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Most cited papers in Expert finding and Q&A systems

What are the most cited papers in Expert finding and Q&A systems?

The most cited paper in Expert finding and Q&A systems is "Cumulated gain-based evaluation of IR techniques" (Kalervo Järvelin, Jaana Kekäläinen, 2002), with 4,810 citations. Next come "ArnetMiner" (2,177) and "Models in information behaviour research" (2,092).

Showing 50 of 100 papers. Every paper with more than 313 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Cumulated gain-based evaluation of IR techniques Kalervo Järvelin, Jaana Kekäläinen · ACM Transactions on Information Systems Oct 2002 4,810
2 ArnetMiner Jie Tang, Jing Zhang, Limin Yao et al. Conference paper 24 Aug 2008 2,177
3 Models in information behaviour research T. D. Wilson · Journal of Documentation Aug 1999 2,092
4 Learning to rank for information retrieval Tie‐Yan Liu Conference paper 19 Jul 2010 1,949
5 Consensus measurement in Delphi studies Heiko A. von der Gracht · Technological Forecasting and Social Change 10 May 2012 1,851
6 Collaborative Deep Learning for Recommender Systems Hao Wang, Naiyan Wang, Dit‐Yan Yeung Conference paper 7 Aug 2015 1,668
7 Accurately interpreting clickthrough data as implicit feedback Thorsten Joachims, Laura A. Granka, Bing Pan et al. Conference paper 15 Aug 2005 1,409
8 Crowdsourcing systems on the World-Wide Web AnHai Doan, Raghu Ramakrishnan, Alon Y. Halevy · Communications of the ACM 22 Mar 2011 1,356
9 Recommendation systems: Principles, methods and evaluation Folasade Olubusola Isinkaye, Yetunde O. Folajimi, Bolanle Adefowoke Ojokoh · Egyptian Informatics Journal Open access 20 Aug 2015 1,325
10 Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval Stephen E. Robertson, Steve Walker 1994 1,164
11 Exploiting geographical influence for collaborative point-of-interest recommendation Mao Ye, Peifeng Yin, Wang-Chien Lee et al. Conference paper 24 Jul 2011 1,121
12 Improving web search ranking by incorporating user behavior information Eugene Agichtein, Eric Brill, Susan Dumais Conference paper 6 Aug 2006 1,051
13 Fast Matrix Factorization for Online Recommendation with Implicit Feedback Xiangnan He, Hanwang Zhang, Min‐Yen Kan et al. Conference paper 7 Jul 2016 1,040
14 The relationship between Recall and Precision Michael K. Buckland, Fredric C. Gey · Journal of the American Society for Information Science Open access 1994 975
15 Developing a Test Collection for the Evaluation of Integrated Search Marianne Lykke, Birger Larsen, Haakon Lund et al. · Lecture notes in computer science Conference paperOpen access 2010 975
16 Novelty and diversity in information retrieval evaluation Charles L. A. Clarke, Maheedhar Kolla, Gordon V. Cormack et al. Conference paper 20 Jul 2008 964
17 A probabilistic model of information retrieval: development and comparative experiments Karen Spärck Jones, Steve Walker, Stephen E. Robertson · Information Processing & Management Nov 2000 949
18 Understanding user goals in web search Daniel E. Rose, Danny Levinson Conference paper 17 May 2004 943
19 A BEHAVIOURAL APPROACH TO INFORMATION RETRIEVAL SYSTEM DESIGN David J. Ellis · Journal of Documentation Mar 1989 899
20 Research-paper recommender systems: a literature survey Joeran Beel, Béla Gipp, Stefan Langer et al. · International Journal on Digital Libraries Open access 25 Jul 2015 842
21 Collaborative Filtering beyond the User-Item Matrix Yue Shi, Martha Moon Larson, Alan Hanjalić · ACM Computing Surveys May 2014 819
22 Expertise networks in online communities Jun Zhang, Mark Steven Ackerman, Lada A. Adamic Conference paper 8 May 2007 800
23 Model-based feedback in the language modeling approach to information retrieval ChengXiang Zhai, John Lafferty Conference paper 5 Oct 2001 800
24 Knowledge sharing and yahoo answers Lada A. Adamic, Jun Zhang, Eytan Bakshy et al. Conference paper 21 Apr 2008 738
