Stuart Geman

28.0k citations
56 papers · 17.7k indexed · 3 hit papers · h-index 27

Stuart Geman

55 papers receiving 16.1k citations

Hit Papers

Stochastic relaxation, Gibbs distributions and the Bayesi...68919842026199820122.5k5.0k7.5k10.0k

Peers

Stuart Geman
Comparison fields: 5 of 215
  • Statistics and Probability 2.7k
  • Computer Vision and Pattern Recognition 5.6k
  • Artificial Intelligence 5.9k
  • Media Technology 1.4k
  • Signal Processing 932
Replace Donald Geman with:
Donald Geman United States
Julian Besag United Kingdom
Radford M. Neal Canada
Chris Bishop United Kingdom
J. A. Hartigan United States
Grace Wahba United States
Peter Flach United Kingdom
Joy A. Thomas United States
Alexander J. Smola United States
Jorge Nocedal United States
Stuart Geman relative to Donald Geman United States Donald Geman's profile →
Citations per field
00.5×1.5×
Donald Geman · 1×
Citations per year

Countries citing papers authored by Stuart Geman

Since Specialization
Citations

This map shows the geographic impact of Stuart Geman'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 Stuart Geman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart Geman more than expected).

Fields of papers citing papers by Stuart Geman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart Geman. 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 Stuart Geman. The network helps show where Stuart Geman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stuart Geman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stuart Geman Line = papers co-authored together Stuart Geman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20200
2 20192
3 20193
4 20173
5 20134
6
Statistical inference and probabilistic modeling in compositional vision
20091
7 200619
8 200653
9
Compositionality in neural systems
199826
10
Dynamic programming algorithms for maximum likelihood decoding
19983
11
Estimation of probabilistic context-free grammars
199863
12
Compositionality, MDL Priors, and Object Recognition
199661
13 199549
14 19941
15
Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images*breakdown →
1993689
16 19929
17
Neural Networks and the Bias/Variance Dilemmabreakdown →
19922271
18 1986195
19
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Imagesbreakdown →
198411851
20 198218

About Stuart Geman

Stuart Geman is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Mathematical Physics, having authored 56 papers that have together received 17.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Neural Networks and Applications (6 papers), Visual perception and processing mechanisms (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Statistics and Probability (2.7k citations), Computer Vision and Pattern Recognition (5.6k citations), Artificial Intelligence (5.9k citations), Media Technology (1.4k citations) and Signal Processing (932 citations). Stuart Geman has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Donald Geman, Elie Bienenstock, René Doursat, Donald E. McClure, Chii-Ruey Hwang, Christine Graffigne, Po Dong, Zhiyi Chi, Matthew Tom Harrison and Asohan Amarasingham. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Annals of Probability, SIAM Journal on Applied Mathematics, Neural Computation and The Annals of Statistics.

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.

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