John Collomosse

4.5k total citations
110 papers, 2.5k citations indexed

About

John Collomosse is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Control and Systems Engineering. According to data from OpenAlex, John Collomosse has authored 110 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Vision and Pattern Recognition, 26 papers in Computer Graphics and Computer-Aided Design and 12 papers in Control and Systems Engineering. Recurrent topics in John Collomosse's work include Advanced Vision and Imaging (34 papers), Advanced Image and Video Retrieval Techniques (27 papers) and Computer Graphics and Visualization Techniques (26 papers). John Collomosse is often cited by papers focused on Advanced Vision and Imaging (34 papers), Advanced Image and Video Retrieval Techniques (27 papers) and Computer Graphics and Visualization Techniques (26 papers). John Collomosse collaborates with scholars based in United Kingdom, United States and France. John Collomosse's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Transactions on Graphics and Journal of Autism and Developmental Disorders.

In The Last Decade

John Collomosse

105 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Collomosse United Kingdom 27 2.0k 454 297 236 225 110 2.5k
Jingwan Lu United States 22 2.0k 1.0× 603 1.3× 467 1.6× 402 1.7× 279 1.2× 50 2.6k
Chongyang Ma China 26 1.8k 0.9× 632 1.4× 623 2.1× 198 0.8× 180 0.8× 74 2.3k
Edilson de Aguiar Germany 20 1.8k 0.9× 447 1.0× 724 2.4× 392 1.7× 163 0.7× 52 2.3k
Shigeo Morishima Japan 18 1.5k 0.8× 446 1.0× 719 2.4× 219 0.9× 141 0.6× 253 2.1k
Ira Kemelmacher-Shlizerman United States 20 2.1k 1.0× 367 0.8× 595 2.0× 176 0.7× 176 0.8× 34 2.4k
Bo Sun China 24 904 0.4× 406 0.9× 214 0.7× 114 0.5× 344 1.5× 161 1.8k
Yingqing Xu China 28 2.1k 1.1× 923 2.0× 522 1.8× 186 0.8× 118 0.5× 102 2.8k
Andrew Liu United States 14 664 0.3× 269 0.6× 162 0.5× 335 1.4× 213 0.9× 43 2.0k
Justus Thies Germany 22 3.8k 1.9× 655 1.4× 978 3.3× 291 1.2× 480 2.1× 43 4.2k
Mohamed Daoudi France 28 2.2k 1.1× 160 0.4× 614 2.1× 84 0.4× 305 1.4× 125 2.7k

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 of co-authors of John Collomosse

This figure shows the co-authorship network connecting the top 25 collaborators of John Collomosse. A scholar is included among the top collaborators of John Collomosse 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 John Collomosse. John Collomosse 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
1.
Collomosse, John, et al.. (2025). MultiNeRF: Multiple Watermark Embedding for Neural Radiance Fields. 1534–1543.
2.
Shi, Jing, et al.. (2024). VIXEN: Visual Text Comparison Network for Image Difference Captioning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 846–854. 1 indexed citations
3.
Collomosse, John, et al.. (2024). ProMark: Proactive Diffusion Watermarking for Causal Attribution. 10802–10811. 9 indexed citations
4.
Bai, Yue, et al.. (2023). Layout Representation Learning with Spatial and Structural Hierarchies. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 206–214. 1 indexed citations
5.
Jenni, Simon, et al.. (2023). Audio-Visual Contrastive Learning with Temporal Self-Supervision. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 7996–8004. 7 indexed citations
6.
Motiian, Saeid, et al.. (2021). ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11906–11915. 17 indexed citations
7.
Bui, Tu, et al.. (2020). . View. 52 indexed citations
8.
Collomosse, John, et al.. (2020). TAPESTRY: A De-Centralized Service for Trusted Interaction Online. IEEE Transactions on Services Computing. 15(3). 1385–1398. 4 indexed citations
9.
He, Tong, John Collomosse, Hailin Jin, & Stefano Soatto. (2020). Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. arXiv (Cornell University). 33. 9276–9287. 11 indexed citations
10.
Coutts, Louise V., David Plans, Alan W. Brown, & John Collomosse. (2020). Deep learning with wearable based heart rate variability for prediction of mental and general health. Journal of Biomedical Informatics. 112. 103610–103610. 69 indexed citations
11.
Morelli, Davide, David Plans, Alan Brown, et al.. (2019). ComeHere: Exploiting ethereum for secure sharing of health-care data. Lecture notes in computer science. 585–596. 1 indexed citations
12.
Brown, Alan W., et al.. (2018). 304.2 Using blockchain to engender trust in public digital archives. Phaidra (Universität Wien). 2 indexed citations
13.
Gilbert, Andrew, Matthew Trumble, Adrian Hilton, & John Collomosse. (2018). Inpainting of Wide-Baseline Multiple Viewpoint Video. IEEE Transactions on Visualization and Computer Graphics. 26(7). 2417–2428. 2 indexed citations
14.
Collomosse, John, et al.. (2018). TAPESTRY: Visualizing Interwoven Identities for Trust Provenance. 1–4. 4 indexed citations
15.
Kyprianidis, Jan Eric, John Collomosse, Tinghuai Wang, & Tobias Isenberg. (2012). State of the "Art”: A Taxonomy of Artistic Stylization Techniques for Images and Video. IEEE Transactions on Visualization and Computer Graphics. 19(5). 866–885. 183 indexed citations
16.
Collomosse, John, et al.. (2011). Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering. 4 indexed citations
17.
McGuire, Morgan & John Collomosse. (2010). Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering. 1 indexed citations
18.
Brosnan, Mark, et al.. (2009). The Relationship Between Systemising and Mental Rotation and the Implications for the Extreme Male Brain Theory of Autism. Journal of Autism and Developmental Disorders. 40(1). 1–7. 26 indexed citations
19.
Hall, Peter, John Collomosse, Yi-Zhe Song, Peiyi Shen, & Chuan Li. (2007). RTcams: A New Perspective on Nonphotorealistic Rendering from Photographs. IEEE Transactions on Visualization and Computer Graphics. 13(5). 966–979. 14 indexed citations
20.
Collomosse, John, et al.. (2005). Stroke Surfaces: Temporally Coherent Artistic Animations from Video. IEEE Transactions on Visualization and Computer Graphics. 11(5). 540–549. 75 indexed citations

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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