Pub Date : 2023-08-06DOI: 10.5530/jscires.12.2.044
Mitali Desai, R. Mehta, Dipti P Rana
Among available scholarly features on digitized scholarly platforms, certain features have high significance in assessing scholar's influence. If these features are identified, using them legitimately, emerging scholars can increase their influence and gain visibility in the scholars’ community. The purpose of this research is to identify and rank significant features on scholarly platforms. To select a data source, a comparative analysis of well-known scholarly platforms is performed. Based on the analysis, ResearchGate (RG) is selected. For RG, this research proposes a methodology to identify and rank significant scholarly features. The results demonstrate that for the rendered RG data, identified significant features in the order of their significance are number of citations, research items, followers, reads, recommendations, followings and projects. Significant features discovered in this research can be employed by various scholarly platforms to identify influential scholars. These scholars can be utilized in applications such as expert finding, influence ranking, recommendation systems, interdisciplinary collaborations etc. Moreover, the identified significant features will help scholars in focusing on certain aspects (features) to increase their influence legitimately.
{"title":"An Exploratory Study of Scholarly Platforms and Features to Help Emerging Scholars Gain Visibility in the Scholars’ Community","authors":"Mitali Desai, R. Mehta, Dipti P Rana","doi":"10.5530/jscires.12.2.044","DOIUrl":"https://doi.org/10.5530/jscires.12.2.044","url":null,"abstract":"Among available scholarly features on digitized scholarly platforms, certain features have high significance in assessing scholar's influence. If these features are identified, using them legitimately, emerging scholars can increase their influence and gain visibility in the scholars’ community. The purpose of this research is to identify and rank significant features on scholarly platforms. To select a data source, a comparative analysis of well-known scholarly platforms is performed. Based on the analysis, ResearchGate (RG) is selected. For RG, this research proposes a methodology to identify and rank significant scholarly features. The results demonstrate that for the rendered RG data, identified significant features in the order of their significance are number of citations, research items, followers, reads, recommendations, followings and projects. Significant features discovered in this research can be employed by various scholarly platforms to identify influential scholars. These scholars can be utilized in applications such as expert finding, influence ranking, recommendation systems, interdisciplinary collaborations etc. Moreover, the identified significant features will help scholars in focusing on certain aspects (features) to increase their influence legitimately.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78455748","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 : 2023-08-06DOI: 10.5530/jscires.12.2.033
Jishant Talwar, Ashutosh Bhardwaj, Namrata Dewan Soni
Silicon carbide (SiC) is a versatile industrial material and has been in use in various spheres because of its distinctive electrical and thermal properties. Among various fields, it has contributed significantly to biosensor technologies because it is both bio and hemo-compatible. Of particular interest in this study is its potential for biomedical applications. Although about 907 SiC-based biosensor articles have been published in the past 20 years (2000–2022), not many review articles have encapsulated the advancement and uses of the SiC-based biosensor. In order to better understand the development stage, research hives, and future advancement trends of SiC-based biosensor technology, it is essential to perform a broad retrospective investigation. The present study aims to explore the potential of SiC-based biosensors and their distinct features for interdisciplinary collaborations, utilizing machine learning through big data analytics. By reviewing research in this field, the study seeks to uncover global trends, challenges, and gaps in SiC-based biosensor research, as well as identify new research areas and technologies that could advance biosensor technology. By conducting the analysis, this study provides insights into the most impactful articles and top contributors to biosensor research, including journals, authors, institutions, and countries. Additionally, the study examines the methodological approaches and research contexts employed in this field. Results suggest that one of the evolving technological paths in biosensors is the use of silicon carbide-based biosensors and medical devices, which in turn are poised to transform into the commercial sphere. The main characteristics of these emerging research grounds and technologies in biosensors are illustrated for the productive effects of research and innovation policy that led to scientific advances and technological change in society.
