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Most cited papers in Data Quality and Management

What are the most cited papers in Data Quality and Management?

The most cited paper in Data Quality and Management is "The REDCap consortium: Building an international community of software platform partners" (Paul A. Harris, Robert J. Taylor, Brenda L. Minor et al., 2019), with 25,189 citations. Next come "k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY" (8,620) and "Business Intelligence and Analytics: From Big Data to Big Impact" (6,224).

Showing 50 of 98 papers. Every paper with more than 758 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 The REDCap consortium: Building an international community of software platform partners Paul A. Harris, Robert J. Taylor, Brenda L. Minor et al. · Journal of Biomedical Informatics Open access 9 May 2019 25,189
2 k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY Latanya Sweeney · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Oct 2002 8,620
3 Business Intelligence and Analytics: From Big Data to Big Impact Hsinchun Chen, Roger H.L. Chiang, Veda C. Storey · MIS Quarterly Dec 2012 6,224
4 The Entity Relationship Model — Toward a Unified View of Data Peter Pin-Shan Chen Book chapter 2002 5,774
5 Beyond Accuracy: What Data Quality Means to Data Consumers Richard Y. Wang, Diane M. Strong · Journal of Management Information Systems Mar 1996 4,615
6 Linked Data - The Story So Far Christian Bizer, Tom Heath, Tim Berners‐Lee · International Journal on Semantic Web and Information Systems Jul 2009 4,582
7 Software Framework for Topic Modelling with Large Corpora R Rehr Uv Rek, Petr Sojka Open access 2010 3,806
8 Learning Entity and Relation Embeddings for Knowledge Graph Completion Yankai Lin, Zhiyuan Liu, Maosong Sun et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 19 Feb 2015 3,697
9 Journal of Statistical Software Jan de Leeuw · Wiley Interdisciplinary Reviews Computational Statistics Open access 30 Jun 2009 3,609
10 A survey of approaches to automatic schema matching Erhard Rahm, Philip A. Bernstein · The VLDB Journal Open access Dec 2001 3,366
11 Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David E. Heckerman, Dan Geiger, David M. Chickering · Machine Learning Open access Sep 1995 3,276
12 Big data analytics in healthcare: promise and potential Wullianallur Raghupathi, Viju Raghupathi · Health Information Science and Systems Open access 7 Feb 2014 3,077
13 Privacy-preserving data mining Rakesh Agrawal, Ramakrishnan Srikant · ACM SIGMOD Record 16 May 2000 2,990
14 A Survey on Knowledge Graphs: Representation, Acquisition, and Applications Shaoxiong Ji, Shirui Pan, Erik Cambria et al. · IEEE Transactions on Neural Networks and Learning Systems Open access 26 Apr 2021 2,918
15 The rise of “big data” on cloud computing: Review and open research issues Mohamed Hashem, Ibrar Yaqoob, Nor Badrul Anuar et al. · Information Systems 10 Aug 2014 2,656
16 Deep learning applications and challenges in big data analytics Maryam Mousaarab Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar et al. · Journal Of Big Data Open access 23 Feb 2015 2,613
17 Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda Yanqing Duan, John Steven Edwards, Yogesh Kumar Dwivedi · International Journal of Information Management Open access 9 Feb 2019 2,586
18 Convolutional 2D Knowledge Graph Embeddings Tim Dettmers, Pasquale Minervini, Pontus Stenetorp et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 25 Apr 2018 2,479
19 A Theory for Record Linkage Ivan P. Fellegi, Alan B. Sunter · Journal of the American Statistical Association Dec 1969 2,443
20 Data mining with big data Xindong Wu, Xingquan Zhu, Gongqing Wu et al. · IEEE Transactions on Knowledge and Data Engineering 26 Jun 2013 2,429
21 An overview of data warehousing and OLAP technology Surajit Chaudhuri, Umeshwar Dayal · ACM SIGMOD Record Mar 1997 2,423
22 This is Not a Boundary Object: Reflections on the Origin of a Concept Susan Leigh Star · Science Technology & Human Values 10 Aug 2010 2,372
23 A Bayesian method for the induction of probabilistic networks from data Gregory F. Cooper, Edward H. Herskovits · Machine Learning Open access Oct 1992 2,353
