David Jensen
Impact in
- Computer Networks and Communications top 0.5%
- Opportunistic and Delay-Tolerant Networks
- Mobile Ad Hoc Networks
- Caching and Content Delivery
- Artificial Intelligence top 0.5%
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
Papers in ⓘ
-
- Bayesian Modeling and Causal Inference 31
- Imbalanced Data Classification Techniques 9
- Machine Learning and Data Classification 7
-
- Data Mining Algorithms and Applications 29
- Co-authors
- Brian Gallagher (4 shared papers)Brian Neil Levine (2 shared papers)Jennifer Neville (15 shared papers)John Burgess (1 shared paper)Michael Hay (8 shared papers)Tim Oates (6 shared papers)Gerome Miklau (4 shared papers)Matthew J. Rattigan (11 shared papers)
- Journals
- Machine Learning (3 papers)Law Probability and Risk (1 paper)Ecology (1 paper)Journal of Vacuum Science & Technology A Vacuum Surfaces and Films (1 paper)Science (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David Jensen
108 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Networks and Communications 1.9k
- Artificial Intelligence 2.5k
- Statistical and Nonlinear Physics 835
- Information Systems 1.0k
- Management Science and Operations Research 349
Countries citing papers authored by David Jensen
This map shows the geographic impact of David 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 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 Jensen more than expected).
Fields of papers citing papers by David Jensen
This network shows the impact of papers produced by David 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 Jensen. The network helps show where David Jensen may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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 110 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 | 1454 |
| 2 | Resisting structural re-identification in anonymized social networks Hit paper breakdown → | 2008 | 387 |
| 3 | 2002 | 267 | |
| 4 | 1999 | 237 | |
| 5 | 2009 | 220 | |
| 6 | Iterative Classification in Relational Data | 2000 | 214 |
| 7 | 2004 | 167 | |
| 8 | 2000 | 162 | |
| 9 | 2003 | 130 | |
| 10 | 2007 | 113 | |
| 11 | Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning | 2002 | 111 |
| 12 | 2000 | 99 | |
| 13 | 2010 | 94 | |
| 14 | 2007 | 88 | |
| 15 | The Effects of Training Set Size on Decision Tree Complexity | 1997 | 82 |
| 16 | 2008 | 79 | |
| 17 | 2005 | 75 | |
| 18 | Mining of Concurrent Text and Time Series | 2000 | 74 |
| 19 | 2005 | 70 | |
| 20 | Collective classification with relational dependency networks | 2003 | 66 |
About David Jensen
David Jensen is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Management Science and Operations Research and Statistics and Probability, having authored 110 papers that have together received 5.3k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (31 papers), Data Mining Algorithms and Applications (29 papers), Complex Network Analysis Techniques (16 papers), Data Quality and Management (9 papers), Imbalanced Data Classification Techniques (9 papers), Machine Learning and Data Classification (7 papers), Advanced Database Systems and Queries (6 papers) and Advanced Causal Inference Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Artificial Intelligence (2.5k citations), Statistical and Nonlinear Physics (835 citations), Information Systems (1.0k citations) and Management Science and Operations Research (349 citations). David Jensen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Brian Gallagher, Brian Neil Levine, Jennifer Neville, John Burgess, Michael Hay, Tim Oates, Gerome Miklau, Matthew J. Rattigan, Don Towsley and Paul R. Cohen. Their work appears in journals such as Machine Learning, Law Probability and Risk, Ecology, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films and Science.
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.