed the entire 80 years of research on Sichuan snub-nosed monkeys worldwide with the web of science database as the basic data source and the visualization software CiteSpace to summarize the status of Sichuan snub-nosed monkey research. The study shows that: 1. Throughout the 80 years of Sichuan snub-nosed monkey research, it can be summarized into three developmental stages. During the 57 years from 1942 to 1998, which was the beginning stage of Sichuan snub-nosed monkeys; while during the 8 years from 1999 to 2006, which was the development stage of Sichuan snub-nosed monkeys; from 2007 to the present, which was the peak stage of Sichuan snub-nosed monkey’s research. 2. Investigating the countries/regions, institutions, authors, and core journals of Sichuan snub-nosed monkey research throughout the past 80 years, we found that the research on Sichuan snub-nosed monkey, as an endemic species in China, is still dominated by Chinese research units and personnel, and the research units and researchers from various countries or regions are very close in their research relationships, and the papers published by these researchers are also concentrated in some core journals. 3. Throughout its 80-year history, the subject of Sichuan snub-nosed monkeys has undergone two explosive periods, after which it gradually reached saturation in the research field.
四川金丝猴(Rhinopithecus roxellana)是受到世界关注的旗舰物种，对其进行研究具有重要意义。本文以web of science数据库为基础数据源，利用可视化软件CiteSpace，对全世界80年来四川金丝猴的研究进行了分析，总结了四川金丝猴研究的现状。研究表明:1。纵观四川扁鼻猴80年的研究历程，可以归纳为三个发展阶段。1942年至1998年的57年间，是四川金丝猴的初始阶段;1999 - 2006年8年，是四川金丝猴的发育阶段;2007年至今，是四川仰鼻猴研究的高峰阶段。2. 通过对近80年来四川金丝猴研究的国家/地区、机构、作者和核心期刊的调查，我们发现，作为中国特有物种的四川金丝猴的研究仍然以中国的研究单位和人员为主，而且各个国家或地区的研究单位和研究人员之间的研究关系非常密切。这些研究人员发表的论文也集中在一些核心期刊上。3.在其80年的历史中，四川仰鼻猴学科经历了两次爆发期，之后在研究领域逐渐达到饱和。
{"title":"The Entire 80-year Research History of Sichuan Snub-nosed Monkeys (Rhinopithecus roxellana): A Citespce-based Bibliometric Study","authors":"Zhanran Wang","doi":"10.5530/jscires.11.3.37","DOIUrl":"https://doi.org/10.5530/jscires.11.3.37","url":null,"abstract":"The Sichuan snub-nosed monkey (Rhinopithecus roxellana) is a flagship species that has received worldwide attention, and its study is of great importance. In this paper, we analyzed the entire 80 years of research on Sichuan snub-nosed monkeys worldwide with the web of science database as the basic data source and the visualization software CiteSpace to summarize the status of Sichuan snub-nosed monkey research. The study shows that: 1. Throughout the 80 years of Sichuan snub-nosed monkey research, it can be summarized into three developmental stages. During the 57 years from 1942 to 1998, which was the beginning stage of Sichuan snub-nosed monkeys; while during the 8 years from 1999 to 2006, which was the development stage of Sichuan snub-nosed monkeys; from 2007 to the present, which was the peak stage of Sichuan snub-nosed monkey’s research. 2. Investigating the countries/regions, institutions, authors, and core journals of Sichuan snub-nosed monkey research throughout the past 80 years, we found that the research on Sichuan snub-nosed monkey, as an endemic species in China, is still dominated by Chinese research units and personnel, and the research units and researchers from various countries or regions are very close in their research relationships, and the papers published by these researchers are also concentrated in some core journals. 3. Throughout its 80-year history, the subject of Sichuan snub-nosed monkeys has undergone two explosive periods, after which it gradually reached saturation in the research field.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"72 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81722245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Based on the literature review, a comparative analysis of the university systems of the countries of the Near East and South East Asia was carried out, and the leading countries in these groups were identified. To support the qualitative comparative analysis of these university systems, a quantitative methodology for calculating country university competitiveness has been developed. Since the largest number of universities in all countries of the world is included in the Webometrics Ranking, this methodology is illustrated by its example. It identifies two indicators - the total number of universities in the country and the average positioning of these universities in the selected ranking. After normalizing these indicators, they are aggregated in a multiplicative and additive way to obtain three integral indicators. The features of the discrepancy in the calculations for these integral indicators are explained. This methodology has been proposed to be tried on the example of other world university rankings.
