Stephen Thompson

2.8k citations
155 papers · 2.1k · h-index 26

Impact in

Papers in

Stephen Thompson

140 papers receiving 2.0k citations

Peers

Stephen Thompson
Comparison fields: 5 of 183
  • Internal Medicine 138
  • Computer Vision and Pattern Recognition 391
  • Human-Computer Interaction 84
  • Radiation 100
  • Control and Systems Engineering 277
Replace Diego R. Martín with:
Diego R. Martín United States
Rikiya Yamashita United States
Mizuho Nishio Japan
Bo Yang China
Eyal Klang Israel
J. Shin United States
Alex Pui‐Wai Lee Hong Kong
Thomas J. Whelan United States
Stephen Moore United States
Mauricio Reyes Switzerland
Stephen Thompson relative to Diego R. Martín United States Diego R. Martín's profile →
Citations per field
00.5×2×4×5.6×
Diego R. Martín · 1×
Citations per year

Countries citing papers authored by Stephen Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The art of control engineering
1997207
2 2012113
3 2011108
4 202070
5 200066
6 201164
7 198661
8 201848
9 202047
10 201944
11 201844
12 201844
13 201542
14 199138
15 201637
16 200037
17 200136
18 201735
19 202133
20 201830

About Stephen Thompson

Stephen Thompson is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering and Aerospace Engineering, having authored 155 papers that have together received 2.1k indexed citations. Recurring topics across this work include Augmented Reality Applications (11 papers), Fault Detection and Control Systems (10 papers), Advanced Control Systems Optimization (10 papers), Stability and Control of Uncertain Systems (8 papers), Robotics and Sensor-Based Localization (8 papers), Medical Image Segmentation Techniques (7 papers), Advanced Combustion Engine Technologies (7 papers) and Surgical Simulation and Training (7 papers). The work is most often cited by research in Internal Medicine (138 citations), Computer Vision and Pattern Recognition (391 citations), Human-Computer Interaction (84 citations), Radiation (100 citations) and Control and Systems Engineering (277 citations). Stephen Thompson has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include K. Dutton, Matthew J. Clarkson, Danail Stoyanov, David J. Hawkes, Sébastien Ourselin, Brian R Davidson, Kurinchi Selvan Gurusamy, Alpesh Amin, Jay Lin and Guang‐Ren Duan. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Medical Physics, Blood, Neurology and Journal of Clinical Oncology.

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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