D.M. Pennock
Impact in
- Information Systems top 5%
- Web Data Mining and Analysis
- Web visibility and informetrics
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
-
- Complex Network Analysis Techniques
Papers in
-
- Web Data Mining and Analysis 2
- Data Mining Algorithms and Applications 1
- Recommender Systems and Techniques 1
- Research Data Management Practices 1
-
- Network Traffic and Congestion Control 2
- Co-authors
- C. Lee Giles (5 shared papers)Sandra Lawrence (4 shared papers)Gary William Flake (3 shared papers)Andries Kruger (2 shared papers)Eric Glover (1 shared paper)Robert Krovetz (1 shared paper)Finn Årup Nielsen (1 shared paper)Frans Coetzee (1 shared paper)
- Journals
- Computer (2 papers)IEEE Intelligent Systems (1 paper)ScholarlyCommons (University of Pennsylvania) (1 paper)
- Partner nations
- United StatesSouth AfricaDenmark
In The Last Decade
D.M. Pennock
7 papers receiving 310 citations
Peers
Comparison fields: 5 of 69
- Information Systems 191
- Statistical and Nonlinear Physics 69
- Computer Networks and Communications 90
- Management Science and Operations Research 38
- Artificial Intelligence 97
Countries citing papers authored by D.M. Pennock
This map shows the geographic impact of D.M. Pennock'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 D.M. Pennock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.M. Pennock more than expected).
Fields of papers citing papers by D.M. Pennock
This network shows the impact of papers produced by D.M. Pennock. 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 D.M. Pennock. The network helps show where D.M. Pennock may publish in the future.
Co-authors
The 14 scholars most cited alongside D.M. Pennock, 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 | 2001 | 162 | |
| 2 | 2002 | 72 | |
| 3 | 2004 | 38 | |
| 4 | 2004 | 30 | |
| 5 | 2004 | 27 | |
| 6 | 2005 | 19 | |
| 7 | 2004 | 15 |
About D.M. Pennock
D.M. Pennock is a scholar working on Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 7 papers that have together received 363 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (2 papers), Complex Network Analysis Techniques (2 papers), Network Traffic and Congestion Control (2 papers), Data Mining Algorithms and Applications (1 paper), Recommender Systems and Techniques (1 paper), Semantic Web and Ontologies (1 paper), Research Data Management Practices (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Information Systems (191 citations), Statistical and Nonlinear Physics (69 citations), Computer Networks and Communications (90 citations), Management Science and Operations Research (38 citations) and Artificial Intelligence (97 citations). D.M. Pennock has collaborated with scholars based in United States, South Africa and Denmark. Frequent co-authors include C. Lee Giles, Sandra Lawrence, Gary William Flake, Andries Kruger, Eric Glover, Robert Krovetz, Finn Årup Nielsen, Frans Coetzee, Lyle Ungar and Eric J. Glover. Their work appears in journals such as Computer, IEEE Intelligent Systems and ScholarlyCommons (University of Pennsylvania).
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.