{"title":"Quantitative Comparative Analysis of Country University Competitiveness: The Case of the Near East and South East Asian Countries","authors":"Vladimir M Moskovkin, T. Saprykina, M. Sizyoongo","doi":"10.5530/jscires.11.3.38","DOIUrl":"https://doi.org/10.5530/jscires.11.3.38","url":null,"abstract":"Based on the literature review, a comparative analysis of the university systems of the countries of the Near East and South East Asia was carried out, and the leading countries in these groups were identified. To support the qualitative comparative analysis of these university systems, a quantitative methodology for calculating country university competitiveness has been developed. Since the largest number of universities in all countries of the world is included in the Webometrics Ranking, this methodology is illustrated by its example. It identifies two indicators - the total number of universities in the country and the average positioning of these universities in the selected ranking. After normalizing these indicators, they are aggregated in a multiplicative and additive way to obtain three integral indicators. The features of the discrepancy in the calculations for these integral indicators are explained. This methodology has been proposed to be tried on the example of other world university rankings.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"9 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85382801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The scientific research on Cross-Lingual Emotional Topic models (CLETM) saw rising interest over the years. This study aims to identify the publication trends and growth potential of CLETM studies which will offer a better understanding and potential future research directions using bibliometric tools. All published articles related to ‘Cross Lingual’ or ‘Emotional topic model’ from Scopus were identified and analyzed using Bibliometrix R-package and VOSviewer software. A total of 1,188 publications were identified from 2000 to 2020 published in 429 journals contributed by 2529 authors with a 2.22 collaboration Index and 2.13 authors per document. Lecture Notes in Computer Science are most sources of published papers with 120 articles, h-index 12. The most active country was China with (TNP=145) documents. National Natural Science Foundation of China was the leading organization engaged in CLETM research funding. Li H who is affiliated with the department of Electrical and Computer Engineering, National University of Singapore was the most active author with 17 articles and h-index 9. Tsinghua University is the top author’s affiliation with 30 articles. The findings of this study provide landmarks, baseline information on vital research productivity, and insights into the historical progressions of CLETM research
{"title":"Mapping of Cross-Lingual Emotional Topic Model Research Indexed in Scopus databases from 2000-2020","authors":"I. H. Musa, Ibrahim Zamit","doi":"10.5530/jscires.11.3.46","DOIUrl":"https://doi.org/10.5530/jscires.11.3.46","url":null,"abstract":"The scientific research on Cross-Lingual Emotional Topic models (CLETM) saw rising interest over the years. This study aims to identify the publication trends and growth potential of CLETM studies which will offer a better understanding and potential future research directions using bibliometric tools. All published articles related to ‘Cross Lingual’ or ‘Emotional topic model’ from Scopus were identified and analyzed using Bibliometrix R-package and VOSviewer software. A total of 1,188 publications were identified from 2000 to 2020 published in 429 journals contributed by 2529 authors with a 2.22 collaboration Index and 2.13 authors per document. Lecture Notes in Computer Science are most sources of published papers with 120 articles, h-index 12. The most active country was China with (TNP=145) documents. National Natural Science Foundation of China was the leading organization engaged in CLETM research funding. Li H who is affiliated with the department of Electrical and Computer Engineering, National University of Singapore was the most active author with 17 articles and h-index 9. Tsinghua University is the top author’s affiliation with 30 articles. The findings of this study provide landmarks, baseline information on vital research productivity, and insights into the historical progressions of CLETM research","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"56 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74196033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Soroya, M. Umar, N. Aljohani, Anna Visvizi, R. Nawaz
