Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1920066
H. Lathabai, T. Prabhakaran, Susan George, M. Changat
Network analysis is found to be effective for mining various aspects from technological and scientific literature. Path analysis, a major tool in the network analysis trio, consists of two crucial steps-weight assignment and search method. An innovative search scheme namely, key-route search method is found to be capable of retrieving multiple paths. Recently, a framework that explored the power of combined networks or NoNs (Network of networks) for interdisciplinarity assessment was proposed. In this work, a framework that utilizes the strength of NoNs and the integrated approach to path analysis is developed for mining the interdisciplinary trajectories in techno-scientific literature. Among the two major weight assignment schemes such as SPC and FV gradient schemes, FV gradient is found to better leverage key-route search scheme in mining multiple evolutionary trajectories with interdisciplinary interactions. This framework can serve as a handy tool for a multitude of beneficiaries including policy makers.
{"title":"Mining interdisciplinary trajectories using multiple path analysis","authors":"H. Lathabai, T. Prabhakaran, Susan George, M. Changat","doi":"10.1080/09737766.2021.1920066","DOIUrl":"https://doi.org/10.1080/09737766.2021.1920066","url":null,"abstract":"Network analysis is found to be effective for mining various aspects from technological and scientific literature. Path analysis, a major tool in the network analysis trio, consists of two crucial steps-weight assignment and search method. An innovative search scheme namely, key-route search method is found to be capable of retrieving multiple paths. Recently, a framework that explored the power of combined networks or NoNs (Network of networks) for interdisciplinarity assessment was proposed. In this work, a framework that utilizes the strength of NoNs and the integrated approach to path analysis is developed for mining the interdisciplinary trajectories in techno-scientific literature. Among the two major weight assignment schemes such as SPC and FV gradient schemes, FV gradient is found to better leverage key-route search scheme in mining multiple evolutionary trajectories with interdisciplinary interactions. This framework can serve as a handy tool for a multitude of beneficiaries including policy makers.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"285 - 300"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1920066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42259625","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}
Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1927881
Azubuike Ezenwoke, Onyeka Emebo
The objective of this paper is to uncover the relationship between internet penetration and cloud computing research output and to understand the connection between the interest in cloud computing on research outputs in cloud computing from African countries. For the period of 2009 to 2017, bibliometric data on cloud computing research was retrieved from the Scopus database. Online search traffic data on the search term “cloud computing” was obtained from Google trends for the period under review. Our results show that there was a strong significant correlation between internet penetration and the total number of scholarly outputs within the given period for all countries studied, suggesting that an increase in internet penetration is directly proportional to increase in cloud computing research activities and outputs from a given region. The penetration of internet technologies contributes significantly to the advancement of research efforts and scholarly outputs in ICT-related endeavours.
{"title":"The impact of internet access on cloud computing research in Africa: Analysis of bibliometric and online search data","authors":"Azubuike Ezenwoke, Onyeka Emebo","doi":"10.1080/09737766.2021.1927881","DOIUrl":"https://doi.org/10.1080/09737766.2021.1927881","url":null,"abstract":"The objective of this paper is to uncover the relationship between internet penetration and cloud computing research output and to understand the connection between the interest in cloud computing on research outputs in cloud computing from African countries. For the period of 2009 to 2017, bibliometric data on cloud computing research was retrieved from the Scopus database. Online search traffic data on the search term “cloud computing” was obtained from Google trends for the period under review. Our results show that there was a strong significant correlation between internet penetration and the total number of scholarly outputs within the given period for all countries studied, suggesting that an increase in internet penetration is directly proportional to increase in cloud computing research activities and outputs from a given region. The penetration of internet technologies contributes significantly to the advancement of research efforts and scholarly outputs in ICT-related endeavours.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"393 - 410"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1927881","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45411264","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 field of financial literacy is ever evolving and a wide array of research has illuminated this field since last three decades. The present study explores the avenues of research dimensions in financial literacy domain by synthesizing the contributions of pioneering journals, authors, institutions and countries. The authors have deployed bibliometric and network visualisation tool such as VoS Viewer for analysing the bibliometric information obtained from Scopus database. Analysis of 762 nos of articles found in the dataset, published in 395 journals revealed 10 highly cited research article, 4 cluster of keywords and 8 clusters of countries that substantiated the research field. The VoS Network visualisation has been depicted for each parameter. The study found that financial literacy, human literacy, education and retirement constitute matured, yet potential research areas to be undertaken by scholars of Financial Literacy.
