Peter Peer
Impact in
- Signal Processing top 0.5%
- 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 46
- Generative Adversarial Networks and Image Synthesis 13
- Face and Expression Recognition 12
- Advanced Vision and Imaging 12
- Advanced Image and Video Retrieval Techniques 11
- Video Surveillance and Tracking Methods 11
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- Biometric Identification and Security 50
- Co-authors
- Vitomir Štruc (61 shared papers)Franc Solina (21 shared papers)Žiga Emeršič (35 shared papers)Jure Kovač (9 shared papers)Blaž Meden (16 shared papers)Peter Rot (13 shared papers)Dejan Štepec (4 shared papers)Simon Dobrišek (4 shared papers)
In The Last Decade
Peter Peer
119 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 118
- Signal Processing 995
- Computer Vision and Pattern Recognition 1.8k
- Human-Computer Interaction 209
- Media Technology 131
- Ophthalmology 92
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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 429 | |
| 2 | 2017 | 209 | |
| 3 | 2021 | 141 | |
| 4 | 2021 | 86 | |
| 5 | COLOR-BASED FACE DETECTION IN THE "15 SECONDS OF FAME" ART INSTALLATION | 2003 | 84 |
| 6 | 2017 | 79 | |
| 7 | 2018 | 66 | |
| 8 | 2017 | 58 | |
| 9 | 2018 | 54 | |
| 10 | 2018 | 52 | |
| 11 | 2018 | 46 | |
| 12 | 2020 | 44 | |
| 13 | 2022 | 41 | |
| 14 | 2019 | 40 | |
| 15 | 2018 | 39 | |
| 16 | 2017 | 38 | |
| 17 | 2020 | 36 | |
| 18 | 2014 | 32 | |
| 19 | An Automatic Human Face Detection Method | 1999 | 30 |
| 20 | 2022 | 30 |
About Peter Peer
Peter Peer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Radiology, Nuclear Medicine and Imaging, Ophthalmology and Geology, having authored 135 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biometric Identification and Security (50 papers), Face recognition and analysis (46 papers), Generative Adversarial Networks and Image Synthesis (13 papers), Retinal Imaging and Analysis (12 papers), Face and Expression Recognition (12 papers), Advanced Vision and Imaging (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Signal Processing (995 citations), Computer Vision and Pattern Recognition (1.8k citations), Human-Computer Interaction (209 citations), Media Technology (131 citations) and Ophthalmology (92 citations). Peter Peer has collaborated with scholars based in Slovenia, Germany and China. Frequent co-authors include Vitomir Štruc, Franc Solina, Žiga Emeršič, Jure Kovač, Blaž Meden, Peter Rot, Dejan Štepec, Simon Dobrišek, Naser Damer and Philipp Terhörst. Their work appears in journals such as IEEE Access, Neural Computing and Applications, Sensors, 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.