This paper deploys bibliometric indices and semantic techniques for understanding to what extent research grants are likely to impact publications, research direction, and co-authorship rate of principal investigators. It includes semantic analysis in the research funding evaluation process to effectively study short-term and long-term funding impact on publication outputs. Our dataset consists of researchers who received research grants from the National ICT Research and Development funding program of Pakistan. Whereas Pakistani researchers’ publications dataset was extracted from Scopus. We show several interesting case studies to conclude that bibliometric-based quantitative assessment combined with semantics can build better sustainable pathways to deploy evaluation frameworks for research funding effectively. The funding data of closed projects from 2007 to 2013 was obtained from ICT R&D public records. The publications dataset was extracted from Scopus data and the details of the statistics were, publications=61,421; researchers=42,376, organizations=213; funded projects=17, funded researchers=23 and funded organizations=10. A significant positive impact (more research output after allocation of funds) has been found for almost all studied organizations. Similarly, a positive funding impact on research output and average co-authorship for the studied cases (investigators under consideration) was found. However, no funding impact was found on the research focus of investigators, i.e., research focus remained almost unchanged after grant allocation. Also, the study suggested the best possible match candidates for collaboration or potential reviewers against the selected project by semantically analyzing the executive summary. Most funded researchers and research organizations have found a positive funding impact on research output (i
{"title":"How Effective is Research Funding? Exploring Research Performance Indicators","authors":"S. Soroya, M. Umar, N. Aljohani, Anna Visvizi, R. Nawaz","doi":"10.5530/jscires.11.3.34","DOIUrl":"https://doi.org/10.5530/jscires.11.3.34","url":null,"abstract":"This paper deploys bibliometric indices and semantic techniques for understanding to what extent research grants are likely to impact publications, research direction, and co-authorship rate of principal investigators. It includes semantic analysis in the research funding evaluation process to effectively study short-term and long-term funding impact on publication outputs. Our dataset consists of researchers who received research grants from the National ICT Research and Development funding program of Pakistan. Whereas Pakistani researchers’ publications dataset was extracted from Scopus. We show several interesting case studies to conclude that bibliometric-based quantitative assessment combined with semantics can build better sustainable pathways to deploy evaluation frameworks for research funding effectively. The funding data of closed projects from 2007 to 2013 was obtained from ICT R&D public records. The publications dataset was extracted from Scopus data and the details of the statistics were, publications=61,421; researchers=42,376, organizations=213; funded projects=17, funded researchers=23 and funded organizations=10. A significant positive impact (more research output after allocation of funds) has been found for almost all studied organizations. Similarly, a positive funding impact on research output and average co-authorship for the studied cases (investigators under consideration) was found. However, no funding impact was found on the research focus of investigators, i.e., research focus remained almost unchanged after grant allocation. Also, the study suggested the best possible match candidates for collaboration or potential reviewers against the selected project by semantically analyzing the executive summary. Most funded researchers and research organizations have found a positive funding impact on research output (i","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"41 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80543888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Gravity Model is the galloper of applied international trade literature. This model allows us to estimate trade-impacts of various trade related policies. Thousands of research studies have applied gravity models in their research works. The purpose of this paper is to look at bibliometric analysis of worldwide publication output based on a gravity model of international trade, as covered by Scopus from 1987 to 2021. The study analyses annual productivity, most productive source titles, prolific countries, eminent institutions, linguistic analysis and productivity of authors and their contribution in the subject area. According to the findings, Estimation of trade variables and projections are the most popular areas of subject specification, while in terms of literature gaps, estimation of economic integration, Extensive and Intensive Margin, and Logistics Performance Index receive less attention. 2019 was the most productive year for research on gravity models in international trade. In terms of contemporary research output, the United States, Germany, Spain, and China are the most productive countries; while as per citation analysis the United States, Germany, and the United Kingdom are the top three countries. The most prolific journals for publishing works in the subject of the gravity model of international trade are Journal of International Economics, American Economic Review, and Review of Economics and Statistics. The study attempts to portray the existing literature more comprehensively by showing research collaborations and bibliographic coupling. The findings of this study can be useful to conduct further studies in the future.