{"title":"Knowledge mapping in the discipline of financial literacy and charting the future directions","authors":"Biswajit Prasad Chhatoi, Sharada Prasad Sahoo, Durga Prasad Nayak","doi":"10.1080/09737766.2020.1841584","DOIUrl":"https://doi.org/10.1080/09737766.2020.1841584","url":null,"abstract":"The field of financial literacy is ever evolving and a wide array of research has illuminated this field since last three decades. The present study explores the avenues of research dimensions in financial literacy domain by synthesizing the contributions of pioneering journals, authors, institutions and countries. The authors have deployed bibliometric and network visualisation tool such as VoS Viewer for analysing the bibliometric information obtained from Scopus database. Analysis of 762 nos of articles found in the dataset, published in 395 journals revealed 10 highly cited research article, 4 cluster of keywords and 8 clusters of countries that substantiated the research field. The VoS Network visualisation has been depicted for each parameter. The study found that financial literacy, human literacy, education and retirement constitute matured, yet potential research areas to be undertaken by scholars of Financial Literacy.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"311 - 330"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1841584","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44966988","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}
Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1915721
B. Niveditha, Mallinath Kumbar
The present study examines the availability of web citations in scholarly journals of Library and Information Science and Communication and Media Studies. The journals were selected based on their high impact factor published between 2008 and 2017. A PHP script was used to crawl the Uniform Resource Locators collected from the references. A total of 12,251 articles were downloaded and 5,55,428 references were extracted. A total of 1,02,718 URLs were checked for their availability. Further, the lexical features of URL like file extension, path depth, character length and the top-level domain were determined. The research findings indicated that the percentage of web citations in articles has been continuously increased from 2008 to 2017 in both disciplines. The result of the accessibility check indicated that more number of URLs in CMS journal articles were accessible than in LIS journal articles. The majority of errors in both the disciplines were due to HTTP 404 error code (Not found error). The findings of the study will be helpful to authors, publishers and editorial staff to ensure that web citations will be accessible in future.
{"title":"Web citation analysis of Library and Information Science and Communication and Media Studies journals : A comparative study","authors":"B. Niveditha, Mallinath Kumbar","doi":"10.1080/09737766.2021.1915721","DOIUrl":"https://doi.org/10.1080/09737766.2021.1915721","url":null,"abstract":"The present study examines the availability of web citations in scholarly journals of Library and Information Science and Communication and Media Studies. The journals were selected based on their high impact factor published between 2008 and 2017. A PHP script was used to crawl the Uniform Resource Locators collected from the references. A total of 12,251 articles were downloaded and 5,55,428 references were extracted. A total of 1,02,718 URLs were checked for their availability. Further, the lexical features of URL like file extension, path depth, character length and the top-level domain were determined. The research findings indicated that the percentage of web citations in articles has been continuously increased from 2008 to 2017 in both disciplines. The result of the accessibility check indicated that more number of URLs in CMS journal articles were accessible than in LIS journal articles. The majority of errors in both the disciplines were due to HTTP 404 error code (Not found error). The findings of the study will be helpful to authors, publishers and editorial staff to ensure that web citations will be accessible in future.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"335 - 348"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1915721","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43398289","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}
Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1906779
Jin Chen, Wei Zhou
In the tourism industry, it is becoming increasingly significant to answer the question “why do we travel”. There are various methods and perspectives to answer this question, but few studies focus on the development of travel motivation research. As a result, by investigating 1675 publications from 1990 to 2019, we provide a comprehensive bibliometric analysis of the status quo and emerging trends of tourist travel motivation research. The findings are as follows: (1) The active countries in this area are The USA, The UK, China and Australia. (2) “Tourist personal values” and “preferences” are the emerging trends in recent years. (4) Most of travel motivation studies belong to the disciplines of social science, hospitality, business & economics, environmental science & ecology, management, transportation, engineering and psychology. By analyzing the development of travel motivation area from historical, conceptual and geographical perspectives, the hot spots in certain periods and the current status of this area are analyzed in detail. In this paper, we contribute to providing the visualized knowledge domain of travel motivation research, which helps researchers who are interested in this area to learn the development of travel motivation research in the recent 3 decades more directly. Besides, understanding the research fronts in different periods also enables decision makers, especially managers in the tourism industry to know more about their consumers so that they can set effective marketing strategies accordingly.
