Peter Cheeseman
- Aerospace Engineering top 0.5%
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- Advanced Vision and Imaging 3
- Artificial Intelligence top 0.5%
- Bayesian Modeling and Causal Inference 8
- AI-based Problem Solving and Planning 4
- Logic, Reasoning, and Knowledge 3
- Machine Learning and Algorithms 3
- Signal Processing top 2%
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- Constraint Satisfaction and Optimization 4
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- Computer Graphics and Visualization Techniques 3
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- Statistical Mechanics and Entropy 3
- Co-authors
- Randall C. SmithJohn StutzMatthew W. SelfBob KanefskyWilliam M. TaylorRobert SmithRandall K. SmithRobin Hanson
- Journals
- Technometrics (2 papers)The Astrophysical Journal (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Peter Cheeseman
36 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Aerospace Engineering 1.5k
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 1.6k
- Signal Processing 429
- Computer Networks and Communications 693
Countries citing papers authored by Peter Cheeseman
This map shows the geographic impact of Peter Cheeseman'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 Peter Cheeseman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Cheeseman more than expected).
Fields of papers citing papers by Peter Cheeseman
This network shows the impact of papers produced by Peter Cheeseman. 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 Peter Cheeseman. The network helps show where Peter Cheeseman may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Peter Cheeseman, 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 | 2005 | 3 | |
| 2 | 2003 | 3 | |
| 3 | 2002 | 18 | |
| 4 | Visualization, Extraction and Quantification of Discontinuities in Compressible Flows | 2000 | 6 |
| 5 | Onboard Science Data Analysis: Opportunities, Benefits, and Effects on Mission Design | 1998 | 2 |
| 6 | 1998 | 3 | |
| 7 | 1998 | 11 | |
| 8 | Bayesian classification (AutoClass): theory and resultsbreakdown → | 1996 | 666 |
| 9 | 1995 | 2 | |
| 10 | Selecting Models from Data: AI and Statistics IV | 1994 | 16 |
| 11 | Subpixel Resolution from Multiple Images | 1994 | 3 |
| 12 | Where the really hard problems arebreakdown → | 1991 | 591 |
| 13 | Bayesian classification with correlation and inheritance | 1991 | 30 |
| 14 | A stochastic map for uncertain spatial relationships | 1988 | 313 |
| 15 | 1988 | 3 | |
| 16 | 1988 | 91 | |
| 17 | 1986 | 4 | |
| 18 | Automatic discovery of optimal classes | 1986 | 1 |
| 19 | 1985 | 145 | |
| 20 | A method of computing generalized Bayesian probability values for expert systems | 1983 | 83 |
About Peter Cheeseman
Peter Cheeseman is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 40 papers that have together received 3.8k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (8 papers), Constraint Satisfaction and Optimization (4 papers), AI-based Problem Solving and Planning (4 papers), Logic, Reasoning, and Knowledge (3 papers), Machine Learning and Algorithms (3 papers), Computer Graphics and Visualization Techniques (3 papers), Statistical Mechanics and Entropy (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Aerospace Engineering (1.5k citations), Computer Vision and Pattern Recognition (1.2k citations) and Artificial Intelligence (1.6k citations). Peter Cheeseman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Randall C. Smith, John Stutz, Matthew W. Self, Bob Kanefsky, William M. Taylor, Robert Smith, Randall K. Smith, Robin Hanson, Jeremy Frank and R. Wayne Oldford. Their work appears in journals such as Technometrics, The Astrophysical Journal, IEEE Transactions on Geoscience and Remote Sensing, IEEE Intelligent Systems and Chemical engineering progress.
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.