Peter Rot
Impact in
- Signal Processing top 5%
- Biometric Identification and Security
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- Face recognition and analysis
- Face and Expression Recognition
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Biometric Identification and Security 12
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- Face recognition and analysis 9
- Face and Expression Recognition 3
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Vitomir Štruc (14 shared papers)Peter Peer (13 shared papers)Žiga Emeršič (5 shared papers)Naser Damer (4 shared papers)Philipp Terhörst (5 shared papers)Arjan Kuijper (3 shared papers)Blaž Meden (2 shared papers)Arun A. Ross (1 shared paper)
In The Last Decade
Peter Rot
14 papers receiving 439 citations
Peers
Comparison fields: 5 of 49
- Signal Processing 240
- Computer Vision and Pattern Recognition 290
- Ophthalmology 65
- Radiology, Nuclear Medicine and Imaging 117
- Human-Computer Interaction 30
Countries citing papers authored by Peter Rot
This map shows the geographic impact of Peter Rot'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 Peter Rot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Rot more than expected).
Fields of papers citing papers by Peter Rot
This network shows the impact of papers produced by Peter Rot. 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 Peter Rot. The network helps show where Peter Rot may publish in the future.
Co-authors
The 19 scholars most cited alongside Peter Rot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 141 | |
| 2 | 2018 | 52 | |
| 3 | 2020 | 44 | |
| 4 | 2019 | 40 | |
| 5 | 2017 | 38 | |
| 6 | 2020 | 36 | |
| 7 | 2020 | 30 | |
| 8 | 2018 | 28 | |
| 9 | 2022 | 17 | |
| 10 | 2023 | 9 | |
| 11 | 2019 | 5 | |
| 12 | Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies | 2020 | 5 |
| 13 | 2024 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 |
About Peter Rot
Peter Rot is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Ophthalmology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 16 papers that have together received 448 indexed citations. Recurring topics across this work include Biometric Identification and Security (12 papers), Face recognition and analysis (9 papers), Retinal Imaging and Analysis (5 papers), Face and Expression Recognition (3 papers), Glaucoma and retinal disorders (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Ocular Disorders and Treatments (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Signal Processing (240 citations), Computer Vision and Pattern Recognition (290 citations), Ophthalmology (65 citations), Radiology, Nuclear Medicine and Imaging (117 citations) and Human-Computer Interaction (30 citations). Peter Rot has collaborated with scholars based in Slovenia, Germany and Spain. Frequent co-authors include Vitomir Štruc, Peter Peer, Žiga Emeršič, Naser Damer, Philipp Terhörst, Arjan Kuijper, Blaž Meden, Arun A. Ross, Walter J. Scheirer and Klemen Grm. Their work appears in journals such as Advances in computer vision and pattern recognition, Neural Computing and Applications, IEEE Transactions on Dependable and Secure Computing, IEEE Access and IEEE Transactions on Information Forensics and Security.
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.