{"title":"The exploration of travel motivation research : A scientometric analysis based on CiteSpace","authors":"Jin Chen, Wei Zhou","doi":"10.1080/09737766.2021.1906779","DOIUrl":"https://doi.org/10.1080/09737766.2021.1906779","url":null,"abstract":"In the tourism industry, it is becoming increasingly significant to answer the question “why do we travel”. There are various methods and perspectives to answer this question, but few studies focus on the development of travel motivation research. As a result, by investigating 1675 publications from 1990 to 2019, we provide a comprehensive bibliometric analysis of the status quo and emerging trends of tourist travel motivation research. The findings are as follows: (1) The active countries in this area are The USA, The UK, China and Australia. (2) “Tourist personal values” and “preferences” are the emerging trends in recent years. (4) Most of travel motivation studies belong to the disciplines of social science, hospitality, business & economics, environmental science & ecology, management, transportation, engineering and psychology. By analyzing the development of travel motivation area from historical, conceptual and geographical perspectives, the hot spots in certain periods and the current status of this area are analyzed in detail. In this paper, we contribute to providing the visualized knowledge domain of travel motivation research, which helps researchers who are interested in this area to learn the development of travel motivation research in the recent 3 decades more directly. Besides, understanding the research fronts in different periods also enables decision makers, especially managers in the tourism industry to know more about their consumers so that they can set effective marketing strategies accordingly.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"257 - 283"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1906779","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42981680","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}
Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1918031
Sidhartha Sahoo, Shriram Pandey
In this paper, an attempt was made to evaluate and analyze the research output in the domain of Storm surges which were published and indexed in SCOPUS databases during 1999-2019. Detail analysis was made to understand the growth of literature, publication trends, authorship pattern, keywords, leading countries, and prominent institutes using scientometric methods in the subject domain of storm surges. It has been found that research output in this domain generally increased over the years with maximum publications in 2016. USA, followed by China, has significantly contributed towards the research growth. India holds 10th rank with (3.98%) share of papers along with total citations of (3363) and h-index 30. Top 15 journals were published about 1586 (22.30%) papers and received 30.51% (28915) of total citations. Relative Citation Impact value is highest for UK (1.99) closely followed by Netherland (1.60), France (1.55) and Italy (1.55).The value of RCI is less than the world average for India (0.89). Multi authors papers are predominant than a single author. National Science Foundation, National Natural Science Foundation of China. NOAA, NERC, Japan Society for the Promotion of Science and European Commission are a prominent agency which provides funding support for the advancement of the storm surges research.
{"title":"Measuring growth pattern and publications trends of storm surges research during (1999-2019) : A scientometric study","authors":"Sidhartha Sahoo, Shriram Pandey","doi":"10.1080/09737766.2021.1918031","DOIUrl":"https://doi.org/10.1080/09737766.2021.1918031","url":null,"abstract":"In this paper, an attempt was made to evaluate and analyze the research output in the domain of Storm surges which were published and indexed in SCOPUS databases during 1999-2019. Detail analysis was made to understand the growth of literature, publication trends, authorship pattern, keywords, leading countries, and prominent institutes using scientometric methods in the subject domain of storm surges. It has been found that research output in this domain generally increased over the years with maximum publications in 2016. USA, followed by China, has significantly contributed towards the research growth. India holds 10th rank with (3.98%) share of papers along with total citations of (3363) and h-index 30. Top 15 journals were published about 1586 (22.30%) papers and received 30.51% (28915) of total citations. Relative Citation Impact value is highest for UK (1.99) closely followed by Netherland (1.60), France (1.55) and Italy (1.55).The value of RCI is less than the world average for India (0.89). Multi authors papers are predominant than a single author. National Science Foundation, National Natural Science Foundation of China. NOAA, NERC, Japan Society for the Promotion of Science and European Commission are a prominent agency which provides funding support for the advancement of the storm surges research.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"237 - 256"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1918031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46590256","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}
Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1913976
Sendhilkumar Muthappan, K. Ilangovan, Rathinavel Subramanian, Mantela Durairajan, R. Elumalai
Background : Bibliometrics is a tool used to achieve quantitative research assessment exercises of academic output in the field of scientific research. Yoga is practiced in different parts of the world. Yoga acknowledges the unity of mind, body and spirit, mind-body fitness, and helps people pursue peace and mindfulness in their lives. This bibliometric study aims to map the trend of yoga research globally using bibliometric tools. Methods : We have employed advance search in PubMed using the specific MeSH term “Yoga” and other yoga similar words such as “Yogic”, “Pranayama” and “Asana”. We haven’t restricted the timeline or country-specific for the search. We have curated the bibliometric data by the year of publication, by the name of the journal, and by the number of authors contributed. Findings : We retrieved 4,320 research papers from the PubMed database. The research article publications on yoga have increased tenfold after the year 2000. The original articles and clinical studies were common articles published over the last two decades in the yoga system. The International Journal of Yoga has the highest number of yoga research publications. Nearly 80 % of articles were published by less than five authors. Conclusion : Globally, increased investment and high attention on yoga have resulted in an increase in research publications. The scientific study of Yoga has increased substantially in recent years and many clinical trials have been designed to assess its therapeutic effects and benefits.
