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Understanding teams and productivity in information retrieval research: Academia, industry, and cross-community collaborations Cover

Understanding teams and productivity in information retrieval research: Academia, industry, and cross-community collaborations

Journal of Data and Information Science
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By: Jiaqi Lei,  Liang Hu,  Yi Bu and  Jiqun Liu  
Open Access
|Oct 2025

Authors

Jiaqi Lei

Institute of Education, Tsinghua University, China
Department of Information Management, Peking University, China

Liang Hu

Department of Information Management, Peking University, China

Yi Bu

buyi@pku.edu.cn

Department of Information Management, Peking University, China

Jiqun Liu

jiqunliu@ou.edu

School of Library and Information Studies, The University of Oklahoma, Norman, U.S.A.
DOI: https://doi.org/10.2478/jdis-2025-0051 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Submitted on: Jun 6, 2025
Accepted on: Sep 19, 2025
Published on: Oct 16, 2025
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Information Retrieval,
Bibliometrics,
Productivity,
Research topic,
Scientific collaboration,
Academic-industry collaboration
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2025 Jiaqi Lei, Liang Hu, Yi Bu, Jiqun Liu, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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