Peter Rot

577 citations
12 papers · 310 indexed · h-index 7

Impact in

Papers in

Peter Rot

11 papers receiving 305 citations

Peers

Peter Rot
Comparison fields: 5 of 43
  • Signal Processing 180
  • Computer Vision and Pattern Recognition 199
  • Ophthalmology 43
  • Human-Computer Interaction 22
  • Media Technology 26
Replace Caiyong Wang with:
Caiyong Wang China
M. Aurangzeb Khan Pakistan
Ricardo Santos Portugal
Sílvio Filipe Portugal
Hyeon Chang Lee South Korea
Raghavender Jillela United States
Kiran B. Raja Norway
Craig Belcher United States
Abhishek Gangwar India
Arun Ross United States
Peter Rot relative to Caiyong Wang China Caiyong Wang's profile →
Citations per field
00.5×5.7×
Caiyong Wang · 1×
Citations per year

Countries citing papers authored by Peter Rot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

The 18 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.

Border = papers with Peter Rot Line = papers co-authored together Peter Rot links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20241
2 20240
3 20234
4 2021113
5
Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies
20205
6 202031
7 202035
8 202024
9 20194
10 201840
11 201823
12 201730

About Peter Rot

Peter Rot is a scholar working on Signal Processing, Ophthalmology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 12 papers that have together received 310 indexed citations. Recurring topics across this work include Biometric Identification and Security (10 papers), Face recognition and analysis (6 papers), Retinal Imaging and Analysis (4 papers), Privacy-Preserving Technologies in Data (2 papers), Face and Expression Recognition (2 papers), Glaucoma and retinal disorders (2 papers), Retinal and Optic Conditions (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Signal Processing (180 citations), Computer Vision and Pattern Recognition (199 citations), Ophthalmology (43 citations), Human-Computer Interaction (22 citations) and Media Technology (26 citations). Peter Rot has collaborated with scholars based in Slovenia, Germany and Australia. Frequent co-authors include Vitomir Štruc, Peter Peer, Philipp Terhörst, Naser Damer, Arjan Kuijper, Žiga Emeršič, Walter J. Scheirer, Arun Ross, Blaž Meden and Umapada Pal. Their work appears in journals such as Neural Computing and Applications, IEEE Access, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

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.

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