Robert Cooley
- Information Systems top 0.05%
- Web Data Mining and Analysis 8
- Data Mining Algorithms and Applications 8
- Recommender Systems and Techniques 5
- Signal Processing top 1%
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- Peer-to-Peer Network Technologies 2
- Caching and Content Delivery 2
- Artificial Intelligence top 1%
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- Rough Sets and Fuzzy Logic 2
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- Video Analysis and Summarization 1
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- Multimedia Communication and Technology 1
- Co-authors
- Jaideep SrivastavaBamshad MobasherMukund DeshpandePang‐Ning TanChris CliftonJason D. M. RennieJoseph A. KonstanBrian P. Bailey
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)ACM Transactions on Internet Technology (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Robert Cooley
11 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Information Systems 3.3k
- Signal Processing 705
- Computer Science Applications 249
- Computer Networks and Communications 995
- Artificial Intelligence 1.2k
Countries citing papers authored by Robert Cooley
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
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
The 8 scholars most cited alongside Robert Cooley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 72 | |
| 2 | 2003 | 31 | |
| 3 | 2003 | 123 | |
| 4 | 2003 | 45 | |
| 5 | 2002 | 288 | |
| 6 | Web mining: information and pattern discovery on the World Wide Webbreakdown → | 2002 | 649 |
| 7 | Web usage mining: discovery and application of interesting patterns from web data | 2000 | 124 |
| 8 | Web usage miningbreakdown → | 2000 | 1210 |
| 9 | Automatic personalization based on Web usage miningbreakdown → | 2000 | 735 |
| 10 | Data Preparation for Mining World Wide Web Browsing Patternsbreakdown → | 1999 | 853 |
| 11 | 1998 | 29 |
About Robert Cooley
Robert Cooley is a scholar working on Information Systems, Computer Networks and Communications and Computational Theory and Mathematics, having authored 11 papers that have together received 4.2k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (8 papers), Data Mining Algorithms and Applications (8 papers), Recommender Systems and Techniques (5 papers), Peer-to-Peer Network Technologies (2 papers), Rough Sets and Fuzzy Logic (2 papers), Caching and Content Delivery (2 papers), Video Analysis and Summarization (1 paper) and Multimedia Communication and Technology (1 paper). The work is most often cited by research in Information Systems (3.3k citations), Signal Processing (705 citations) and Computer Science Applications (249 citations). Robert Cooley has collaborated with scholars based in United States. Frequent co-authors include Jaideep Srivastava, Bamshad Mobasher, Mukund Deshpande, Pang‐Ning Tan, Chris Clifton, Jason D. M. Rennie, Joseph A. Konstan and Brian P. Bailey. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Internet Technology, Knowledge and Information Systems, INFORMS journal on computing and Communications of the ACM.
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.