25 Finding a team of experts in social networks Theodoros Lappas, Kun Liu, Evimaria Terzi Conference paper 28 Jun 2009 708
26 Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search Thorsten Joachims, Laura A. Granka, Bing Pan et al. · ACM Transactions on Information Systems Apr 2007 685
27 Online data collection in academic research: advantages and limitations Samúel Lefever, Michael Dal, Ásrún Matthíasdóttir · British Journal of Educational Technology 16 Jun 2006 657
28 Web search behavior of Internet experts and newbies Christoph Hölscher, Gerhard Strube · Computer Networks Jun 2000 649
29 Exploratory Search: Beyond the Query-Response Paradigm Ryen W. White, Resa A. Roth · Synthesis lectures on information concepts, retrieval, and services 2009 636
30 Rank-biased precision for measurement of retrieval effectiveness Alistair Moffat, Justin Zobel · ACM Transactions on Information Systems Dec 2008 633
31 Reviewer bias in single- versus double-blind peer review Andrew Tomkins, Min Zhang, William D. Heavlin · Proceedings of the National Academy of Sciences Open access 14 Nov 2017 625
32 What are developers talking about? An analysis of topics and trends in Stack Overflow Anton Barua, Stephen W. Thomas, Ahmed E. Hassan · Empirical Software Engineering 31 Oct 2012 622
33 GeoMF Defu Lian, Cong Zhao, Xing Xie et al. Conference paper 22 Aug 2014 618
34 What do people ask their social networks, and why? Meredith Ringel Morris, Jaime B. Teevan, Katrina Panovich Conference paper 10 Apr 2010 607
35 A model of information practices in accounts of everyday‐life information seeking Pamela J. McKenzie · Journal of Documentation Feb 2003 605
36 A new user similarity model to improve the accuracy of collaborative filtering Haifeng Liu, Zheng Hu, Ahmad Umair Mian et al. · Knowledge-Based Systems Open access 21 Nov 2013 605
37 How reliable are the results of large-scale information retrieval experiments? Justin Zobel Conference paperOpen access Aug 1998 579
38 Evaluation of an inference network-based retrieval model Howard R. Turtle, W. Bruce Croft · ACM Transactions on Information Systems Open access Jul 1991 575
39 Recency-sensitive retrieval processes in long-term free recall Robert A. Bjork, William Barclay Whitten · Cognitive Psychology Apr 1974 571
40 Consensus reaching in social network group decision making: Research paradigms and challenges Yucheng Dong, Quanbo Zha, Hengjie Zhang et al. · Knowledge-Based Systems Open access 6 Jul 2018 565
41 Formal models for expert finding in enterprise corpora Krisztian Balog, Leif A. Azzopardi, Maarten de Rijke Conference paper 6 Aug 2006 558
42 Design lessons from the fastest q&a site in the west Lena Mamykina, Bella Manoim, Manas Mittal et al. Conference paper 7 May 2011 558
43 A New Chatbot for Customer Service on Social Media Anbang Xu, Zhe Liu, Yufan Guo et al. Conference paper 2 May 2017 551
44 Eliciting Knowledge from Experts: A Methodological Analysis Robert R. Hoffman, N. R. Shadbolt, A. Mike Burton et al. · Organizational Behavior and Human Decision Processes May 1995 537
45 Knowledge management technology A. D. Marwick · IBM Systems Journal 2001 535
46 Modelling the information seeking patterns of engineers and research scientists in an industrial environment David J. Ellis, Merete Haugan · Journal of Documentation Oct 1997 512
47 Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the Literature Gali Halevi, Henk F. Moed, Judit Bar‐Ilan · Journal of Informetrics 30 Jun 2017 493
48 The concept of relevance in IR Pia Borlund · Journal of the American Society for Information Science and Technology Open access 7 May 2003 480
49 Make new friends, but keep the old Jilin Chen, Werner Geyer, Casey Dugan et al. Conference paper 4 Apr 2009 453
50 Finding similar questions in large question and answer archives Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee Conference paper 31 Oct 2005 438

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.