Thomas W. Calvert

43 papers receiving 1.7k citations

Peers

Thomas W. Calvert
Comparison fields: 5 of 144
  • Computer Graphics and Computer-Aided Design 143
  • Human-Computer Interaction 164
  • Computer Vision and Pattern Recognition 559
  • Orthopedics and Sports Medicine 205
  • Control and Systems Engineering 406
Replace Balakrishnan Prabhakaran with:
Balakrishnan Prabhakaran United States
N. Alberto Borghese Italy
Burkhard C. Wünsche New Zealand
Darren Cosker United Kingdom
Tomás Ward Ireland
Tapio Seppänen Finland
Yung‐Sheng Chen Taiwan
Haiwei Dong Canada
Christian Wallraven Germany
Odest Chadwicke Jenkins United States
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Citations per year

Countries citing papers authored by Thomas W. Calvert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas W. Calvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006350
2
Classification, estimation, and pattern recognition
1974224
3 1989202
4
Planning for future performance: implications for long term training.
1980135
5 2004120
6 1976117
7 1989106
8 199866
9 198354
10 197751
11 199947
12 200140
13 197332
14 198027
15 198526
16 199126
17 199022
18 197820
19 197017
20 197416

About Thomas W. Calvert

Thomas W. Calvert is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, Artificial Intelligence and Cognitive Neuroscience, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Human Motion and Animation (8 papers), Hand Gesture Recognition Systems (4 papers), Computer Graphics and Visualization Techniques (4 papers), Human Pose and Action Recognition (3 papers), Sports Performance and Training (3 papers), Robotic Path Planning Algorithms (3 papers), Muscle activation and electromyography studies (3 papers) and Robotic Locomotion and Control (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (143 citations), Human-Computer Interaction (164 citations), Computer Vision and Pattern Recognition (559 citations), Orthopedics and Sports Medicine (205 citations) and Control and Systems Engineering (406 citations). Thomas W. Calvert has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Armin Bruderlin, Tzay Y. Young, Regan L. Mandryk, Kori Inkpen, E. W. Banister, Arthur E. Chapman, J. Chapman, Margaret V. Savage, Allan House and Mark S. Drew. Their work appears in journals such as The Visual Computer, IEEE Transactions on Computers, IEEE Transactions on Pattern Analysis and Machine Intelligence, Mathematical Biosciences and Journal of Neurology Neurosurgery & Psychiatry.

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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