Tom Calvert

958 total citations
31 papers, 592 citations indexed

About

Tom Calvert is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Experimental and Cognitive Psychology. According to data from OpenAlex, Tom Calvert has authored 31 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Control and Systems Engineering and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Tom Calvert's work include Human Motion and Animation (11 papers), Human Pose and Action Recognition (5 papers) and Diversity and Impact of Dance (4 papers). Tom Calvert is often cited by papers focused on Human Motion and Animation (11 papers), Human Pose and Action Recognition (5 papers) and Diversity and Impact of Dance (4 papers). Tom Calvert collaborates with scholars based in Canada, United Kingdom and United States. Tom Calvert's co-authors include Armin Bruderlin, Lyn Bartram, Colin Ware, Kenji AMAYA, John W. Buchanan, Jim Bizzocchi, Thecla Schiphorst, Danielle Sinnett, Herbert H. Tsang and Andrew Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurology Neurosurgery & Psychiatry and International Journal of Human-Computer Studies.

In The Last Decade

Tom Calvert

30 papers receiving 533 citations

Peers

Tom Calvert
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 344
  • Control and Systems Engineering 255
  • Human-Computer Interaction 126
  • Social Psychology 92
  • Cognitive Neuroscience 72
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Citations per field, relative to Tom Calvert
Tom Calvert · 1×
Citations per year, relative to Tom Calvert
Tom Calvert · 1×

Countries citing papers authored by Tom Calvert

Since Specialization
Citations

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

Fields of papers citing papers by Tom Calvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Calvert

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Calvert. A scholar is included among the top collaborators of Tom Calvert 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 Tom Calvert. Tom Calvert 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
# Work Indexed citations
1 4
2 2
3 5
4
CoChoreo: A Generative Feature in iDanceForms for Creating Novel Keyframe Animation for Choreography.
2
5 10
6 2
7 18
8 5
9 4
10
From dance notation to human animation: The LabanDancer project: Motion Capture and Retrieval
26
11 31
12 3
13 35
14 19
15 1
16
Virtual-U: An Online Learning Environment.
5
17
Virtual-U™: a web-based environment customized to support collaborative learning and knowledge building in post secondary courses
6
18
Choreographers as animators: systems to support composition of dance
4
19 138
20 3

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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