Negar Hamed Golzar, Elif Altunok, Amir Aghabaiglou, M. O. Külekci
{"title":"一个基于与该国有关联的科学家发表的文章来评估一个国家科学生产力的框架","authors":"Negar Hamed Golzar, Elif Altunok, Amir Aghabaiglou, M. O. Külekci","doi":"10.1108/idd-08-2021-0082","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study aims to propose a framework to assess the scientific productivity performance of a country in terms of its international visibility and national capabilities.\n\n\nDesign/methodology/approach\nIn a given subject, all publications with at least one author from the target country as well as the received citations are counted as quantitative and qualitative indicators, respectively. The ratios of these counts to their expected values, which are estimated according to the global gross domestic product (GDP) and population percentages of the country are used to assess international visibility. Also, in certain publications, all authors are from the target country, therefore, their publication and citation proportions are provided as metrics of national competence.\n\n\nFindings\nAs a sample, this study analyzes Turkey’s performance in “Business, Economics & Management” and “Engineering & Computer Science” in the top 20 publication venues of the regarding subject areas according to Google Scholar Metrics taxonomy. This study shows that in some subfields, Turkey’s performance is 2.73–6 times as per expectations. This study also provides the international visibility assessment of all countries for the past two decades in “Theoretical Computer Science” which shows that Israel is a leading country based on this framework.\n\n\nOriginality/value\nThis paper introduces new indices to evaluate a country’s national competence and international visibility on a subject field based on the number of published papers affiliated with the country and their citations by considering the global GDP and population share.\n","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A framework for assessing a country’s scientific productivity based on published articles by scientists affiliated with that country\",\"authors\":\"Negar Hamed Golzar, Elif Altunok, Amir Aghabaiglou, M. 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Also, in certain publications, all authors are from the target country, therefore, their publication and citation proportions are provided as metrics of national competence.\\n\\n\\nFindings\\nAs a sample, this study analyzes Turkey’s performance in “Business, Economics & Management” and “Engineering & Computer Science” in the top 20 publication venues of the regarding subject areas according to Google Scholar Metrics taxonomy. This study shows that in some subfields, Turkey’s performance is 2.73–6 times as per expectations. 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A framework for assessing a country’s scientific productivity based on published articles by scientists affiliated with that country
Purpose
This study aims to propose a framework to assess the scientific productivity performance of a country in terms of its international visibility and national capabilities.
Design/methodology/approach
In a given subject, all publications with at least one author from the target country as well as the received citations are counted as quantitative and qualitative indicators, respectively. The ratios of these counts to their expected values, which are estimated according to the global gross domestic product (GDP) and population percentages of the country are used to assess international visibility. Also, in certain publications, all authors are from the target country, therefore, their publication and citation proportions are provided as metrics of national competence.
Findings
As a sample, this study analyzes Turkey’s performance in “Business, Economics & Management” and “Engineering & Computer Science” in the top 20 publication venues of the regarding subject areas according to Google Scholar Metrics taxonomy. This study shows that in some subfields, Turkey’s performance is 2.73–6 times as per expectations. This study also provides the international visibility assessment of all countries for the past two decades in “Theoretical Computer Science” which shows that Israel is a leading country based on this framework.
Originality/value
This paper introduces new indices to evaluate a country’s national competence and international visibility on a subject field based on the number of published papers affiliated with the country and their citations by considering the global GDP and population share.
期刊介绍:
Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.