Martin Breidt
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 10%
- Human-Computer Interaction top 2%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- HH BülthoffRachel McDonnellDouglas W. CunninghamChristian WallravenCristóbal CurioQuoc C. VuongM KleinerS de la Rosa
- Topics
- Face recognition and analysis (15 papers)Face Recognition and Perception (10 papers)Human Motion and Animation (9 papers)
- Partner nations
- GermanySouth KoreaUnited Kingdom
In The Last Decade
Martin Breidt
33 papers receiving 543 citations
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 248
- Computer Vision and Pattern Recognition 190
- Social Psychology 168
- Human-Computer Interaction 133
- Experimental and Cognitive Psychology 127
Countries citing papers authored by Martin Breidt
This map shows the geographic impact of Martin Breidt'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 Martin Breidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Breidt more than expected).
Fields of papers citing papers by Martin Breidt
This network shows the impact of papers produced by Martin Breidt. 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 Martin Breidt. The network helps show where Martin Breidt may publish in the future.
Co-authorship network of co-authors of Martin Breidt
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Breidt. A scholar is included among the top collaborators of Martin Breidt 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 Martin Breidt. Martin Breidt 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 | On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset | 14 |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | Enhancing medical communication training using motion capture, perspective taking and virtual reality. | 2 |
| 9 | 176 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 20 | |
| 15 | 30 | |
| 16 | Exploring Human Dynamic Facial Expression Recognition with Animation | 2 |
| 17 | Multi-viewpoint video capture for facial perception research | 1 |
| 18 | 9 | |
| 19 | 12 | |
| 20 | The inaccuracy and insincerity of real faces | 4 |
About Martin Breidt
Martin Breidt is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 35 papers that have together received 559 indexed citations. Recurring topics across this work include Face recognition and analysis (15 papers), Face Recognition and Perception (10 papers) and Human Motion and Animation (9 papers). The work is most often cited by research in Human-Computer Interaction (133 citations), Cognitive Neuroscience (248 citations) and Experimental and Cognitive Psychology (127 citations). Martin Breidt has collaborated with scholars based in Germany, South Korea and United Kingdom. Frequent co-authors include HH Bülthoff, Rachel McDonnell, Douglas W. Cunningham, Christian Wallraven, Cristóbal Curio, Quoc C. Vuong, M Kleiner, S de la Rosa, Michael Krimmel and Siegmar Reinert. Their work appears in journals such as ACM Transactions on Graphics, Vision Research and Plastic & Reconstructive Surgery.
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.