Thomas Vetter
- Computer Vision and Pattern Recognition top 0.05%
- Computational Mechanics top 0.2%
- Cognitive Neuroscience top 1%
- Signal Processing top 0.5%
- Materials Chemistry top 5%
- Co-authors
- Volker BlanzSami RomdhaniBrian AmbergAlice J. O’TooleTomaso PoggioMarco MazzottiReinhard KnotheDavid A. Leopold
- Topics
- Face recognition and analysis (47 papers)Crystallization and Solubility Studies (36 papers)Face and Expression Recognition (28 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational Mechanics
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionJournal of Personality and Social Psychology
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Thomas Vetter
145 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Computer Vision and Pattern Recognition 7.5k
- Computational Mechanics 2.4k
- Cognitive Neuroscience 1.7k
- Signal Processing 1.2k
- Materials Chemistry 1.1k
Countries citing papers authored by Thomas Vetter
This map shows the geographic impact of Thomas Vetter'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 Thomas Vetter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Vetter more than expected).
Fields of papers citing papers by Thomas Vetter
This network shows the impact of papers produced by Thomas Vetter. 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 Thomas Vetter. The network helps show where Thomas Vetter may publish in the future.
Co-authorship network of co-authors of Thomas Vetter
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Vetter. A scholar is included among the top collaborators of Thomas Vetter 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 Thomas Vetter. Thomas Vetter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 26 | |
| 9 | 15 | |
| 10 | 22 | |
| 11 | 49 | |
| 12 | 23 | |
| 13 | 38 | |
| 14 | 80 | |
| 15 | 56 | |
| 16 | 75 | |
| 17 | 16 | |
| 18 | 27 | |
| 19 | 97 | |
| 20 | Efficient, Robust and Accurate Fitting of a 3D Morphable Model | 3 |
About Thomas Vetter
Thomas Vetter is a scholar working on Computer Vision and Pattern Recognition, Filtration and Separation and Computer Graphics and Computer-Aided Design, having authored 152 papers that have together received 11.2k indexed citations. Recurring topics across this work include Face recognition and analysis (47 papers), Crystallization and Solubility Studies (36 papers) and Face and Expression Recognition (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.5k citations), Computer Graphics and Computer-Aided Design (613 citations) and Computational Mechanics (2.4k citations). Thomas Vetter has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Volker Blanz, Sami Romdhani, Brian Amberg, Alice J. O’Toole, Tomaso Poggio, Marco Mazzotti, Reinhard Knothe, David A. Leopold, Pascal Paysan and Mirella Walker. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Personality and Social Psychology.
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.