John Collomosse

4.5k citations
110 papers · 2.5k indexed · h-index 27

John Collomosse

105 papers receiving 2.4k citations

Peers

John Collomosse
Comparison fields: 5 of 133
  • Computer Graphics and Computer-Aided Design 454
  • Computer Vision and Pattern Recognition 2.0k
  • Human-Computer Interaction 168
  • Computational Mechanics 297
  • Control and Systems Engineering 236
Replace Jingwan Lu with:
Jingwan Lu United States
Chongyang Ma China
Edilson de Aguiar Germany
Amit H. Bermano Israel
Yingqing Xu China
Bo Sun China
Andrew Liu United States
Shigeo Morishima Japan
Ira Kemelmacher-Shlizerman United States
Thomas Strothotte Germany
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Citations per field
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Citations per year

Countries citing papers authored by John Collomosse

Since Specialization
Citations

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

Fields of papers citing papers by John Collomosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20249
4 20231
5 20237
6 202117
7
202052
8 20204
9
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
202011
10 202069
11
ComeHere: Exploiting ethereum for secure sharing of health-care data
20191
12 20182
13 20182
14 20184
15 2012183
16
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering
20114
17
Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
20101
18 200926
19 200714
20 200575

About John Collomosse

John Collomosse is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Human-Computer Interaction, Space and Planetary Science and Geology, having authored 110 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (34 papers), Advanced Image and Video Retrieval Techniques (27 papers), Computer Graphics and Visualization Techniques (26 papers), Video Analysis and Summarization (22 papers), Generative Adversarial Networks and Image Synthesis (18 papers), Human Pose and Action Recognition (16 papers), Image Retrieval and Classification Techniques (15 papers) and Human Motion and Animation (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (454 citations), Computer Vision and Pattern Recognition (2.0k citations), Human-Computer Interaction (168 citations), Computational Mechanics (297 citations) and Control and Systems Engineering (236 citations). John Collomosse has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Rui Hu, Tu Bui, Adrian Hilton, Tinghuai Wang, Peter Hall, Andrew Gilbert, Charles Malleson, Matthew Trumble, Moacir Antonelli Ponti and Paul L. Rosin. Their work appears in journals such as Computers & Graphics, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Multimedia, International Journal of Computer Vision and Computer Vision and Image Understanding.

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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