{"title":"Bibliometric analysis of yoga scientific publications : An analysis of PubMed database 1948 - 2018","authors":"Sendhilkumar Muthappan, K. Ilangovan, Rathinavel Subramanian, Mantela Durairajan, R. Elumalai","doi":"10.1080/09737766.2021.1913976","DOIUrl":"https://doi.org/10.1080/09737766.2021.1913976","url":null,"abstract":"Background : Bibliometrics is a tool used to achieve quantitative research assessment exercises of academic output in the field of scientific research. Yoga is practiced in different parts of the world. Yoga acknowledges the unity of mind, body and spirit, mind-body fitness, and helps people pursue peace and mindfulness in their lives. This bibliometric study aims to map the trend of yoga research globally using bibliometric tools. Methods : We have employed advance search in PubMed using the specific MeSH term “Yoga” and other yoga similar words such as “Yogic”, “Pranayama” and “Asana”. We haven’t restricted the timeline or country-specific for the search. We have curated the bibliometric data by the year of publication, by the name of the journal, and by the number of authors contributed. Findings : We retrieved 4,320 research papers from the PubMed database. The research article publications on yoga have increased tenfold after the year 2000. The original articles and clinical studies were common articles published over the last two decades in the yoga system. The International Journal of Yoga has the highest number of yoga research publications. Nearly 80 % of articles were published by less than five authors. Conclusion : Globally, increased investment and high attention on yoga have resulted in an increase in research publications. The scientific study of Yoga has increased substantially in recent years and many clinical trials have been designed to assess its therapeutic effects and benefits.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"301 - 309"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1913976","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46716911","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}
Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1906182
P. Kokol, Grega Zlahtic, J. Završnik, Helena Blažun Vošner
Dr. Buonocore, a pioneer of adhesive dentistry, published his landmark paper about increasing the adhesion of acrylic filling material to enamel surfaces in 1955. His paper was cited rarely till 1971, and then it suddenly became cited extensively, showing characteristics of a remarkable Sleeping Paper. The citation history of the Buonocore paper was retrieved from Web of Science. The citing papers were analysed with the VOSviewer and CitiNetExplorer software to identify the prince and asses the papers impact. The analysis showed that Buonocorès paper is a sleeping paper, with a very dynamic citation history. Peaks in the citation history occurred in conjunction with important milestones in the history of adhesive dentistry showing that Sleeping Papers may be used to identify important scientific discoveries and can significant events in the history of a discipline.
Buonocore博士是粘性牙科的先驱，他于1955年发表了一篇具有里程碑意义的论文，内容是提高丙烯酸填充材料与牙釉质表面的粘附力。直到1971年，他的论文很少被引用，然后突然被广泛引用，显示出一篇引人注目的睡眠论文的特点。Buonocore论文的引用历史可从Web of Science中检索。引用的论文用VOSviewer和CitiNetExplorer软件进行了分析，以确定王子并评估论文的影响。分析表明，Buonocorès的论文是一篇休眠论文，具有非常动态的引用历史。引用史上的峰值与粘附牙科史上的重要里程碑同时出现，这表明睡眠论文可以用于识别重要的科学发现，并可能是学科史上的重大事件。
{"title":"Buonocore research in adhesive dentistry : A remarkable sleeping paper","authors":"P. Kokol, Grega Zlahtic, J. Završnik, Helena Blažun Vošner","doi":"10.1080/09737766.2021.1906182","DOIUrl":"https://doi.org/10.1080/09737766.2021.1906182","url":null,"abstract":"Dr. Buonocore, a pioneer of adhesive dentistry, published his landmark paper about increasing the adhesion of acrylic filling material to enamel surfaces in 1955. His paper was cited rarely till 1971, and then it suddenly became cited extensively, showing characteristics of a remarkable Sleeping Paper. The citation history of the Buonocore paper was retrieved from Web of Science. The citing papers were analysed with the VOSviewer and CitiNetExplorer software to identify the prince and asses the papers impact. The analysis showed that Buonocorès paper is a sleeping paper, with a very dynamic citation history. Peaks in the citation history occurred in conjunction with important milestones in the history of adhesive dentistry showing that Sleeping Papers may be used to identify important scientific discoveries and can significant events in the history of a discipline.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"211 - 217"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1906182","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45837034","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}
Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1918032
Y. Ho, Ming-Huang Wang
This study aimed to analyze the characteristics of artificial intelligence-related publications in Science Citation Index Expanded (SCIEXPANDED) from 1991 to 2018. The analyzed aspects covered distribution of annual publications, citations per publication, journals, Web of Science categories, countries, institutions, as well as research foci and their trends. A total of 13,251 artificial intelligence-related articles were found. Articles were published in a wide range of journals and Web of Science categories. The United States took the lead position in total, single country, international collaboration, and first, corresponding, and single author articles as well as citations per publication among 119 countries. Chinese Academy of Sciences in China, Islamic Azad University in Iran, and Massachusetts Institute of Technology (MIT) in USA were the three most productive institutions. MIT had higher citations per publication. An international collaborative article by authors from Canada, the United States, and Switzerland was the most frequently cited article with the most total citations from Web of Science Core Collection since publication through the end of 2018. Results from word cluster analysis showed that models, neural networks, learning, and prediction were the most popular topics and features, classification, and optimization might be focus in artificial intelligence research.