{"title":"Global Trends in Silicon Carbide Biosensor Research: A Bibliometric Study","authors":"Jishant Talwar, Ashutosh Bhardwaj, Namrata Dewan Soni","doi":"10.5530/jscires.12.2.033","DOIUrl":"https://doi.org/10.5530/jscires.12.2.033","url":null,"abstract":"Silicon carbide (SiC) is a versatile industrial material and has been in use in various spheres because of its distinctive electrical and thermal properties. Among various fields, it has contributed significantly to biosensor technologies because it is both bio and hemo-compatible. Of particular interest in this study is its potential for biomedical applications. Although about 907 SiC-based biosensor articles have been published in the past 20 years (2000–2022), not many review articles have encapsulated the advancement and uses of the SiC-based biosensor. In order to better understand the development stage, research hives, and future advancement trends of SiC-based biosensor technology, it is essential to perform a broad retrospective investigation. The present study aims to explore the potential of SiC-based biosensors and their distinct features for interdisciplinary collaborations, utilizing machine learning through big data analytics. By reviewing research in this field, the study seeks to uncover global trends, challenges, and gaps in SiC-based biosensor research, as well as identify new research areas and technologies that could advance biosensor technology. By conducting the analysis, this study provides insights into the most impactful articles and top contributors to biosensor research, including journals, authors, institutions, and countries. Additionally, the study examines the methodological approaches and research contexts employed in this field. Results suggest that one of the evolving technological paths in biosensors is the use of silicon carbide-based biosensors and medical devices, which in turn are poised to transform into the commercial sphere. The main characteristics of these emerging research grounds and technologies in biosensors are illustrated for the productive effects of research and innovation policy that led to scientific advances and technological change in society.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75343268","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}
This article is a commentary on features and usefulness of a newly developed STI data portal, Indian Science Reports (ISR) (available at www.indianscience.net). The ISR portal is an attempt towards a systematic portal on STI data and analytics for India, both at an overall as well as at the institutional level. It can be used by a very wide audience for a variety of purposes ranging from research performance assessment to evidence-based policy formulation.
{"title":"Indian Science Reports: A Portal for Comprehensive Mapping of S&T Data and Analytics for India at an Overall and Institutional Level","authors":"Vivek Kumar Singh, Anurag Kanaujia, Prashasti Singh, Abhirup Nandy","doi":"10.5530/jscires.12.2.046","DOIUrl":"https://doi.org/10.5530/jscires.12.2.046","url":null,"abstract":"This article is a commentary on features and usefulness of a newly developed STI data portal, Indian Science Reports (ISR) (available at www.indianscience.net). The ISR portal is an attempt towards a systematic portal on STI data and analytics for India, both at an overall as well as at the institutional level. It can be used by a very wide audience for a variety of purposes ranging from research performance assessment to evidence-based policy formulation.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72450772","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 : 2023-08-06DOI: 10.5530/jscires.12.2.030
Ranju Sharma, Lata Kumari
Bioaccumulation and biotransformation of heavy metals cause serious pollution in aquatic ecosystems. This has attracted widespread attention to its negative effect on ecological and human health. In recent years, several studies have been done in this area. Among all the heavy metals, Cadmium (Cd) and lead (Pb) have been widely reported for their toxic effect. However, detailed research activity on these two pollutants in aquatic ecosystems has not been mapped. It is important to capture the key topics and domains in which research is happening. The present study attempts to address this gap. A detailed Scientometrics study was undertaken to capture the heavy metal pollution in river systems. The 33,414 research papers were identified from a topic search covering the period 2010 to 2021 from the ‘web-of-science’ database. The social network analysis approach was used for understanding the structure and dynamics of the research. The study identifies the following as major nodes in the network constructed from author keywords assigned to the research papers namely heavy metal (primarily lead, cadmium), bioremediation, carbon nanotube, and sequential extraction. The thematic areas were identified as ecological risk, adsorption, atmospheric deposition, and potential ecological risk as major domains of research namely. The study has implications for research assessment and alerting the community and policymakers to the concerns about the adverse effect of these metals on aquatic ecosystems.
