David McAllester
- Computer Vision and Pattern Recognition top 0.05%
- Video Surveillance and Tracking Methods 15
- Artificial Intelligence top 0.05%
- Logic, Reasoning, and Knowledge 25
- Logic, programming, and type systems 19
- Natural Language Processing Techniques 18
- Machine Learning and Algorithms 12
- Topic Modeling 11
- Media Technology top 0.5%
- Computational Theory and Mathematics top 0.2%
- Formal Methods in Verification 20
- Automotive Engineering top 0.5%
- Autonomous Vehicle Technology and Safety 14
- Co-authors
- Pedro F. FelzenszwalbDeva RamananRoss GirshickYishay MansourSatinder SinghRichard S. SuttonDavid RosenblittHenry Kautz
- Journals
- ACM SIGPLAN Notices (4 papers)Journal of Computer and System Sciences (3 papers)Journal of the ACM (3 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
David McAllester
119 papers receiving 15.7k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | Discriminative Metric Learning by Neighborhood Gerrymandering | 2014 | 4 |
| 2 | Object Detection with Grammar Models | 2011 | 151 |
| 3 | Convex max-product algorithms for continuous MRFs with applications to protein folding | 2011 | 20 |
| 4 | Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss | 2011 | 30 |
| 5 | Particle Belief Propagation | 2009 | 74 |
| 6 | Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligencebreakdown → | 2009 | 409 |
| 7 | Affine algebraic decision diagrams (AADDs) and their application to structured probabilistic inference | 2005 | 35 |
| 8 | Maximum Margin Semi-Supervised Learning for Structured Variables | 2005 | 70 |
| 9 | 2004 | 34 | |
| 10 | Joint RTA-TLCA Invited Talk: A Logical Algorithm for ML Type Inference. | 2003 | 2 |
| 11 | Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation | 2002 | 30 |
| 12 | On the Convergence Rate of Good-Turing Estimators | 2000 | 71 |
| 13 | Computable Shell Decomposition Bounds | 2000 | 6 |
| 14 | Boosting with Multi-Way Branching in Decision Trees | 1999 | 3 |
| 15 | Evidence for invariants in local search | 1997 | 184 |
| 16 | CLP(intervals) revisited | 1994 | 111 |
| 17 | Natural Language Based Inference Procedures Applied to Schubert''s Steamroller | 1991 | 46 |
| 18 | DEPENDENCY DIRECTED BACKTRACKING IN GENERALIZED SATISFICING ASSIGNMENT PROBLEMS | 1990 | 0 |
| 19 | Non-deterministic lisp with dependency-directed backtracking | 1987 | 6 |
| 20 | Algebraic approximations | 1981 | 3 |
About David McAllester
David McAllester is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software, 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 Topic Modeling (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.8k citations), Artificial Intelligence (6.8k citations) and Media Technology (801 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.