David McAllester
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 0.05%
- Reinforcement Learning in Robotics
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Logic, Reasoning, and Knowledge 25
- Logic, programming, and type systems 19
- Natural Language Processing Techniques 18
- Machine Learning and Algorithms 12
- Bayesian Modeling and Causal Inference 11
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- Formal Methods in Verification 20
- Co-authors
- Pedro F. Felzenszwalb (9 shared papers)Deva Ramanan (5 shared papers)Ross Girshick (7 shared papers)Yishay Mansour (4 shared papers)Satinder Singh (3 shared papers)Richard S. Sutton (2 shared papers)David Rosenblitt (1 shared paper)Henry Kautz (5 shared papers)
- Journals
- ACM SIGPLAN Notices (4 papers)Journal of Computer and System Sciences (3 papers)Journal of the ACM (3 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Machine Learning (2 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
David McAllester
119 papers receiving 15.7k citations
David McAllester's Hit Papers
Peers
Comparison fields: 5 of 188
- Computer Vision and Pattern Recognition 9.8k
- Artificial Intelligence 6.8k
- Media Technology 801
- Computational Theory and Mathematics 1.3k
- Automotive Engineering 948
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 124 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 | 6551 |
| 2 | Policy Gradient Methods for Reinforcement Learning with Function Approximation Hit paper breakdown → | 1999 | 2738 |
| 3 | A discriminatively trained, multiscale, deformable part model Hit paper breakdown → | 2008 | 1931 |
| 4 | Cascade object detection with deformable part models Hit paper breakdown → | 2010 | 639 |
| 5 | Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence Hit paper breakdown → | 2009 | 409 |
| 6 | Systematic nonlinear planning | 1991 | 345 |
| 7 | 2001 | 221 | |
| 8 | 1998 | 190 | |
| 9 | Evidence for invariants in local search | 1997 | 184 |
| 10 | Encoding plans in propositional logic | 1996 | 175 |
| 11 | Object Detection with Grammar Models | 2011 | 151 |
| 12 | 1997 | 140 | |
| 13 | Exploring Generalization in Deep Learning | 2017 | 139 |
| 14 | 1999 | 138 | |
| 15 | 2012 | 118 | |
| 16 | CLP(intervals) revisited | 1994 | 111 |
| 17 | An Outlook on Truth Maintenance. | 1980 | 109 |
| 18 | 2003 | 90 | |
| 19 | 1997 | 76 | |
| 20 | 2013 | 75 |
About David McAllester
David McAllester is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Automotive Engineering, having authored 124 papers that have together received 16.7k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (25 papers), Formal Methods in Verification (20 papers), Logic, programming, and type systems (19 papers), Natural Language Processing Techniques (18 papers), Video Surveillance and Tracking Methods (15 papers), Autonomous Vehicle Technology and Safety (14 papers), Machine Learning and Algorithms (12 papers) and Bayesian Modeling and Causal Inference (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.8k citations), Artificial Intelligence (6.8k citations), Media Technology (801 citations), Computational Theory and Mathematics (1.3k citations) and Automotive Engineering (948 citations). David McAllester has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Pedro F. Felzenszwalb, Deva Ramanan, Ross Girshick, Yishay Mansour, Satinder Singh, Richard S. Sutton, David Rosenblitt, Henry Kautz, Bart Selman and Andrew W. Appel. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Computer and System Sciences, Journal of the ACM, IEEE Transactions on Intelligent Transportation Systems and Machine Learning.
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.