24 A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation Cyril Goutte, Éric Gaussier · Lecture notes in computer science Conference paper 2005 2,200
25 Mediators in the architecture of future information systems Gio C. M. Wiederhold · Computer Mar 1992 2,174
26 Benefits, Adoption Barriers and Myths of Open Data and Open Government Marijn Janssen, Yannis K. Charalabidis, Anneke Zuiderwijk · Information Systems Management Open access Sep 2012 2,037
27 De-duplication of database search results for systematic reviews in EndNote Wichor Matthijs Bramer, Dean Giustini, Gerdien B. de Jonge et al. · Journal of the Medical Library Association JMLA Open access Jul 2016 1,990
28 The KDD process for extracting useful knowledge from volumes of data Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth · Communications of the ACM Open access Nov 1996 1,938
29 Sustainable data analysis with Snakemake Felix Mölder, Kim Philipp Jablonski, Brice Letcher et al. · F1000Research Open access 19 Apr 2021 1,847
30 Data fusion Jens Bleiholder, Felix Naumann · ACM Computing Surveys 13 Jan 2009 1,842
31 Knowledge Graphs Aidan Hogan, Eva Blomqvist, Michael Cochez et al. · ACM Computing Surveys Open access 2 Jul 2021 1,826
32 The Unreasonable Effectiveness of Data Alon Y. Halevy, Peter Norvig, Fernando M. B. Pereira · IEEE Intelligent Systems Mar 2009 1,820
33 Language Models as Knowledge Bases? Fabio Petroni, Tim Rocktäschel, Sebastian Riedel et al. Conference paperOpen access 2019 1,808
34 The elephant in the room: Predictive performance of PLS models Galit Shmueli, Soumya Ray, Juan Manuel Velasquez Estrada et al. · Journal of Business Research 30 Apr 2016 1,724
35 A Tutorial on Learning with Bayesian Networks David E. Heckerman · Studies in computational intelligence Book chapter 9 Sep 2008 1,717
36 Data quality assessment Leo L. Pipino, Yang W. Lee, Richard Y. Wang · Communications of the ACM Apr 2002 1,672
37 AIMQ: a methodology for information quality assessment Yang W. Lee, Diane M. Strong, Beverly K. Kahn et al. · Information & Management Dec 2002 1,620
38 Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations Yichuan Wang, LeeAnn Kung, Terry Anthony Byrd · Technological Forecasting and Social Change 26 Feb 2016 1,575
39 Data Science and its Relationship to Big Data and Data-Driven Decision Making Foster John Provost, Tom E. Fawcett · Big Data Open access 13 Feb 2013 1,564
40 Design challenges and misconceptions in named entity recognition Lev Ratinov, Dan Roth Conference paperOpen access 2009 1,496
41 Personal Health Records: Definitions, Benefits, and Strategies for Overcoming Barriers to Adoption Paul C. Tang, Joan S. Ash, David Westfall Bates et al. · Journal of the American Medical Informatics Association Open access 15 Dec 2005 1,490
42 In search of an understandable consensus algorithm Diego Ongaro, John K. Ousterhout 19 Jun 2014 1,479
43 Anchoring data quality dimensions in ontological foundations Yair Wand, Richard Y. Wang · Communications of the ACM Open access Nov 1996 1,475
44 An Empirical Investigation of the Factors Affecting Data Warehousing Success1 Barbara H. Wixom, Hugh J. Watson · MIS Quarterly Mar 2001 1,441
45 A comparison of string distance metrics for name-matching tasks William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg 9 Aug 2003 1,371
46 LUBM: A benchmark for OWL knowledge base systems Yuanbo Guo, Zhengxiang Pan, Jeff Heflin · Journal of Web Semantics 13 Jul 2005 1,357
47 Similarity flooding: a versatile graph matching algorithm and its application to schema matching Sergey Melnik, Héctor García-Molina, Erhard Rahm Conference paper 25 Jun 2003 1,354
48 The Benefits Of Health Information Technology: A Review Of The Recent Literature Shows Predominantly Positive Results Melinda Beeuwkes Buntin, Matthew F. Burke, Michael C. Hoaglin et al. · Health Affairs Mar 2011 1,334
49 Weighted voting for replicated data David K. Gifford Conference paperOpen access 1979 1,328
50 Real life, real users, and real needs: a study and analysis of user queries on the web Bernard J. Jim Jansen, Amanda Spink, Tefko Saračević · Information Processing & Management Open access Mar 2000 1,327

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.