{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T08:38:59Z","timestamp":1770367139311,"version":"3.49.0"},"reference-count":36,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T00:00:00Z","timestamp":1760572800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,2,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Prior Information Retrieval (IR) research synthesizes progress from individual studies, yet academia-industry collaboration dynamics remain unexplored. This study investigates: (1) productivity patterns and venues, (2) citations-downloads relationships, (3) topic evolution, and (4) collaboration trends.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>We perform an analysis of 53,471 ACM IR papers (2000\u20132018) using bibliometrics and DistilBERT topic modeling.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>We find that industry-involved papers preferred WWW\/CIKM venues; collaborations dominated RecSys\/CSCW. We see that academia-industry collaborations achieved the highest download-to-citation conversion rates. Academia focused on algorithms; industry on applications; collaborations bridged both with rising human-centered themes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Research implications<\/jats:title>\n                    <jats:p>This is a pioneering large-scale bibliometrics revealing collaboration\u2019s impact on IR knowledge evolution and provides a methodological framework for cross-sector analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical implications<\/jats:title>\n                    <jats:p>The paper identifies optimal venues (RecSys\/CSCW) for partnerships and guides joint initiatives (shared datasets, grants) to bridge academia-industry divides and enhance research translation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>This is the first large-scale bibliometric analysis of IR academia-industry collaboration. The paper finds many novel insights, including the fact that collaboration boosts citation efficiency, enables complementary specialization, and drives topic convergence.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2478\/jdis-2025-0051","type":"journal-article","created":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T11:57:50Z","timestamp":1760615870000},"page":"132-154","source":"Crossref","is-referenced-by-count":0,"title":["Understanding teams and productivity in information retrieval research: Academia, industry, and cross-community collaborations"],"prefix":"10.2478","volume":"11","author":[{"given":"Jiaqi","family":"Lei","sequence":"first","affiliation":[{"name":"Institute of Education, Tsinghua University , Tsinghua Beijing , China"},{"name":"Department of Information Management, Peking University , Peking Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Information Management, Peking University , Peking Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Bu","sequence":"additional","affiliation":[{"name":"Department of Information Management, Peking University , Peking Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiqun","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Library and Information Studies, The University of Oklahoma , Norman , Oklahoma , U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2025,10,16]]},"reference":[{"key":"2026020518361852105_j_jdis-0025-0051_ref_001","doi-asserted-by":"crossref","unstructured":"Ahmed, N., Wahed, M., & Thompson, N. 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