{"title":"Mapping of Heavy Metal Pollution in River System: A Scientometric Approach","authors":"Ranju Sharma, Lata Kumari","doi":"10.5530/jscires.12.2.030","DOIUrl":"https://doi.org/10.5530/jscires.12.2.030","url":null,"abstract":"Bioaccumulation and biotransformation of heavy metals cause serious pollution in aquatic ecosystems. This has attracted widespread attention to its negative effect on ecological and human health. In recent years, several studies have been done in this area. Among all the heavy metals, Cadmium (Cd) and lead (Pb) have been widely reported for their toxic effect. However, detailed research activity on these two pollutants in aquatic ecosystems has not been mapped. It is important to capture the key topics and domains in which research is happening. The present study attempts to address this gap. A detailed Scientometrics study was undertaken to capture the heavy metal pollution in river systems. The 33,414 research papers were identified from a topic search covering the period 2010 to 2021 from the ‘web-of-science’ database. The social network analysis approach was used for understanding the structure and dynamics of the research. The study identifies the following as major nodes in the network constructed from author keywords assigned to the research papers namely heavy metal (primarily lead, cadmium), bioremediation, carbon nanotube, and sequential extraction. The thematic areas were identified as ecological risk, adsorption, atmospheric deposition, and potential ecological risk as major domains of research namely. The study has implications for research assessment and alerting the community and policymakers to the concerns about the adverse effect of these metals on aquatic ecosystems.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86092107","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 : 2023-08-06DOI: 10.5530/jscires.12.2.039
Mohammad Tariqur Rahman, J. V. Verhagen
Problems due to limitations of the status quo in authorship declaration across scientific fields are accumulating at an accelerating pace. Here we highlight the importance of having a mechanism to capture quantitative author contribution. That can be achieved using a range of Intellectual Activities (IAs) as recommended by International Committee for Medical Journal Editors (ICMJE), Contributor Roles Taxonomy (CRediT), or Quantitative Uniform Authorship Declaration (QUAD). Eventually, this quantitative assessment can be used to evaluate the impact of the author using the Author Performance Index (API) to avoid any superfluous credit assignment. Irrespective of the field and the online submission tool of a journal, this approach will enable the scientific community to devise a new paradigm of an objective and precise evaluation of the impact of an author in scientific communications. Not unlike climate change, adapting is inevitable, and the sooner we act the more trouble we stave off.
{"title":"Implementing Quantitative Declarations of Authorship Contribution: A Call to Action","authors":"Mohammad Tariqur Rahman, J. V. Verhagen","doi":"10.5530/jscires.12.2.039","DOIUrl":"https://doi.org/10.5530/jscires.12.2.039","url":null,"abstract":"Problems due to limitations of the status quo in authorship declaration across scientific fields are accumulating at an accelerating pace. Here we highlight the importance of having a mechanism to capture quantitative author contribution. That can be achieved using a range of Intellectual Activities (IAs) as recommended by International Committee for Medical Journal Editors (ICMJE), Contributor Roles Taxonomy (CRediT), or Quantitative Uniform Authorship Declaration (QUAD). Eventually, this quantitative assessment can be used to evaluate the impact of the author using the Author Performance Index (API) to avoid any superfluous credit assignment. Irrespective of the field and the online submission tool of a journal, this approach will enable the scientific community to devise a new paradigm of an objective and precise evaluation of the impact of an author in scientific communications. Not unlike climate change, adapting is inevitable, and the sooner we act the more trouble we stave off.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88732029","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 : 2023-08-06DOI: 10.5530/jscires.12.2.026
Brady Lund, Amrollah Shamsi, Arezoo Ghamgosar, N. Vasantha Raju, Hossein Dehdarirad, Mohammad Javad Mansourzadeh
Independent Researchers (IRs), namely unaffiliated or voluntary researchers, are a small yet important and distinct population of contributors to scholarly discourse. Due to their small number, IRs rarely receive attention in debates regarding scholarly publishing but the distinctiveness of the unaffiliated researchers warrants further examination. Documents were extracted from the Web of Science. Bibliometric parameters were as follows: main scientometric characteristics, citations analysis, publishing trends, geographical distributions, most productive countries, co-authorship network of countries, top funding sources, research areas, keyword co-occurrence network, top cited publications, top productive journals and gender of IRs. 3357 documents were retrieved that were individually or collaboratively authored by 3784 IRs from 1980-2021. There were 589 single-authored documents. More than 70% of documents were research articles, followed by meeting abstracts (8.66%). All documents received 52279 citations, with 19.45 average citations per document. Private Practice was the most affiliation format of IRs. Publications started to grow since 2000, with almost 40% of them published from 2017-2021. The United States published almost half of all IRs-related publications. Most of the research funding was primarily contributed by government agencies, with the United States being a major player in this regard. Also, many IRs are active in medical disciplines research, and are highly collaborative, often with multiple Co-authors. 33.5% of IRs authors were women and 66.5% were men. This understanding of IRs illustrates the importance of this group and encourages further research and support for this population of science contributors.
