Diego Thomas
Impact in
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- Advanced Vision and Imaging
- Face recognition and analysis
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 22
- Optical measurement and interference techniques 10
- Human Pose and Action Recognition 10
- Video Surveillance and Tracking Methods 9
- Face recognition and analysis 6
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- Robotics and Sensor-Based Localization 30
- Co-authors
- Akihiro Sugimoto (18 shared papers)Rin-ichiro Taniguchi (11 shared papers)Hideaki Uchiyama (20 shared papers)Atsushi Shimada (4 shared papers)Hiroshi Kawasaki (13 shared papers)Vojtěch Franc (2 shared papers)Václav Hlaváč (2 shared papers)Michal Uřičář (2 shared papers)
In The Last Decade
Diego Thomas
57 papers receiving 532 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 290
- Geology 64
- Computer Graphics and Computer-Aided Design 31
- Aerospace Engineering 170
- Human-Computer Interaction 37
Countries citing papers authored by Diego Thomas
This map shows the geographic impact of Diego Thomas'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 Diego Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Thomas more than expected).
Fields of papers citing papers by Diego Thomas
This network shows the impact of papers produced by Diego Thomas. 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 Diego Thomas. The network helps show where Diego Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2019 | 63 | |
| 3 | 2020 | 55 | |
| 4 | 2017 | 39 | |
| 5 | 2020 | 30 | |
| 6 | 2022 | 25 | |
| 7 | 2018 | 22 | |
| 8 | 2013 | 21 | |
| 9 | 2016 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2015 | 17 | |
| 12 | 2018 | 15 | |
| 13 | 2019 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2017 | 9 | |
| 16 | 2011 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2022 | 7 |
About Diego Thomas
Diego Thomas is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Computational Mechanics and Human-Computer Interaction, having authored 65 papers that have together received 548 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), Advanced Vision and Imaging (22 papers), 3D Shape Modeling and Analysis (13 papers), 3D Surveying and Cultural Heritage (12 papers), Optical measurement and interference techniques (10 papers), Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (9 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Geology (64 citations), Computer Graphics and Computer-Aided Design (31 citations), Aerospace Engineering (170 citations) and Human-Computer Interaction (37 citations). Diego Thomas has collaborated with scholars based in Japan, Brazil and France. Frequent co-authors include Akihiro Sugimoto, Rin-ichiro Taniguchi, Hideaki Uchiyama, Atsushi Shimada, Hiroshi Kawasaki, Vojtěch Franc, Václav Hlaváč, Michal Uřičář, Verônica Teichrieb and João Paulo Lima. Their work appears in journals such as Sensors, Computer Vision and Image Understanding, IEEE Access, Computational Visual Media and Journal of Asian Architecture and Building Engineering.
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.