{"title":"Scientific Mapping of Gravity Model of International Trade Literature: A Bibliometric Analysis","authors":"Preeti Sharma, S. Rohatgi, Deepmala Jasuja","doi":"10.5530/jscires.11.3.48","DOIUrl":"https://doi.org/10.5530/jscires.11.3.48","url":null,"abstract":"The Gravity Model is the galloper of applied international trade literature. This model allows us to estimate trade-impacts of various trade related policies. Thousands of research studies have applied gravity models in their research works. The purpose of this paper is to look at bibliometric analysis of worldwide publication output based on a gravity model of international trade, as covered by Scopus from 1987 to 2021. The study analyses annual productivity, most productive source titles, prolific countries, eminent institutions, linguistic analysis and productivity of authors and their contribution in the subject area. According to the findings, Estimation of trade variables and projections are the most popular areas of subject specification, while in terms of literature gaps, estimation of economic integration, Extensive and Intensive Margin, and Logistics Performance Index receive less attention. 2019 was the most productive year for research on gravity models in international trade. In terms of contemporary research output, the United States, Germany, Spain, and China are the most productive countries; while as per citation analysis the United States, Germany, and the United Kingdom are the top three countries. The most prolific journals for publishing works in the subject of the gravity model of international trade are Journal of International Economics, American Economic Review, and Review of Economics and Statistics. The study attempts to portray the existing literature more comprehensively by showing research collaborations and bibliographic coupling. The findings of this study can be useful to conduct further studies in the future.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"26 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74765061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. K. Nassa, Jagdish Arora, Priyanka Singh, H. Solanki
This study conducts correlation amongst five broad categories of parameters of top 100 ranked institutions in the Overall category of India Rankings 2021 to identify their relative significance. This includes i) inter-correlation; ii) intra-correlation; and iii) year-to-year correlation between ranks and scores of institutions as well as long-term correlation at intervals of five years, i.e. 2017 and 2021. The correlation analysis reveals that while RP (Pearson r = 0.9098), PR (Pearson r = 0.8941), TLR (Pearson r = 0.7118) and GO (Pearson r = 0.5330) are four major categories of parameters that have good to strong correlation with the total overall score as well as with each other, parameters under O & I correlate strongly with each other but neither total score of O &I nor score of its parameters correlate with total Overall score. Year-to-year correlation between ranking of institutions as well as correlation at intervals of five years is near perfect, which reaffirms consistency and reliability of ranking methodology. Based on intra-and inter-correlation analysis conducted on raw data (rather than on its weighted score), the study identifies 12 parameters that have the highest number of correlations with total TLR, RP, GO, PR as well as total overall score with value of Pearson’s r ranging between 0.2500 to 0.9900. These 12 parameters can potentially constitute a compact and coherent set of ranking indicators on which HEIs can focus and ranking agencies may consider regrouping and redistributing weightage to these 12 indicators.
本研究在2021年印度排名整体类别中排名前100位的机构的五大类参数之间进行了相关性，以确定它们的相对重要性。这包括i)相互关联;(二)intra-correlation;iii)各院校排名与分数的年度相关性，以及以5年为间隔(2017年和2021年)的长期相关性。相关性分析显示，RP (Pearson r = 0.9098)、PR (Pearson r = 0.8941)、TLR (Pearson r = 0.7118)和GO (Pearson r = 0.5330)是与总总分有较好到较强相关性的四大类参数，而O和I项下的参数之间的相关性较强，但O和I项的总分及其参数得分与总总分均不相关。各院校排名之间的年度相关性以及每隔五年的相关性几乎是完美的，这再次证明了排名方法的一致性和可靠性。本研究通过对原始数据(而不是对其加权得分)进行内相关和相互相关分析，确定了12个与总TLR、RP、GO、PR以及总总分相关性最高的参数，Pearson’s r值在0.2500 ~ 0.9900之间。这12个参数可能构成一套紧凑和连贯的排名指标，高等教育机构可以重点关注这些指标，排名机构可以考虑重新组合和重新分配这12个指标的权重。
{"title":"What Contributes More to the Ranking of HEIs?: Comparative Analysis of Ranking Parameters of India Rankings 2021 in Overall Category using Pearson’s Correlation Coefficient","authors":"A. K. Nassa, Jagdish Arora, Priyanka Singh, H. Solanki","doi":"10.5530/jscires.11.3.33","DOIUrl":"https://doi.org/10.5530/jscires.11.3.33","url":null,"abstract":"This study conducts correlation amongst five broad categories of parameters of top 100 ranked institutions in the Overall category of India Rankings 2021 to identify their relative significance. This includes i) inter-correlation; ii) intra-correlation; and iii) year-to-year correlation between ranks and scores of institutions as well as long-term correlation at intervals of five years, i.e. 2017 and 2021. The correlation analysis reveals that while RP (Pearson r = 0.9098), PR (Pearson r = 0.8941), TLR (Pearson r = 0.7118) and GO (Pearson r = 0.5330) are four major categories of parameters that have good to strong correlation with the total overall score as well as with each other, parameters under O & I correlate strongly with each other but neither total score of O &I nor score of its parameters correlate with total Overall score. Year-to-year correlation between ranking of institutions as well as correlation at intervals of five years is near perfect, which reaffirms consistency and reliability of ranking methodology. Based on intra-and inter-correlation analysis conducted on raw data (rather than on its weighted score), the study identifies 12 parameters that have the highest number of correlations with total TLR, RP, GO, PR as well as total overall score with value of Pearson’s r ranging between 0.2500 to 0.9900. These 12 parameters can potentially constitute a compact and coherent set of ranking indicators on which HEIs can focus and ranking agencies may consider regrouping and redistributing weightage to these 12 indicators.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"13 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86636461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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