Bernhard Egger
Impact in
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- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
Papers in
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- Face recognition and analysis 13
- Generative Adversarial Networks and Image Synthesis 7
- Advanced Vision and Imaging 5
- Face and Expression Recognition 4
- Optical measurement and interference techniques 2
- Human Pose and Action Recognition 2
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- 3D Shape Modeling and Analysis 6
- Co-authors
- Thomas Vetter (10 shared papers)Andreas Morel-Forster (4 shared papers)Adam Kortylewski (4 shared papers)Sandro Schönborn (5 shared papers)Thomas M. Gerig (1 shared paper)Le Chang (1 shared paper)Doris Y. Tsao (1 shared paper)Norbert Strobel (2 shared papers)
- Journals
- International Journal of Computer Vision (3 papers)The Visual Computer (2 papers)Computer Vision and Image Understanding (2 papers)Current Biology (1 paper)BMC Psychiatry (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Bernhard Egger
26 papers receiving 379 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 251
- Computer Graphics and Computer-Aided Design 20
- Health Informatics 5
- Computational Mechanics 64
- Signal Processing 31
Countries citing papers authored by Bernhard Egger
This map shows the geographic impact of Bernhard Egger'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 Bernhard Egger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Egger more than expected).
Fields of papers citing papers by Bernhard Egger
This network shows the impact of papers produced by Bernhard Egger. 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 Bernhard Egger. The network helps show where Bernhard Egger may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernhard Egger, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 82 | |
| 2 | 2018 | 45 | |
| 3 | 2021 | 32 | |
| 4 | 2016 | 28 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 25 | |
| 7 | 2022 | 20 | |
| 8 | 2024 | 19 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2017 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2015 | 7 | |
| 16 | Natural Color Concept: A Systematic Approach to Visual Shade Selection | 2003 | 7 |
| 17 | 2024 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 3 |
About Bernhard Egger
Bernhard Egger is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Social Psychology and Signal Processing, having authored 27 papers that have together received 387 indexed citations. Recurring topics across this work include Face recognition and analysis (13 papers), Generative Adversarial Networks and Image Synthesis (7 papers), 3D Shape Modeling and Analysis (6 papers), Advanced Vision and Imaging (5 papers), Face and Expression Recognition (4 papers), Mental Health via Writing (2 papers), Optical measurement and interference techniques (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Computer Graphics and Computer-Aided Design (20 citations), Health Informatics (5 citations), Computational Mechanics (64 citations) and Signal Processing (31 citations). Bernhard Egger has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Thomas Vetter, Andreas Morel-Forster, Adam Kortylewski, Sandro Schönborn, Thomas M. Gerig, Le Chang, Doris Y. Tsao, Norbert Strobel, Andreas Maier and Markus Kowarschik. Their work appears in journals such as International Journal of Computer Vision, The Visual Computer, Computer Vision and Image Understanding, Current Biology and BMC Psychiatry.
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.