{"title":"Independent Researchers: A Bibliometric Analysis","authors":"Brady Lund, Amrollah Shamsi, Arezoo Ghamgosar, N. Vasantha Raju, Hossein Dehdarirad, Mohammad Javad Mansourzadeh","doi":"10.5530/jscires.12.2.026","DOIUrl":"https://doi.org/10.5530/jscires.12.2.026","url":null,"abstract":"Independent Researchers (IRs), namely unaffiliated or voluntary researchers, are a small yet important and distinct population of contributors to scholarly discourse. Due to their small number, IRs rarely receive attention in debates regarding scholarly publishing but the distinctiveness of the unaffiliated researchers warrants further examination. Documents were extracted from the Web of Science. Bibliometric parameters were as follows: main scientometric characteristics, citations analysis, publishing trends, geographical distributions, most productive countries, co-authorship network of countries, top funding sources, research areas, keyword co-occurrence network, top cited publications, top productive journals and gender of IRs. 3357 documents were retrieved that were individually or collaboratively authored by 3784 IRs from 1980-2021. There were 589 single-authored documents. More than 70% of documents were research articles, followed by meeting abstracts (8.66%). All documents received 52279 citations, with 19.45 average citations per document. Private Practice was the most affiliation format of IRs. Publications started to grow since 2000, with almost 40% of them published from 2017-2021. The United States published almost half of all IRs-related publications. Most of the research funding was primarily contributed by government agencies, with the United States being a major player in this regard. Also, many IRs are active in medical disciplines research, and are highly collaborative, often with multiple Co-authors. 33.5% of IRs authors were women and 66.5% were men. This understanding of IRs illustrates the importance of this group and encourages further research and support for this population of science contributors.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90808576","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 : 2023-08-06DOI: 10.5530/jscires.12.2.049
Anup Kumar Das
{"title":"South Asian Science Diplomacy in a Nutshell","authors":"Anup Kumar Das","doi":"10.5530/jscires.12.2.049","DOIUrl":"https://doi.org/10.5530/jscires.12.2.049","url":null,"abstract":"","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82532218","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 : 2023-08-06DOI: 10.5530/jscires.12.2.045
Mohammad Haris, P.M. Naushad Ali, Priya Vaidya
The present study intends to explore the overall research performance/engagement of the faculty members on the ResearchGate from the Physics discipline working at Indian Central Universities. The analyzed data revealed that 473 faculty members were found, but only 361 (i.e., 76.32%) have their profile on ResearchGate. Further analyses include the distribution of RG metrices which indicated that 98.89% and 98.06% of the faculty members had added at least one research item and at least one full-text research item over the RG, respectively. The findings stated that Kriti Ranjan from the University of Delhi secured highest ranking across all metrices, except followers and followings. The mean value for the Reads and Citations were found to be 27525.59 (std. dev. = 163029.86) and 1555.2 (std. dev. = 5838.76), respectively. In addition, RI Score exhibits a strong positive correlation with other RG-based metrices excluding the ‘following’. This study can be considered the only ResearchGate analyses that has included the working researchers of the Physics discipline by analyzing their research engagement and active presence over it.
{"title":"Assessment of ResearchGate to Unfurl the Academic Pursuits of Physics Scholars","authors":"Mohammad Haris, P.M. Naushad Ali, Priya Vaidya","doi":"10.5530/jscires.12.2.045","DOIUrl":"https://doi.org/10.5530/jscires.12.2.045","url":null,"abstract":"The present study intends to explore the overall research performance/engagement of the faculty members on the ResearchGate from the Physics discipline working at Indian Central Universities. The analyzed data revealed that 473 faculty members were found, but only 361 (i.e., 76.32%) have their profile on ResearchGate. Further analyses include the distribution of RG metrices which indicated that 98.89% and 98.06% of the faculty members had added at least one research item and at least one full-text research item over the RG, respectively. The findings stated that Kriti Ranjan from the University of Delhi secured highest ranking across all metrices, except followers and followings. The mean value for the Reads and Citations were found to be 27525.59 (std. dev. = 163029.86) and 1555.2 (std. dev. = 5838.76), respectively. In addition, RI Score exhibits a strong positive correlation with other RG-based metrices excluding the ‘following’. This study can be considered the only ResearchGate analyses that has included the working researchers of the Physics discipline by analyzing their research engagement and active presence over it.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74889950","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 : 2023-08-06DOI: 10.5530/jscires.12.2.042
A. Müngen
This study investigates the variations in lexical richness within English language theses across diverse disciplines, focusing on areas where researchers exhibit higher degrees of lexical richness and the evolution of vocabulary usage over time. By analyzing these variations, the research aims to provide insights into the effective use of lexical richness in academic writing and contribute to the development of more engaging and comprehensible scholarly publications. A total of 320 theses were randomly selected from the Turkey National Thesis Center and classified according to their scientific discipline. Using natural language processing techniques, unique word count, word diversity, and other metrics were analyzed. Results reveal that social sciences tend to exhibit higher lexical richness compared to natural sciences, and no significant difference was observed in word richness between social and natural sciences disciplines. These findings contribute to the understanding of lexical richness in academic writing and highlight the importance of achieving a balance between lexical richness and readability.
