Robin Thomas

24 papers receiving 254 citations

Peers

Robin Thomas
Comparison fields: 5 of 97
  • Discrete Mathematics and Combinatorics 19
  • Instrumentation 15
  • Computer Vision and Pattern Recognition 52
  • Computational Theory and Mathematics 37
  • Geometry and Topology 19
Replace Eugene F. Krause with:
Eugene F. Krause United States
Greg Aloupis Belgium
Richard J. Caron Canada
Robert Brijder Netherlands
Yanling Chen Germany
Jian Peng China
Melvin K. Simmons United States
Alberto Márquez Spain
Robin L. Raffard United States
Gianpiero Di Blasi Italy
Robin Thomas relative to Eugene F. Krause United States Eugene F. Krause's profile →
Citations per field
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Eugene F. Krause · 1×
Citations per year

Countries citing papers authored by Robin Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Robin Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Robin Thomas, 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 Robin Thomas Line = papers co-authored together Robin Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computer Vision: A First Course
198884
2 197626
3 202126
4 198723
5 198919
6 202018
7 199013
8 198211
9
THE FOUR-COLOR THEOREM
20029
10 20108
11 20137
12 20227
13
Experimental adaptive interface
19847
14 20245
15 20234
16 20233
17 20243
18 20213
19 20252
20 20032

About Robin Thomas

Robin Thomas is a scholar working on Astronomy and Astrophysics, Instrumentation, Control and Systems Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 25 papers that have together received 285 indexed citations. Recurring topics across this work include Astronomy and Astrophysical Research (6 papers), Stellar, planetary, and galactic studies (3 papers), Advanced Graph Theory Research (3 papers), Mechanical Engineering and Vibrations Research (2 papers), Astrophysics and Star Formation Studies (2 papers), Electric and Hybrid Vehicle Technologies (2 papers), Astronomical Observations and Instrumentation (2 papers) and Electric Motor Design and Analysis (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (19 citations), Instrumentation (15 citations), Computer Vision and Pattern Recognition (52 citations), Computational Theory and Mathematics (37 citations) and Geometry and Topology (19 citations). Robin Thomas has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Alan Burns, Lauric Garbuio, Igor Kříž, Sreeja S. Kartha, Blesson Mathew, T. E. Reagan, Donald C. Sheppard, D. C. Herzog, L. D. Newsom and Reinhard Diestel. Their work appears in journals such as Astronomy and Astrophysics, Monthly Notices of the Royal Astronomical Society, Decision Support Systems, The Computer Journal and Transactions of the American Mathematical Society.

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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