{"title":"The inter-institutional and intra-institutional multi-affiliation authorships in the scientific papers produced by the well-ranked universities","authors":"Chi-shiou Lin , Mu-hsuan Huang , Dar-zen Chen","doi":"10.1016/j.joi.2024.101635","DOIUrl":null,"url":null,"abstract":"<div><div>The phenomenon of multi-affiliation in scientific authorship has increasingly garnered attention in scholarly communication. This study examines the extent and implications of multi-affiliation, distinguishing between intra-institutional and inter-institutional multi-affiliations, including their subtypes based on national and international affiliations. Utilizing data from the Web of Science, the study analyzes scientific papers from well-ranked global universities over a decade (2013–2022). The results indicate a significant prevalence of multi-affiliation, with 22.54 % of authorships and over half of the papers exhibiting at least one instance of multi-affiliation. The study finds notable variations in multi-affiliation trends across countries and subject fields. The findings raise critical questions about the impact of multi-affiliation on research evaluation and university rankings, suggesting a need for refined bibliometric measures and author guidance on affiliations to account for this growing trend.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 1","pages":"Article 101635"},"PeriodicalIF":3.4000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Informetrics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751157724001470","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The phenomenon of multi-affiliation in scientific authorship has increasingly garnered attention in scholarly communication. This study examines the extent and implications of multi-affiliation, distinguishing between intra-institutional and inter-institutional multi-affiliations, including their subtypes based on national and international affiliations. Utilizing data from the Web of Science, the study analyzes scientific papers from well-ranked global universities over a decade (2013–2022). The results indicate a significant prevalence of multi-affiliation, with 22.54 % of authorships and over half of the papers exhibiting at least one instance of multi-affiliation. The study finds notable variations in multi-affiliation trends across countries and subject fields. The findings raise critical questions about the impact of multi-affiliation on research evaluation and university rankings, suggesting a need for refined bibliometric measures and author guidance on affiliations to account for this growing trend.
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.