{"title":"A bibliometric analysis of artificial intelligence publications from 1991 to 2018","authors":"Y. Ho, Ming-Huang Wang","doi":"10.1080/09737766.2021.1918032","DOIUrl":"https://doi.org/10.1080/09737766.2021.1918032","url":null,"abstract":"This study aimed to analyze the characteristics of artificial intelligence-related publications in Science Citation Index Expanded (SCIEXPANDED) from 1991 to 2018. The analyzed aspects covered distribution of annual publications, citations per publication, journals, Web of Science categories, countries, institutions, as well as research foci and their trends. A total of 13,251 artificial intelligence-related articles were found. Articles were published in a wide range of journals and Web of Science categories. The United States took the lead position in total, single country, international collaboration, and first, corresponding, and single author articles as well as citations per publication among 119 countries. Chinese Academy of Sciences in China, Islamic Azad University in Iran, and Massachusetts Institute of Technology (MIT) in USA were the three most productive institutions. MIT had higher citations per publication. An international collaborative article by authors from Canada, the United States, and Switzerland was the most frequently cited article with the most total citations from Web of Science Core Collection since publication through the end of 2018. Results from word cluster analysis showed that models, neural networks, learning, and prediction were the most popular topics and features, classification, and optimization might be focus in artificial intelligence research.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"369 - 392"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1918032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47013792","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}
Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1906183
Arman Rahimmi
Nowadays, h-index is considered as an important factor to assess the productivity and citation impact of researchers’ publications. Indeed, Jorge E. Hirsch, a physicist at University of California San Diego, developed and suggested h-index in 2005. At the time, h-index could present a score, which successfully integrated the number of articles and citations for a researcher. Thus, it could simultaneously assess the quality and quantity of a researcher’s total publications. It was also simple and easy to understand. Accordingly, h-index received much attention all around the world and became popular very soon. So that, currently in many scientific societies, it is considered as a factor to compare the scientific impact and credit of researchers. However, h-index has received many criticisms since its introduction. Here, I want to mention some of its defects and weaknesses, as a factor assessing the scientific impact and credit of researchers, from my point of view. However, these defects also has been discussed previously in different manners. Finally, this letter is going to conclude that nowadays, we need a more comprehensive ranking-factor (as an appropriate alternative for h-index) that keeps the advantages of h-index, while lacks its weaknesses.
{"title":"Drawbacks to h-index, as a factor assessing the scientific impact and the scientific credit of a researcher","authors":"Arman Rahimmi","doi":"10.1080/09737766.2021.1906183","DOIUrl":"https://doi.org/10.1080/09737766.2021.1906183","url":null,"abstract":"Nowadays, h-index is considered as an important factor to assess the productivity and citation impact of researchers’ publications. Indeed, Jorge E. Hirsch, a physicist at University of California San Diego, developed and suggested h-index in 2005. At the time, h-index could present a score, which successfully integrated the number of articles and citations for a researcher. Thus, it could simultaneously assess the quality and quantity of a researcher’s total publications. It was also simple and easy to understand. Accordingly, h-index received much attention all around the world and became popular very soon. So that, currently in many scientific societies, it is considered as a factor to compare the scientific impact and credit of researchers. However, h-index has received many criticisms since its introduction. Here, I want to mention some of its defects and weaknesses, as a factor assessing the scientific impact and credit of researchers, from my point of view. However, these defects also has been discussed previously in different manners. Finally, this letter is going to conclude that nowadays, we need a more comprehensive ranking-factor (as an appropriate alternative for h-index) that keeps the advantages of h-index, while lacks its weaknesses.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"331 - 333"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1906183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45713029","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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