Most cited papers in Web Data Mining and Analysis
What are the most cited papers in Web Data Mining and Analysis?
The most cited paper in Web Data Mining and Analysis is "The anatomy of a large-scale hypertextual Web search engine" (Sergey Brin, Lawrence M. Page, 1998), with 16,170 citations. Next come "Authoritative sources in a hyperlinked environment" (9,110) and "An algorithm for suffix stripping" (8,165).
Showing 50 of 99 papers. Every paper with more than 767 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | The anatomy of a large-scale hypertextual Web search engine Sergey Brin, Lawrence M. Page · Computer Networks and ISDN Systems | Apr 1998 | 16,170 |
| 2 | Authoritative sources in a hyperlinked environment Jon Kleinberg · Journal of the ACM | Sep 1999 | 9,110 |
| 3 | An algorithm for suffix stripping Martin Porter · Data Technologies and Applications | Mar 1980 | 8,165 |
| 4 | Mining and summarizing customer reviews Minqing Hu, Bing Liu | 22 Aug 2004 | 7,770 |
| 5 | Probabilistic topic models David M. Blei · Communications of the ACM | 23 Mar 2012 | 5,645 |
| 6 | GroupLens Paul Resnick, Neophytos Iacovou, Mitesh Suchak et al. | 1994 | 5,058 |
| 7 | DBpedia: A Nucleus for a Web of Open Data Sören Auer, Christian Bizer, Georgi Kobilarov et al. · Lecture notes in computer science | 2007 | 4,804 |
| 8 | Web caching and Zipf-like distributions: evidence and implications Lee Breslau, Pei Cao, Fan Li et al. | 1999 | 3,533 |
| 9 | Graph structure in the Web Andrei Broder, Ravi Kumar, Farzin Maghoul et al. · Computer Networks | Jun 2000 | 2,801 |
| 10 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng, Daya Guo, Duyu Tang et al. | 2020 | 2,678 |
| 11 | Rete: A fast algorithm for the many pattern/many object pattern match problem Charles L. Forgy · Artificial Intelligence | Sep 1982 | 2,633 |
| 12 | DBpedia - A crystallization point for the Web of Data Christian Bizer, Jens Lehmann, Georgi Kobilarov et al. · Journal of Web Semantics | 17 Jul 2009 | 2,171 |
| 13 | Web usage mining Jaideep Srivastava, Robert Cooley, Mukund S. Deshpande et al. · ACM SIGKDD Explorations Newsletter | 2000 | 2,112 |
| 14 | The design of browsing and berrypicking techniques for the online search interface Marcia J. Bates · Online Review | May 1989 | 1,766 |
| 15 | TwitterRank Jianshu Weng, Ee‐Peng Lim, Jing Jiang et al. | 4 Feb 2010 | 1,752 |
| 16 | Sentiment Analysis and Subjectivity Liu Bing | 2010 | 1,592 |
| 17 | Knowledge vault Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz et al. | 22 Aug 2014 | 1,571 |
| 18 | Google news personalization Abhinandan Das, Mayur Datar, Ashutosh Garg et al. | 8 May 2007 | 1,542 |
| 19 | A Space-Economical Suffix Tree Construction Algorithm Edward M. McCreight · Journal of the ACM | Apr 1976 | 1,522 |
| 20 | Focused crawling: a new approach to topic-specific Web resource discovery Soumen Chakrabarti, Martin van den Berg, Byron Dom · Computer Networks | May 1999 | 1,493 |
| 21 | Data Preparation for Mining World Wide Web Browsing Patterns Robert Cooley, Bamshad Mobasher, Jaideep Srivastava · Knowledge and Information Systems | Feb 1999 | 1,467 |
| 22 | Web mining research Raymond Kosala, Hendrik Blockeel · ACM SIGKDD Explorations Newsletter | Jun 2000 | 1,439 |
| 23 | Scatter/Gather Douglass R. Cutting, David R. Karger, Jan Ole Pedersen et al. · ACM SIGIR Forum | 2 Aug 2017 | 1,424 |
| 24 | A comparison of string distance metrics for name-matching tasks William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg | 9 Aug 2003 | 1,371 |
| 25 | Syntactic clustering of the Web Andrei Broder, S. Glassman, Mark S. Manasse et al. · Computer Networks and ISDN Systems | Sep 1997 | 1,360 |
