A framework for assessing a country’s scientific productivity based on published articles by scientists affiliated with that country

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Negar Hamed Golzar, Elif Altunok, Amir Aghabaiglou, M. O. Külekci
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引用次数: 0

Abstract

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.
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
本研究旨在提出一个从国际知名度和国家能力两方面评估一国科学生产力绩效的框架。设计/方法/方法在某一主题中,至少有一位作者来自目标国家的所有出版物以及收到的引用分别作为数量和质量指标计算。这些计数与其期望值的比率是根据该国的全球国内生产总值(GDP)和人口百分比估算的,用于评估国际知名度。此外,在某些出版物中,所有作者都来自目标国家,因此,他们的出版和引用比例被作为国家能力的衡量标准。作为一个样本,本研究分析了土耳其在“商业、经济与管理”和“工程与计算机科学”方面的表现,根据谷歌Scholar Metrics分类法,在相关学科领域的前20个出版场所中。该研究表明,在一些子油田,土耳其的表现是预期的2.73-6倍。本研究还提供了过去二十年来所有国家在“理论计算机科学”方面的国际知名度评估,表明以色列是基于该框架的领先国家。原创性/价值本文引入了新的指标来评估一个国家在一个学科领域的国家能力和国际知名度,该指标基于该国发表的论文数量及其被引用的次数,并考虑到全球GDP和人口份额。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Discovery and Delivery
Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
5.40
自引率
4.80%
发文量
21
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.
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