科学领域合作研究小组的重复引用日益占主导地位

IF 3.5 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics Pub Date : 2025-09-03 DOI:10.1016/j.joi.2025.101723

Xifeng Gu, An Zeng

{"title":"科学领域合作研究小组的重复引用日益占主导地位","authors":"Xifeng Gu, An Zeng","doi":"10.1016/j.joi.2025.101723","DOIUrl":null,"url":null,"abstract":"<div><div>Co-authorship has become more common, yet most studies focus on paper-to-paper citation patterns, overlooking the role of group collaborations. Our study explores how research group structures influence citation patterns, using a Co-Authorship Citation Network (CACN) based on the SciSciNet dataset, which includes 134 million publications and over 1.5 billion citation links. As time progresses, repeated citations within groups become more pronounced, with a 30% higher rate of repeated citations in 2000 compared to 1950. Disruptive papers are cited repeatedly by fewer groups, while impactful papers attract citations from more groups. Additionally, fields like Physics and Geology show higher rates of repeated citations, while Political Science and Sociology exhibit broader citation behaviors. This research enables researchers, institutions, and publishers to better understand group citation behaviors and improve knowledge dissemination across disciplines.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 4","pages":"Article 101723"},"PeriodicalIF":3.5000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The increasing dominance of repeated citations from collaborative research groups in science\",\"authors\":\"Xifeng Gu, An Zeng\",\"doi\":\"10.1016/j.joi.2025.101723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Co-authorship has become more common, yet most studies focus on paper-to-paper citation patterns, overlooking the role of group collaborations. Our study explores how research group structures influence citation patterns, using a Co-Authorship Citation Network (CACN) based on the SciSciNet dataset, which includes 134 million publications and over 1.5 billion citation links. As time progresses, repeated citations within groups become more pronounced, with a 30% higher rate of repeated citations in 2000 compared to 1950. Disruptive papers are cited repeatedly by fewer groups, while impactful papers attract citations from more groups. Additionally, fields like Physics and Geology show higher rates of repeated citations, while Political Science and Sociology exhibit broader citation behaviors. This research enables researchers, institutions, and publishers to better understand group citation behaviors and improve knowledge dissemination across disciplines.</div></div>\",\"PeriodicalId\":48662,\"journal\":{\"name\":\"Journal of Informetrics\",\"volume\":\"19 4\",\"pages\":\"Article 101723\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-09-03\",\"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/S1751157725000860\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Informetrics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751157725000860","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

摘要

合作撰写已经变得越来越普遍，但大多数研究都集中在论文之间的引用模式上，忽视了团队合作的作用。我们的研究探讨了研究小组结构如何影响引文模式，使用了基于sciiscinet数据集的共同作者引文网络（CACN），该数据集包括1.34亿份出版物和超过15亿个引文链接。随着时间的推移，组内重复引用变得更加明显，2000年的重复引用率比1950年高出30%。颠覆性的论文被少数群体反复引用，而有影响力的论文则吸引更多群体的引用。此外，物理学和地质学等领域的重复引用率较高，而政治学和社会学则表现出更广泛的引用行为。该研究使研究人员、机构和出版商能够更好地了解群体引用行为，并改善跨学科的知识传播。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The increasing dominance of repeated citations from collaborative research groups in science

Co-authorship has become more common, yet most studies focus on paper-to-paper citation patterns, overlooking the role of group collaborations. Our study explores how research group structures influence citation patterns, using a Co-Authorship Citation Network (CACN) based on the SciSciNet dataset, which includes 134 million publications and over 1.5 billion citation links. As time progresses, repeated citations within groups become more pronounced, with a 30% higher rate of repeated citations in 2000 compared to 1950. Disruptive papers are cited repeatedly by fewer groups, while impactful papers attract citations from more groups. Additionally, fields like Physics and Geology show higher rates of repeated citations, while Political Science and Sociology exhibit broader citation behaviors. This research enables researchers, institutions, and publishers to better understand group citation behaviors and improve knowledge dissemination across disciplines.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Informetrics Social Sciences-Library and Information Sciences

CiteScore

6.40

自引率

16.20%

发文量

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.