David D. Jensen
Impact in
- Artificial Intelligence top 0.2%
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Advanced Graph Neural Networks
- Computer Networks and Communications top 0.5%
- Opportunistic and Delay-Tolerant Networks
- Mobile Ad Hoc Networks
- Caching and Content Delivery
Papers in
-
- Bayesian Modeling and Causal Inference 33
- Imbalanced Data Classification Techniques 9
- Machine Learning and Data Classification 9
- Machine Learning and Algorithms 7
-
- Data Mining Algorithms and Applications 31
- Software Engineering Research 7
- Co-authors
- Jennifer Neville (18 shared papers)Brian J. Gallagher (4 shared papers)Brian Neil Levine (3 shared papers)John R. Burgess (1 shared paper)Michael Hay (9 shared papers)Gerome Miklau (5 shared papers)Tim Oates (7 shared papers)Don Towsley (3 shared papers)
- Journals
- Machine Learning (2 papers)Pattern Recognition Letters (1 paper)Ecology (1 paper)Risk Analysis (1 paper)International Review of the Red Cross (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David D. Jensen
116 papers receiving 6.3k citations
David D. Jensen's Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 3.5k
- Computer Networks and Communications 2.3k
- Statistical and Nonlinear Physics 1.1k
- Information Systems 1.3k
- Signal Processing 474
Countries citing papers authored by David D. Jensen
This map shows the geographic impact of David D. Jensen'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 David D. Jensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David D. Jensen more than expected).
Fields of papers citing papers by David D. Jensen
This network shows the impact of papers produced by David D. Jensen. 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 David D. Jensen. The network helps show where David D. Jensen may publish in the future.
Co-authors
The 25 scholars most cited alongside David D. Jensen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks Hit paper breakdown → | 2006 | 1605 |
| 2 | Resisting structural re-identification in anonymized social networks Hit paper breakdown → | 2008 | 467 |
| 3 | 2002 | 339 | |
| 4 | 1999 | 281 | |
| 5 | 2009 | 275 | |
| 6 | Iterative Classification in Relational Data | 2000 | 262 |
| 7 | 2010 | 221 | |
| 8 | 2007 | 203 | |
| 9 | 2004 | 200 | |
| 10 | 2006 | 181 | |
| 11 | 2000 | 175 | |
| 12 | 2003 | 159 | |
| 13 | 2007 | 133 | |
| 14 | Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning | 2002 | 125 |
| 15 | 2010 | 117 | |
| 16 | 2007 | 108 | |
| 17 | 2000 | 107 | |
| 18 | 2013 | 105 | |
| 19 | The Effects of Training Set Size on Decision Tree Complexity | 1997 | 90 |
| 20 | 2008 | 89 |
About David D. Jensen
David D. Jensen is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Management Science and Operations Research and Computer Networks and Communications, having authored 123 papers that have together received 6.9k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (33 papers), Data Mining Algorithms and Applications (31 papers), Complex Network Analysis Techniques (16 papers), Data Quality and Management (10 papers), Imbalanced Data Classification Techniques (9 papers), Machine Learning and Data Classification (9 papers), Machine Learning and Algorithms (7 papers) and Software Engineering Research (7 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Computer Networks and Communications (2.3k citations), Statistical and Nonlinear Physics (1.1k citations), Information Systems (1.3k citations) and Signal Processing (474 citations). David D. Jensen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jennifer Neville, Brian J. Gallagher, Brian Neil Levine, John R. Burgess, Michael Hay, Gerome Miklau, Tim Oates, Don Towsley, Matthew Hale Rattigan and Foster John Provost. Their work appears in journals such as Machine Learning, Pattern Recognition Letters, Ecology, Risk Analysis and International Review of the Red Cross.
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.