| 26 | Crowdsourcing systems on the World-Wide Web AnHai Doan, Raghu Ramakrishnan, Alon Y. Halevy · Communications of the ACM | 22 Mar 2011 | 1,356 |
| 27 | A survey on opinion mining and sentiment analysis: Tasks, approaches and applications Kumar Ravi, Vadlamani Ravi · Knowledge-Based Systems | 2 Jul 2015 | 1,321 |
| 28 | A Framework for Collaborative, Content-Based and Demographic Filtering Michael J. Pazzani · Artificial Intelligence Review | Dec 1999 | 1,319 |
| 29 | Open information extraction from the web Michele Banko, Michael Cafarella, Stephen Soderland et al. | 6 Jan 2007 | 1,317 |
| 30 | Automating the Construction of Internet Portals with Machine Learning Andrew Kachites McCallum, Kamal Nigam, Jason D. M. Rennie et al. · Information Retrieval | Jul 2000 | 1,302 |
| 31 | Mining opinion features in customer reviews Minqing Hu, Bing Liu | 25 Jul 2004 | 1,273 |
| 32 | Self-adjusting binary search trees Daniel D. Sleator, Robert Endre Tarjan · Journal of the ACM | Jul 1985 | 1,249 |
| 33 | The webgraph framework I Paolo Boldi, Sebastiano Vigna | 17 May 2004 | 1,222 |
| 34 | Comparing Twitter and Traditional Media Using Topic Models Wayne Xin Zhao, Jing Jiang, Jianshu Weng et al. · Lecture notes in computer science | 2011 | 1,220 |
| 35 | Description of interest regions with local binary patterns Marko Heikkilä, Matti Pietikäinen, Cordelia Schmid · Pattern Recognition | 20 Aug 2008 | 1,217 |
| 36 | Skip lists: a probabilistic alternative to balanced trees William White Tison Pugh · Communications of the ACM | Jun 1990 | 1,175 |
| 37 | Web mining: information and pattern discovery on the World Wide Web Robert Cooley, Bamshad Mobasher, Jaideep Srivastava | 22 Nov 2002 | 1,168 |
| 38 | The Enron Corpus: A New Dataset for Email Classification Research Bryan Klimt, Yiming Yang · Lecture notes in computer science | 2004 | 1,166 |
| 39 | Analysis of a very large web search engine query log Craig D. Silverstein, Hannes Marais, Monika Rauch Henzinger et al. · ACM SIGIR Forum | Sep 1999 | 1,164 |
| 40 | DBpedia spotlight Pablo N. Mendes, Max Jakob, Andrés García-Silva et al. | 7 Sep 2011 | 1,152 |
| 41 | A survey of heterogeneous information network analysis Chuan Shi, Yitong Li, Jiawei Zhang et al. · IEEE Transactions on Knowledge and Data Engineering | 8 Aug 2016 | 1,149 |
| 42 | Identifying Relations for Open Information Extraction Anthony Fader, Stephen Soderland, Oren Etzioni | 27 Jul 2011 | 1,147 |
| 43 | A method for taxonomy development and its application in information systems Robert C. Nickerson, Upkar Varshney, Jan Muntermann · European Journal of Information Systems | 19 Jun 2012 | 1,143 |
| 44 | Unsupervised named-entity extraction from the Web: An experimental study Oren Etzioni, Michael Cafarella, Doug Downey et al. · Artificial Intelligence | 15 Apr 2005 | 1,133 |
| 45 | Systematic software development using VDM Sunil Vadera · Data Processing | Jul 1986 | 1,126 |
| 46 | Winnowing Saul Schleimer, Daniel Shawcross Wilkerson, Alex Aiken | 9 Jun 2003 | 1,119 |
| 47 | A Survey of Automatic Query Expansion in Information Retrieval Claudio Carpineto, Giovanni Romano · ACM Computing Surveys | 2012 | 1,112 |
| 48 | Inverted files for text search engines Justin Zobel, Alistair Moffat · ACM Computing Surveys | 25 Jul 2006 | 1,081 |
| 49 | Topic-sensitive pagerank: A context-sensitive ranking algorithm for web search Taher H. Haveliwala · IEEE Transactions on Knowledge and Data Engineering | Jul 2003 | 1,076 |
| 50 | Predicting clicks Matthew Richardson, Ewa Dominowska, Robert J. Ragno | 8 May 2007 | 1,074 |
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.