Stuart Geman

28.0k total citations · 3 hit papers
56 papers, 17.7k citations indexed

About

Stuart Geman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Stuart Geman has authored 56 papers receiving a total of 17.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 13 papers in Cognitive Neuroscience. Recurrent topics in Stuart Geman's work include Neural dynamics and brain function (13 papers), Medical Image Segmentation Techniques (6 papers) and Image Retrieval and Classification Techniques (6 papers). Stuart Geman is often cited by papers focused on Neural dynamics and brain function (13 papers), Medical Image Segmentation Techniques (6 papers) and Image Retrieval and Classification Techniques (6 papers). Stuart Geman collaborates with scholars based in United States, Taiwan and France. Stuart Geman's co-authors include Donald Geman, Elie Bienenstock, René Doursat, Donald E. McClure, Chii-Ruey Hwang, Po Dong, Christine Graffigne, Zhiyi Chi, Matthew Tom Harrison and Asohan Amarasingham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Stuart Geman

55 papers receiving 16.1k citations

Hit Papers

Stochastic Relaxation, Gibbs Distributions, and the Bayes... 1984 2026 1998 2012 1984 1992 1993 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stuart Geman United States 27 5.9k 5.6k 2.7k 1.4k 1.0k 56 17.7k
Donald Geman United States 33 4.9k 0.8× 7.0k 1.2× 2.5k 0.9× 1.9k 1.3× 1.2k 1.2× 105 20.0k
Chris Bishop United Kingdom 35 9.2k 1.6× 5.4k 1.0× 1.0k 0.4× 1.0k 0.7× 473 0.5× 100 24.0k
Julian Besag United Kingdom 33 3.5k 0.6× 3.0k 0.5× 3.6k 1.3× 932 0.7× 737 0.7× 60 16.1k
N. M. Laird United States 20 12.5k 2.1× 5.3k 0.9× 6.4k 2.3× 1.0k 0.7× 1.2k 1.2× 32 37.2k
Grace Wahba United States 46 4.4k 0.7× 3.6k 0.6× 5.5k 2.0× 392 0.3× 884 0.8× 148 21.9k
Peter Flach United Kingdom 45 9.5k 1.6× 6.1k 1.1× 542 0.2× 873 0.6× 980 0.9× 218 20.9k
Yoav Freund United States 35 15.8k 2.7× 8.2k 1.5× 935 0.3× 1.1k 0.8× 718 0.7× 89 31.0k
Alexander J. Smola United States 42 11.8k 2.0× 8.8k 1.6× 977 0.4× 1.6k 1.1× 578 0.6× 100 25.2k
J. A. Hartigan United States 35 6.9k 1.2× 3.3k 0.6× 2.1k 0.8× 653 0.5× 376 0.4× 83 22.2k
Radford M. Neal Canada 31 8.3k 1.4× 3.5k 0.6× 2.5k 0.9× 434 0.3× 290 0.3× 55 19.8k

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 of co-authors of Stuart Geman

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart Geman. A scholar is included among the top collaborators of Stuart Geman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stuart Geman. Stuart Geman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Paradiso, Michael A., et al.. (2019). Transsacadic Information and Corollary Discharge in Local Field Potentials of Macaque V1. Frontiers in Integrative Neuroscience. 12. 63–63. 3 indexed citations
2.
Geman, Stuart, et al.. (2019). Base-pair ambiguity and the kinetics of RNA folding. BMC Bioinformatics. 20(1). 666–666. 2 indexed citations
3.
Borenstein, Eran, et al.. (2017). Maximum likelihood features for generative image models. The Annals of Applied Statistics. 11(3). 3 indexed citations
4.
Geman, Stuart, et al.. (2013). Empirical scaling laws and the aggregation of non-stationary data. Physica A Statistical Mechanics and its Applications. 392(20). 5046–5052. 4 indexed citations
5.
Geman, Stuart & Wei Zhang. (2009). Statistical inference and probabilistic modeling in compositional vision. 1 indexed citations
6.
Geman, Stuart & Mark Johnson. (2004). Probability and Statistics in Computational Linguistics, a Brief Review. 1–26. 17 indexed citations
7.
Hatsopoulos, Nicholas G., Stuart Geman, Asohan Amarasingham, & Elie Bienenstock. (2003). At what time scale does the nervous system operate?. Neurocomputing. 52-54. 25–29. 53 indexed citations
8.
Geman, Stuart, et al.. (2002). Dynamic programming, tree-width and computation on graphical models. 5 indexed citations
9.
Bienenstock, Elie & Stuart Geman. (1998). Compositionality in neural systems. MIT Press eBooks. 223–226. 26 indexed citations
10.
Geman, Stuart, et al.. (1998). Dynamic programming algorithms for maximum likelihood decoding. 3 indexed citations
11.
Bienenstock, Elie, Stuart Geman, & Daniel Potter. (1996). Compositionality, MDL Priors, and Object Recognition. Neural Information Processing Systems. 9. 838–844. 61 indexed citations
12.
Künsch, Hans R., Stuart Geman, & Athanasios Kehagias. (1995). Hidden Markov Random Fields. The Annals of Applied Probability. 5(3). 49 indexed citations
13.
Bienenstock, Elie & Stuart Geman. (1994). [Neural Networks: A Review from Statistical Perspective]: Comment. Statistical Science. 9(1). 1 indexed citations
14.
Geman, Stuart & Donald Geman. (1993). Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images*. Journal of Applied Statistics. 20(5-6). 25–62. 689 indexed citations breakdown →
15.
Geman, Stuart, et al.. (1992). Bayesian statistical methods applied to emission tomography with physical phantom and patient data. Annals of Biomedical Engineering. 20(6). 733–734. 9 indexed citations
16.
Geman, Stuart, Elie Bienenstock, & René Doursat. (1992). Neural Networks and the Bias/Variance Dilemma. Neural Computation. 4(1). 1–58. 2271 indexed citations breakdown →
17.
Geman, Stuart & Donald Geman. (1984). Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6(6). 721–741. 11851 indexed citations breakdown →
18.
Geman, Stuart & Chii-Ruey Hwang. (1982). Nonparametric Maximum Likelihood Estimation by the Method of Sieves. The Annals of Statistics. 10(2). 229 indexed citations
19.
Geman, Stuart. (1982). Almost Sure Stable Oscillations in a Large System of Randomly Coupled Equations. SIAM Journal on Applied Mathematics. 42(4). 695–703. 18 indexed citations
20.
Geman, Stuart, et al.. (1982). A chaos hypothesis for some large systems of random equations. Probability Theory and Related Fields. 60(3). 291–314. 16 indexed citations

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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