Robert Cooley

7.4k total citations · 4 hit papers
11 papers, 4.2k citations indexed

About

Robert Cooley is a scholar working on Information Systems, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Robert Cooley has authored 11 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 4 papers in Computer Networks and Communications and 2 papers in Computational Theory and Mathematics. Recurrent topics in Robert Cooley's work include Web Data Mining and Analysis (8 papers), Data Mining Algorithms and Applications (8 papers) and Recommender Systems and Techniques (5 papers). Robert Cooley is often cited by papers focused on Web Data Mining and Analysis (8 papers), Data Mining Algorithms and Applications (8 papers) and Recommender Systems and Techniques (5 papers). Robert Cooley collaborates with scholars based in United States. Robert Cooley's co-authors include Jaideep Srivastava, Bamshad Mobasher, Mukund Deshpande, Pang‐Ning Tan, Jason D. M. Rennie, Chris Clifton, Joseph A. Konstan and Brian P. Bailey and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and Knowledge and Information Systems.

In The Last Decade

Robert Cooley

11 papers receiving 3.4k citations

Hit Papers

Web usage mining 1999 2026 2008 2017 2000 1999 2000 2002 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Cooley United States 11 3.3k 1.2k 995 705 346 11 4.2k
Mukund Deshpande United States 8 2.5k 0.8× 1.0k 0.9× 681 0.7× 398 0.6× 214 0.6× 23 3.1k
Brian Oki United States 10 2.2k 0.6× 1.1k 0.9× 1.3k 1.3× 415 0.6× 375 1.1× 14 3.4k
Douglas B. Terry United States 17 2.4k 0.7× 1.1k 1.0× 1.6k 1.6× 442 0.6× 442 1.3× 40 3.9k
Georg Lausen Germany 19 2.1k 0.6× 2.4k 2.0× 1.5k 1.5× 605 0.9× 306 0.9× 83 3.7k
Alexander Felfernig Austria 30 2.5k 0.8× 1.9k 1.6× 662 0.7× 241 0.3× 424 1.2× 232 4.2k
Junghoo Cho United States 30 3.3k 1.0× 1.3k 1.1× 1.9k 2.0× 793 1.1× 247 0.7× 67 4.5k
Sean M. McNee United States 13 2.5k 0.7× 1.2k 1.0× 326 0.3× 294 0.4× 312 0.9× 15 3.0k
Antonio Hernando Spain 16 3.0k 0.9× 1.4k 1.2× 600 0.6× 232 0.3× 459 1.3× 39 3.6k
Al Borchers United States 7 2.0k 0.6× 794 0.7× 452 0.5× 250 0.4× 367 1.1× 11 2.5k
Marc Najork United States 31 2.8k 0.8× 1.9k 1.6× 1.2k 1.3× 548 0.8× 318 0.9× 110 4.2k

Countries citing papers authored by Robert Cooley

Since Specialization
Citations

This map shows the geographic impact of Robert Cooley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert Cooley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Cooley more than expected).

Fields of papers citing papers by Robert Cooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Cooley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert Cooley. The network helps show where Robert Cooley may publish in the future.

Co-authorship network of co-authors of Robert Cooley

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Cooley. A scholar is included among the top collaborators of Robert Cooley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Cooley. Robert Cooley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Clifton, Chris, Robert Cooley, & Jason D. M. Rennie. (2004). TopCat: data mining for topic identification in a text corpus. IEEE Transactions on Knowledge and Data Engineering. 16(8). 949–964. 72 indexed citations
2.
Srivastava, Jaideep & Robert Cooley. (2003). Web Business Intelligence: Mining the Web for Actionable Knowledge. INFORMS journal on computing. 15(2). 191–207. 31 indexed citations
3.
Mobasher, Bamshad, Robert Cooley, & Jaideep Srivastava. (2003). Creating adaptive Web sites through usage-based clustering of URLs. 19–25. 123 indexed citations
4.
Cooley, Robert. (2003). The use of web structure and content to identify subjectively interesting web usage patterns. ACM Transactions on Internet Technology. 3(2). 93–116. 45 indexed citations
5.
Cooley, Robert, Bamshad Mobasher, & Jaideep Srivastava. (2002). Grouping Web page references into transactions for mining World Wide Web browsing patterns. 2–9. 288 indexed citations
6.
Cooley, Robert, Bamshad Mobasher, & Jaideep Srivastava. (2002). Web mining: information and pattern discovery on the World Wide Web. 558–567. 649 indexed citations breakdown →
7.
Cooley, Robert & Jaideep Srivastava. (2000). Web usage mining: discovery and application of interesting patterns from web data. 124 indexed citations
8.
Srivastava, Jaideep, Robert Cooley, Mukund Deshpande, & Pang‐Ning Tan. (2000). Web usage mining. ACM SIGKDD Explorations Newsletter. 1(2). 12–23. 1210 indexed citations breakdown →
9.
Mobasher, Bamshad, Robert Cooley, & Jaideep Srivastava. (2000). Automatic personalization based on Web usage mining. Communications of the ACM. 43(8). 142–151. 735 indexed citations breakdown →
10.
Cooley, Robert, Bamshad Mobasher, & Jaideep Srivastava. (1999). Data Preparation for Mining World Wide Web Browsing Patterns. Knowledge and Information Systems. 1(1). 5–32. 853 indexed citations breakdown →
11.
Bailey, Brian P., et al.. (1998). Nsync---a toolkit for building interactive multimedia presentations. 257–266. 29 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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