Peter Peer
Impact in
- Signal Processing top 1%
- Biometric Identification and Security
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Digital Media Forensic Detection
Papers in
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- Biometric Identification and Security 42
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- Face recognition and analysis 38
- Face and Expression Recognition 12
- Generative Adversarial Networks and Image Synthesis 10
- Video Surveillance and Tracking Methods 10
- Advanced Vision and Imaging 8
Peter Peer
91 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 106
- Signal Processing 702
- Computer Vision and Pattern Recognition 1.3k
- Human-Computer Interaction 173
- Media Technology 98
- Information Systems 155
Countries citing papers authored by Peter Peer
This map shows the geographic impact of Peter Peer'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 Peer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Peer more than expected).
Fields of papers citing papers by Peter Peer
This network shows the impact of papers produced by Peter Peer. 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 Peer. The network helps show where Peter Peer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Peer, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 33 | |
| 14 | 2020 | 3 | |
| 15 | 2018 | 40 | |
| 16 | 2017 | 23 | |
| 17 | A computer vision based system for a rehabilitation of a human hand | 2013 | 4 |
| 18 | CVL OCR DB, an annotated image database of text in natural scenes, and its usability | 2011 | 4 |
| 19 | 2009 | 0 | |
| 20 | Computer vision in contemporary art (introduction to the special session) | 2008 | 1 |
About Peter Peer
Peter Peer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Human-Computer Interaction, Geology and Ophthalmology, having authored 103 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biometric Identification and Security (42 papers), Face recognition and analysis (38 papers), Face and Expression Recognition (12 papers), Generative Adversarial Networks and Image Synthesis (10 papers), Video Surveillance and Tracking Methods (10 papers), Retinal Imaging and Analysis (8 papers), Color Science and Applications (8 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Signal Processing (702 citations), Computer Vision and Pattern Recognition (1.3k citations), Human-Computer Interaction (173 citations), Media Technology (98 citations) and Information Systems (155 citations). Peter Peer has collaborated with scholars based in Slovenia, Germany and Spain. Frequent co-authors include Vitomir Štruc, Franc Solina, Jure Kovač, Žiga Emeršič, Blaž Meden, Peter Rot, Simon Dobrišek, Naser Damer, Philipp Terhörst and Arjan Kuijper. Their work appears in journals such as IEEE Access, Sensors, Neural Computing and Applications, Image and Vision Computing and Alexandria Engineering Journal.
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.