Toby Howard

25 papers receiving 585 citations

Peers

Toby Howard
Comparison fields: 5 of 81
  • Anesthesiology and Pain Medicine 141
  • Computer Graphics and Computer-Aided Design 92
  • Human-Computer Interaction 110
  • Rehabilitation 91
  • Computer Vision and Pattern Recognition 264
Replace Mungyeong Choe with:
Mungyeong Choe United States
Saïda Bouakaz France
Alexandre Meyer France
Thanassis Rikakis United States
Beomjoo Seo Singapore
Edgard Afonso Lamounier Júnior Brazil
Naoki Wake Japan
Golshah A. Naghdy Australia
Thomas Pintaric Austria
Rui Bastos United States
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Citations per year

Countries citing papers authored by Toby Howard

Since Specialization
Citations

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

Fields of papers citing papers by Toby Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Toby Howard, 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 Toby Howard Line = papers co-authored together Toby Howard 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 2007136
2 200666
3 200253
4 200343
5 199941
6 201339
7
Real-time markerless human body tracking with multi-view 3-d voxel reconstruction.
200438
8 200736
9 200930
10 200125
11 200624
12 200022
13 200121
14 200020
15 199514
16 200611
17 20039
18 20033
19 20123
20 20093

About Toby Howard

Toby Howard is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Anesthesiology and Pain Medicine, Human-Computer Interaction and Geology, having authored 25 papers that have together received 643 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (7 papers), Pain Management and Treatment (5 papers), 3D Surveying and Cultural Heritage (3 papers), Virtual Reality Applications and Impacts (3 papers), Human Motion and Animation (3 papers), Stroke Rehabilitation and Recovery (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (141 citations), Computer Graphics and Computer-Aided Design (92 citations), Human-Computer Interaction (110 citations), Rehabilitation (91 citations) and Computer Vision and Pattern Recognition (264 citations). Toby Howard has collaborated with scholars based in United Kingdom. Frequent co-authors include Fabrice Caillette, Simon Gibson, Roger J. Hubbold, Emma L. Patchick, Craig D. Murray, Jai Kulkarni, Aphrodite Galata, Rebecca J. Best, Steve R. Pettifer and Ellen Poliakoff. Their work appears in journals such as International Journal on Disability and Human Development, PRESENCE Virtual and Augmented Reality, Perception, Disability and Rehabilitation and Computer Graphics Forum.

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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