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 16
- Video Surveillance and Tracking Methods 8
- Optical measurement and interference techniques 8
- Human Pose and Action Recognition 7
- Face recognition and analysis 6
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- Robotics and Sensor-Based Localization 23
- Co-authors
- Akihiro Sugimoto (17 shared papers)Rin-ichiro Taniguchi (10 shared papers)Hideaki Uchiyama (17 shared papers)Atsushi Shimada (4 shared papers)Václav Hlaváč (2 shared papers)Vojtěch Franc (2 shared papers)Michal Uřičář (2 shared papers)Hiroshi Kawasaki (8 shared papers)
In The Last Decade
Diego Thomas
45 papers receiving 337 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 233
- Geology 49
- Computer Graphics and Computer-Aided Design 24
- Human-Computer Interaction 36
- Aerospace Engineering 100
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2017 | 33 | |
| 3 | 2020 | 25 | |
| 4 | 2018 | 20 | |
| 5 | 2016 | 19 | |
| 6 | 2022 | 19 | |
| 7 | 2013 | 19 | |
| 8 | 2016 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2011 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2013 | 6 | |
| 20 | 2019 | 5 |
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 53 papers that have together received 349 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (23 papers), Advanced Vision and Imaging (16 papers), 3D Surveying and Cultural Heritage (10 papers), 3D Shape Modeling and Analysis (9 papers), Video Surveillance and Tracking Methods (8 papers), Optical measurement and interference techniques (8 papers), Human Pose and Action Recognition (7 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (233 citations), Geology (49 citations), Computer Graphics and Computer-Aided Design (24 citations), Human-Computer Interaction (36 citations) and Aerospace Engineering (100 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, Václav Hlaváč, Vojtěch Franc, Michal Uřičář, Hiroshi Kawasaki, Verônica Teichrieb and João Paulo Lima. Their work appears in journals such as Sensors, Computer Vision and Image Understanding, Computational Visual Media, Image and Vision Computing and Automation in Construction.
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.