Peter Rot

577 total citations
12 papers, 310 citations indexed

About

Peter Rot is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Peter Rot has authored 12 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Peter Rot's work include Biometric Identification and Security (10 papers), Face recognition and analysis (6 papers) and Retinal Imaging and Analysis (4 papers). Peter Rot is often cited by papers focused on Biometric Identification and Security (10 papers), Face recognition and analysis (6 papers) and Retinal Imaging and Analysis (4 papers). Peter Rot collaborates with scholars based in Slovenia, Germany and Australia. Peter Rot's co-authors include Vitomir Štruc, Peter Peer, Naser Damer, Philipp Terhörst, Žiga Emeršič, Arjan Kuijper, Walter J. Scheirer, Arun Ross, Blaž Meden and Abhijit Das and has published in prestigious journals such as IEEE Access, IEEE Transactions on Information Forensics and Security and Neural Computing and Applications.

In The Last Decade

Peter Rot

11 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Rot Slovenia	7	199	180	69	45	45	12	310
Caiyong Wang China	8	137 0.7×	158 0.9×	34 0.5×	44 1.0×	28 0.6×	24	264
M. Aurangzeb Khan Pakistan	9	284 1.4×	109 0.6×	116 1.7×	66 1.5×	66 1.5×	37	411
Ricardo Santos Portugal	5	210 1.1×	290 1.6×	33 0.5×	107 2.4×	22 0.5×	10	393
Sílvio Filipe Portugal	4	244 1.2×	292 1.6×	34 0.5×	108 2.4×	16 0.4×	6	411
Kangrok Oh South Korea	8	112 0.6×	80 0.4×	142 2.1×	9 0.2×	31 0.7×	17	269
Raghavender Jillela United States	8	423 2.1×	526 2.9×	37 0.5×	165 3.7×	19 0.4×	9	598
Hyeon Chang Lee South Korea	9	185 0.9×	318 1.8×	20 0.3×	78 1.7×	19 0.4×	10	373
G. Fahmy Egypt	6	138 0.7×	53 0.3×	41 0.6×	27 0.6×	40 0.9×	23	269
Arun Ross United States	5	374 1.9×	496 2.8×	22 0.3×	213 4.7×	23 0.5×	5	571
Kiran B. Raja Norway	12	305 1.5×	396 2.2×	17 0.2×	181 4.0×	22 0.5×	31	474

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 of co-authors of Peter Rot

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Rot. A scholar is included among the top collaborators of Peter Rot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Rot. Peter Rot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Rot, Peter, et al.. (2024). W-TDL: Window-Based Temporal Deepfake Localization. 24–29. 1 indexed citations

Rot, Peter, Philipp Terhörst, Peter Peer, & Vitomir Štruc. (2024). ASPECD: Adaptable Soft-Biometric Privacy-Enhancement Using Centroid Decoding for Face Verification. 1–11.

Rot, Peter, Klemen Grm, Peter Peer, & Vitomir Štruc. (2023). PrivacyProber: Assessment and Detection of Soft–Biometric Privacy–Enhancing Techniques. IEEE Transactions on Dependable and Secure Computing. 21(4). 2869–2887. 4 indexed citations

Meden, Blaž, Peter Rot, Philipp Terhörst, et al.. (2021). Privacy–Enhancing Face Biometrics: A Comprehensive Survey. IEEE Transactions on Information Forensics and Security. 16. 4147–4183. 113 indexed citations

Terhörst, Philipp, Marco Huber, Naser Damer, et al.. (2020). Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 215–222. 5 indexed citations

Rot, Peter, et al.. (2020). Learning privacy-enhancing face representations through feature disentanglement. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 495–502. 31 indexed citations

Rot, Peter, et al.. (2020). A comprehensive investigation into sclera biometrics: a novel dataset and performance study. Neural Computing and Applications. 32(24). 17941–17955. 35 indexed citations

Terhörst, Philipp, Naser Damer, Peter Rot, et al.. (2020). PE-MIU: A Training-Free Privacy-Enhancing Face Recognition Approach Based on Minimum Information Units. IEEE Access. 8. 93635–93647. 24 indexed citations

Rot, Peter, et al.. (2019). Deep Periocular Recognition: A Case Study. 11. 21–26. 4 indexed citations

10.

Rot, Peter, Žiga Emeršič, Vitomir Štruc, & Peter Peer. (2018). Deep Multi-class Eye Segmentation for Ocular Biometrics. 1–8. 40 indexed citations

11.

Das, Abhijit, Umapada Pal, Miguel A. Ferrer, et al.. (2018). SSBC 2018: Sclera Segmentation Benchmarking Competition. Acceda (Universidad de Las Palmas de Gran Canaria). 303–308. 23 indexed citations

12.

Das, Abhijit, Umapada Pal, Miguel A. Ferrer, et al.. (2017). SSERBC 2017: Sclera segmentation and eye recognition benchmarking competition. Acceda (Universidad de Las Palmas de Gran Canaria). 742–747. 30 indexed citations

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.

Explore authors with similar magnitude of impact