James E. Pitkow
- Information Systems top 0.2%
- Web Data Mining and Analysis 16
- Web visibility and informetrics 6
- Information Retrieval and Search Behavior 5
- Recommender Systems and Techniques 5
- Human-Computer Interaction top 1%
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- Peer-to-Peer Network Technologies 3
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- Complex Network Analysis Techniques 4
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- Advanced Text Analysis Techniques 4
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- Data Visualization and Analytics 4
- Co-authors
- Peter PirolliColleen M. KehoeEd H.Mimi ReckerBernardo A. HubermanRajan M. LukoseRamana RaoKim Chen
- Partner nations
- United StatesNew ZealandCanada
In The Last Decade
James E. Pitkow
31 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Information Systems 2.0k
- Information Systems and Management 425
- Human-Computer Interaction 315
- Computer Networks and Communications 898
- Statistical and Nonlinear Physics 471
Countries citing papers authored by James E. Pitkow
This map shows the geographic impact of James E. Pitkow'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 James E. Pitkow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Pitkow more than expected).
Fields of papers citing papers by James E. Pitkow
This network shows the impact of papers produced by James E. Pitkow. 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 James E. Pitkow. The network helps show where James E. Pitkow may publish in the future.
Co-authorship network
The 21 scholars most cited alongside James E. Pitkow, 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 | 2002 | 2 | |
| 2 | 2002 | 217 | |
| 3 | 2000 | 130 | |
| 4 | 2000 | 40 | |
| 5 | Mining longest repeating subsequences to predict world wide web surfing | 1999 | 200 |
| 6 | 1999 | 119 | |
| 7 | 1999 | 113 | |
| 8 | 1998 | 475 | |
| 9 | In Search of: Reliable Usage Data on the World Wide Web | 1997 | 2 |
| 10 | Surveying the Territory: GVU's Five WWW User Surveys | 1997 | 92 |
| 11 | Surveying the Territory. | 1996 | 3 |
| 12 | 1996 | 258 | |
| 13 | 1995 | 20 | |
| 14 | Characterizing browsing strategies in the World-Wide webbreakdown → | 1995 | 617 |
| 15 | 1995 | 2 | |
| 16 | Characterizing Browsing Behaviors on the World-Wide Web | 1995 | 98 |
| 17 | A Simple Yet Robust Caching Algorithm Based on Dynamic Access Patterns | 1994 | 81 |
| 18 | Integrating Bottom-Up and Top-Down Analysis for Intelligent Hypertext | 1994 | 7 |
| 19 | WEBVIZ: A Tool for World Wide Web Access Log Analysis | 1994 | 44 |
| 20 | 1994 | 9 |
About James E. Pitkow
James E. Pitkow is a scholar working on Information Systems, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 31 papers that have together received 3.6k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (16 papers), Web visibility and informetrics (6 papers), Information Retrieval and Search Behavior (5 papers), Recommender Systems and Techniques (5 papers), Advanced Text Analysis Techniques (4 papers), Complex Network Analysis Techniques (4 papers), Data Visualization and Analytics (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Information Systems (2.0k citations), Information Systems and Management (425 citations) and Human-Computer Interaction (315 citations). James E. Pitkow has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Peter Pirolli, Colleen M. Kehoe, Ed H., Mimi Recker, Bernardo A. Huberman, Rajan M. Lukose, Ramana Rao, Kim Chen, Rich Gossweiler and Stuart K. Card. Their work appears in journals such as World Wide Web, Communications of the ACM, Science, ACM Transactions on Computer-Human Interaction and Medical Entomology and Zoology.
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.