David McAllester
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 0.05%
- Reinforcement Learning in Robotics
- Logic, programming, and type systems
Papers in
-
- Logic, programming, and type systems 39
- Logic, Reasoning, and Knowledge 26
- Machine Learning and Algorithms 22
- Bayesian Modeling and Causal Inference 10
- Topic Modeling 8
- Co-authors
- Pedro F. Felzenszwalb (8 shared papers)Deva Ramanan (4 shared papers)Ross Girshick (6 shared papers)Yishay Mansour (4 shared papers)Richard S. Sutton (2 shared papers)Satinder Pal Singh (2 shared papers)Henry Kautz (5 shared papers)Bart Selman (4 shared papers)
- Journals
- ACM SIGPLAN Notices (4 papers)Journal of Computer and System Sciences (3 papers)Journal of the ACM (3 papers)Artificial Intelligence (2 papers)Information and Computation (2 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
David McAllester
150 papers receiving 20.6k citations
David McAllester's Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 10.8k
- Artificial Intelligence 7k
- Automotive Engineering 877
- Computer Networks and Communications 1.4k
- Computational Theory and Mathematics 886
Countries citing papers authored by David McAllester
This map shows the geographic impact of David McAllester'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 McAllester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David McAllester more than expected).
Fields of papers citing papers by David McAllester
This network shows the impact of papers produced by David McAllester. 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 McAllester. The network helps show where David McAllester may publish in the future.
Co-authors
The 25 scholars most cited alongside David McAllester, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Object Detection with Discriminatively Trained Part-Based Models Hit paper breakdown → | 2009 | 7850 |
| 2 | Policy Gradient Methods for Reinforcement Learning with Function Approximation Hit paper breakdown → | 1999 | 3152 |
| 3 | A discriminatively trained, multiscale, deformable part model Hit paper breakdown → | 2008 | 2276 |
| 4 | Cascade object detection with deformable part models Hit paper breakdown → | 2010 | 725 |
| 5 | Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence Hit paper breakdown → | 2009 | 443 |
| 6 | Systematic nonlinear planning | 1991 | 400 |
| 7 | 2001 | 340 | |
| 8 | Evidence for invariants in local search | 1997 | 286 |
| 9 | 2001 | 280 | |
| 10 | 2014 | 252 | |
| 11 | 1998 | 234 | |
| 12 | 2002 | 217 | |
| 13 | Encoding plans in propositional logic | 1996 | 214 |
| 14 | 1997 | 193 | |
| 15 | CLP(intervals) revisited | 1994 | 190 |
| 16 | 1999 | 183 | |
| 17 | Exploring Generalization in Deep Learning | 2017 | 175 |
| 18 | Object Detection with Grammar Models | 2011 | 169 |
| 19 | 2007 | 137 | |
| 20 | An Outlook on Truth Maintenance. | 1980 | 134 |
About David McAllester
David McAllester is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Automotive Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 155 papers that have together received 21.7k indexed citations. Recurring topics across this work include Logic, programming, and type systems (39 papers), Logic, Reasoning, and Knowledge (26 papers), Machine Learning and Algorithms (22 papers), Autonomous Vehicle Technology and Safety (14 papers), Bayesian Modeling and Causal Inference (10 papers), Constraint Satisfaction and Optimization (9 papers), Advanced Neural Network Applications (9 papers) and Topic Modeling (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.8k citations), Artificial Intelligence (7k citations), Automotive Engineering (877 citations), Computer Networks and Communications (1.4k citations) and Computational Theory and Mathematics (886 citations). David McAllester has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Pedro F. Felzenszwalb, Deva Ramanan, Ross Girshick, Yishay Mansour, Richard S. Sutton, Satinder Pal Singh, Henry Kautz, Bart Selman, David Rosenblitt and Raquel Urtasun. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Computer and System Sciences, Journal of the ACM, Artificial Intelligence and Information and Computation.
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.