Dubious cross-national affiliations obscure the assessment of international research collaboration

IF 3.4 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Informetrics Pub Date : 2024-01-18 DOI:10.1016/j.joi.2024.101496
Chung-Huei Kuan , Dar-Zen Chen , Mu-Hsuan Huang
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Abstract

Assessing international research collaboration through cross-national papers is a common practice but may be compromised by dubious affiliations lacking clear evidence of substantial collaboration. In this study, we analyze cross-national papers indexed in SCIE, SSCI, and A&HCI databases, published between 2012 and 2021, and affiliated respectively with pairs of four nations: the US, China, the United Kingdom, and Australia. Our findings reveal that at least 27 % of them exhibit dubious affiliations, with the proportion potentially rising above 60 % in SCIE papers between the United Kingdom and Australia. This underscores the need to address the potential impact of these papers. We also find that academic practice, cultural proximity, and geopolitical tension have affected the prevalence of different types of dubious affiliations across disciplinary categories and nation pairs. Moreover, papers with dubious affiliations are more prevalent in collaborations among Western nations compared to those involving China. A particular type of dubious affiliations, known as Solo Show, is especially pronounced between the US and China, highlighting the distinctive nature of their pattern of collaboration.

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可疑的跨国隶属关系模糊了对国际研究合作的评估
通过跨国论文评估国际研究合作是一种常见的做法,但可能会因为缺乏实质性合作的明确证据而受到可疑关联的影响。在本研究中,我们分析了SCIE、SSCI和A&HCI数据库收录的跨国论文,这些论文发表于2012年至2021年间,分别隶属于美国、中国、英国和澳大利亚这四个国家。我们的研究结果表明,其中至少有27%的论文显示出可疑的隶属关系,而在英国和澳大利亚之间的SCIE论文中,这一比例有可能上升到60%以上。这凸显了应对这些论文潜在影响的必要性。我们还发现,学术实践、文化接近度和地缘政治紧张局势影响了不同学科类别和国家对中不同类型的可疑关联的普遍性。此外,与涉及中国的论文相比,西方国家之间的合作中存在可疑关联的论文更为普遍。一种被称为 "个人秀 "的特殊类型的可疑关联在中美之间尤为明显,凸显了两国合作模式的独特性。
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来源期刊
Journal of Informetrics
Journal of Informetrics Social Sciences-Library and Information Sciences
CiteScore
6.40
自引率
16.20%
发文量
95
期刊介绍: Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.
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