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
Papers in
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- Face recognition and analysis 42
- Face and Expression Recognition 12
- Advanced Image and Video Retrieval Techniques 11
- Generative Adversarial Networks and Image Synthesis 11
- Advanced Vision and Imaging 11
- Video Surveillance and Tracking Methods 10
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- Biometric Identification and Security 45
- Co-authors
- Vitomir Štruc (54 shared papers)Franc Solina (20 shared papers)Jure Kovač (9 shared papers)Žiga Emeršič (33 shared papers)Blaž Meden (15 shared papers)Peter Rot (12 shared papers)Simon Dobrišek (4 shared papers)Naser Damer (7 shared papers)
In The Last Decade
Peter Peer
105 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 110
- Signal Processing 855
- Computer Vision and Pattern Recognition 1.6k
- Human-Computer Interaction 200
- Media Technology 106
- Ophthalmology 74
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-authors
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
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 423 | |
| 2 | 2017 | 204 | |
| 3 | 2021 | 128 | |
| 4 | COLOR-BASED FACE DETECTION IN THE "15 SECONDS OF FAME" ART INSTALLATION | 2003 | 81 |
| 5 | 2021 | 80 | |
| 6 | 2018 | 61 | |
| 7 | 2017 | 54 | |
| 8 | 2018 | 49 | |
| 9 | 2018 | 47 | |
| 10 | 2018 | 44 | |
| 11 | 2018 | 40 | |
| 12 | 2020 | 40 | |
| 13 | 2019 | 37 | |
| 14 | 2022 | 37 | |
| 15 | 2020 | 34 | |
| 16 | 2014 | 33 | |
| 17 | 2017 | 33 | |
| 18 | An Automatic Human Face Detection Method | 1999 | 30 |
| 19 | 2004 | 26 | |
| 20 | 2017 | 25 |
About Peter Peer
Peter Peer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics, having authored 118 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biometric Identification and Security (45 papers), Face recognition and analysis (42 papers), Face and Expression Recognition (12 papers), Advanced Image and Video Retrieval Techniques (11 papers), Generative Adversarial Networks and Image Synthesis (11 papers), Advanced Vision and Imaging (11 papers), Video Surveillance and Tracking Methods (10 papers) and Retinal Imaging and Analysis (9 papers). The work is most often cited by research in Signal Processing (855 citations), Computer Vision and Pattern Recognition (1.6k citations), Human-Computer Interaction (200 citations), Media Technology (106 citations) and Ophthalmology (74 citations). Peter Peer has collaborated with scholars based in Slovenia, Spain and Germany. 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, Advances in computer vision and pattern recognition and Image and Vision Computing.
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.