{"title":"Exploring Lexical Richness in English-Language theses Across Disciplines: A Comparative Analysis","authors":"A. Müngen","doi":"10.5530/jscires.12.2.042","DOIUrl":"https://doi.org/10.5530/jscires.12.2.042","url":null,"abstract":"This study investigates the variations in lexical richness within English language theses across diverse disciplines, focusing on areas where researchers exhibit higher degrees of lexical richness and the evolution of vocabulary usage over time. By analyzing these variations, the research aims to provide insights into the effective use of lexical richness in academic writing and contribute to the development of more engaging and comprehensible scholarly publications. A total of 320 theses were randomly selected from the Turkey National Thesis Center and classified according to their scientific discipline. Using natural language processing techniques, unique word count, word diversity, and other metrics were analyzed. Results reveal that social sciences tend to exhibit higher lexical richness compared to natural sciences, and no significant difference was observed in word richness between social and natural sciences disciplines. These findings contribute to the understanding of lexical richness in academic writing and highlight the importance of achieving a balance between lexical richness and readability.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74080396","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 : 2023-08-06DOI: 10.5530/jscires.12.2.029
Isaac Appiah-Otoo
This study utilizes a scientometric/bibliometric analysis to map the status quo of research on finance-growth from 2005 to 2022. By using a sample of 404 articles from the Web of Science Core Collection database and the VOSviewer computer software, the study documented the following: First, research on finance-growth has reached the growth stage with 2021 recording the highest number of publications. Second, business and economics journals have published the largest number of articles. Besides, the USA and China have produced the largest number of articles while Eastern Mediterranean University, Monash University, and Universiti Sains Malaysia are the leading institutions in finance-growth research. Furthermore, Levine Ross, Beck Thorsten, and King Robert can be credited with the modern finance-growth thesis. Finally, economic growth and financial development are the leading keywords in the field.
本研究采用科学计量与文献计量相结合的方法，对2005 - 2022年金融增长研究现状进行了分析。本研究以Web of Science Core Collection数据库中的404篇文章为样本，利用VOSviewer计算机软件进行研究，结果表明:第一，财务增长研究进入成长期，2021年的论文发表量最高。其次，商业和经济类期刊发表的文章最多。此外，美国和中国发表的论文数量最多，而东地中海大学、莫纳什大学和马来西亚理科大学是金融增长研究的领先机构。此外，莱文·罗斯、贝克·托尔斯滕和金·罗伯特也被认为是现代金融增长理论的创始人。最后，经济增长和金融发展是该领域的主导关键词。
{"title":"A Bibliometric Assessment of the Finance-growth Literature: Current Status, Development and Future Direction","authors":"Isaac Appiah-Otoo","doi":"10.5530/jscires.12.2.029","DOIUrl":"https://doi.org/10.5530/jscires.12.2.029","url":null,"abstract":"This study utilizes a scientometric/bibliometric analysis to map the status quo of research on finance-growth from 2005 to 2022. By using a sample of 404 articles from the Web of Science Core Collection database and the VOSviewer computer software, the study documented the following: First, research on finance-growth has reached the growth stage with 2021 recording the highest number of publications. Second, business and economics journals have published the largest number of articles. Besides, the USA and China have produced the largest number of articles while Eastern Mediterranean University, Monash University, and Universiti Sains Malaysia are the leading institutions in finance-growth research. Furthermore, Levine Ross, Beck Thorsten, and King Robert can be credited with the modern finance-growth thesis. Finally, economic growth and financial development are the leading keywords in the field.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77850890","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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