Inter- and intra-domain knowledge flows: Examining their relationship with impact at the field level over time

IF 3.4 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Informetrics Pub Date : 2024-11-20 DOI:10.1016/j.joi.2024.101614
Giovanni Abramo , Ciriaco Andrea D'Angelo
{"title":"Inter- and intra-domain knowledge flows: Examining their relationship with impact at the field level over time","authors":"Giovanni Abramo ,&nbsp;Ciriaco Andrea D'Angelo","doi":"10.1016/j.joi.2024.101614","DOIUrl":null,"url":null,"abstract":"<div><div>Just as innovations often succeed in fields beyond their original domains, this study explores whether the same applies to scientific discoveries. We investigate the flow of knowledge across scientific disciplines by analyzing connections between 2015 cited publications indexed in the Web of Science and their citing counterparts. Specifically, we measure the rates of knowledge dissemination within and across different fields. Our study addresses key questions about disparities between inter- and intra-domain dissemination rates, the relationship between dissemination types and scholarly impact, and the evolution of these patterns over time. These findings enhance our understanding of knowledge flows and provide practical insights with significant implications for evaluative bibliometrics.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 1","pages":"Article 101614"},"PeriodicalIF":3.4000,"publicationDate":"2024-11-20","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/S1751157724001263","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

Just as innovations often succeed in fields beyond their original domains, this study explores whether the same applies to scientific discoveries. We investigate the flow of knowledge across scientific disciplines by analyzing connections between 2015 cited publications indexed in the Web of Science and their citing counterparts. Specifically, we measure the rates of knowledge dissemination within and across different fields. Our study addresses key questions about disparities between inter- and intra-domain dissemination rates, the relationship between dissemination types and scholarly impact, and the evolution of these patterns over time. These findings enhance our understanding of knowledge flows and provide practical insights with significant implications for evaluative bibliometrics.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
领域间和领域内的知识流动:考察知识流动与实地影响之间的长期关系
正如创新往往在其原有领域之外的领域取得成功一样,本研究探讨了科学发现是否也是如此。我们通过分析被《科学网》(Web of Science)收录的 2015 篇被引用的出版物与其被引用的同类出版物之间的联系,来研究知识在科学学科间的流动。具体来说,我们测量了知识在不同领域内和不同领域间的传播率。我们的研究解决了以下关键问题:领域间和领域内传播率的差异、传播类型与学术影响力之间的关系,以及这些模式随时间的演变。这些发现加深了我们对知识流动的理解,并提供了对文献计量学评价具有重要意义的实用见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
A comprehensive comparative analysis of publication monopoly phenomenon in scientific journals Leveraging patent classification based on deep learning: The case study on smart cities and industrial Internet of Things Citation counts and inclusion of references in seven free-access scholarly databases: A comparative analysis Linkages among science, technology, and industry on the basis of main path analysis Gender differences in dropout rate: From field, career status, and generation perspectives
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1