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.
| # | 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 | 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 | 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 | 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 | 19 Feb 2015 | 3,697 |
| 9 | Journal of Statistical Software Jan de Leeuw · Wiley Interdisciplinary Reviews Computational Statistics | 30 Jun 2009 | 3,609 |
| 10 | A survey of approaches to automatic schema matching Erhard Rahm, Philip A. Bernstein · The VLDB Journal | 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 | Sep 1995 | 3,276 |
| 12 | Big data analytics in healthcare: promise and potential Wullianallur Raghupathi, Viju Raghupathi · Health Information Science and Systems | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | Nov 1996 | 1,938 |
| 29 | Sustainable data analysis with Snakemake Felix Mölder, Kim Philipp Jablonski, Brice Letcher et al. · F1000Research | 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 | 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. | 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 | 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 | 13 Feb 2013 | 1,564 |
| 40 | Design challenges and misconceptions in named entity recognition Lev Ratinov, Dan Roth | 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 | 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 | 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 | 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 | 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 | 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.