Thomas M. Strat

1.1k citations
29 papers · 505 · h-index 13

Impact in

Papers in

Thomas M. Strat

27 papers receiving 456 citations

Peers

Thomas M. Strat
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 251
  • Management Science and Operations Research 94
  • Computer Graphics and Computer-Aided Design 26
  • General Decision Sciences 13
  • Artificial Intelligence 192
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Citations per year

Countries citing papers authored by Thomas M. Strat

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Strat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Strat. 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 Thomas M. Strat. The network helps show where Thomas M. Strat may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas M. Strat, 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 Thomas M. Strat Line = papers co-authored together Thomas M. Strat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991111
2 199087
3 201039
4
Continuous belief functions for evidential reasoning
198434
5
A Numerical Method for Shape-From-Shading from a Single Image.
197925
6 199224
7 199223
8 199220
9 200417
10
The generation of explanations within evidential reasoning systems
198716
11 198916
12
Decision analysis using belief functions
199414
13 198614
14
A framework for evidential-reasoning systems
198612
15 199411
16
Recognizing objects in a natural environment: a contextual vision system (CVS)
19898
17 20057
18 19896
19 20065
20 20024

About Thomas M. Strat

Thomas M. Strat is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research, Aerospace Engineering and Computer Networks and Communications, having authored 29 papers that have together received 505 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Multi-Criteria Decision Making (6 papers), Bayesian Modeling and Causal Inference (6 papers), Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (4 papers), Robotics and Sensor-Based Localization (4 papers), AI-based Problem Solving and Planning (3 papers) and Logic, Reasoning, and Knowledge (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Management Science and Operations Research (94 citations), Computer Graphics and Computer-Aided Design (26 citations), General Decision Sciences (13 citations) and Artificial Intelligence (192 citations). Thomas M. Strat has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Martin A. Fischler, John D. Lowrance, Qinfen Zheng, Rama Chellappa, Ran Yang, Enrique H. Ruspini, P.O. Arambel, Matthew Antone, Thomas D. Garvey and Joseph L. Mundy. Their work appears in journals such as International Journal of Approximate Reasoning, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), LISP and Symbolic Computation and DSpace@MIT (Massachusetts Institute of Technology).

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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