Peter Peer

3.1k total citations
103 papers, 1.7k citations indexed

About

Peter Peer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Peter Peer has authored 103 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Vision and Pattern Recognition, 45 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Peter Peer's work include Biometric Identification and Security (42 papers), Face recognition and analysis (38 papers) and Face and Expression Recognition (12 papers). Peter Peer is often cited by papers focused on Biometric Identification and Security (42 papers), Face recognition and analysis (38 papers) and Face and Expression Recognition (12 papers). Peter Peer collaborates with scholars based in Slovenia, Germany and Spain. Peter Peer's co-authors include Vitomir Štruc, Franc Solina, Jure Kovač, Žiga Emeršič, Blaž Meden, Peter Rot, Simon Dobrišek, Naser Damer, Philipp Terhörst and Walter J. Scheirer and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Computer Vision.

In The Last Decade

Peter Peer

91 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Peer Slovenia 22 1.3k 702 173 155 155 103 1.7k
Zhaoqiang Xia China 19 977 0.7× 486 0.7× 97 0.6× 174 1.1× 315 2.0× 92 1.5k
Daniel Riccio Italy 22 1.4k 1.1× 969 1.4× 158 0.9× 389 2.5× 251 1.6× 69 2.0k
Eric Sung Singapore 18 803 0.6× 325 0.5× 251 1.5× 104 0.7× 256 1.7× 74 1.7k
Jian-Gang Wang Singapore 19 758 0.6× 341 0.5× 159 0.9× 76 0.5× 135 0.9× 71 1.3k
Unsang Park South Korea 24 1.7k 1.3× 1.0k 1.5× 87 0.5× 280 1.8× 175 1.1× 63 2.2k
Vitomir Štruc Slovenia 24 1.5k 1.2× 1.0k 1.5× 65 0.4× 196 1.3× 328 2.1× 116 2.1k
Lale Akarun Türkiye 24 1.3k 1.0× 452 0.6× 432 2.5× 67 0.4× 192 1.2× 151 1.9k
G. de Haan Netherlands 19 1.3k 1.0× 803 1.1× 59 0.3× 20 0.1× 117 0.8× 96 2.0k
Adams Wai‐Kin Kong Singapore 20 1.5k 1.2× 1.6k 2.2× 58 0.3× 534 3.4× 231 1.5× 88 2.3k
Khoa Luu United States 19 1.1k 0.9× 259 0.4× 131 0.8× 39 0.3× 412 2.7× 94 1.7k

Countries citing papers authored by Peter Peer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Peter Peer

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Peer. A scholar is included among the top collaborators of Peter Peer 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 Peer. Peter Peer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Štruc, Vitomir, et al.. (2025). Robust cross-dataset deepfake detection with multitask self-supervised learning. ICT Express. 11(5). 858–862. 1 indexed citations
2.
Štruc, Vitomir, et al.. (2024). GazeNet: A lightweight multitask sclera feature extractor. Alexandria Engineering Journal. 112. 661–671.
3.
Jain, Deepak Kumar, et al.. (2024). DiCTI: Diffusion-based Clothing Designer via Text-guided Input. 1–9. 1 indexed citations
4.
Emeršič, Žiga, et al.. (2024). Introductory Computer Vision Teaching Materials for VET Education. 61–70.
5.
Peer, Peter, et al.. (2024). Recent Advances in Synthesis and Interaction of Speech, Text, and Vision. Electronics. 13(9). 1726–1726. 9 indexed citations
6.
Peer, Peter, et al.. (2023). Efficient ear alignment using a two‐stack hourglass network. IET Biometrics. 12(2). 77–90. 1 indexed citations
7.
Haraksim, Rudolf, et al.. (2023). Probabilistic Fingermark Quality Assessment with Quality Region Localisation. Sensors. 23(8). 4006–4006. 3 indexed citations
8.
Peer, Peter, et al.. (2023). ChildNet: Structural Kinship Face Synthesis Model With Appearance Control Mechanisms. IEEE Access. 11. 49971–49991.
9.
Kasprowski, Paweł, et al.. (2023). Person-Specific Gaze Estimation from Low-Quality Webcam Images. Sensors. 23(8). 4138–4138. 8 indexed citations
10.
Peer, Peter, et al.. (2022). C-VTON: Context-Driven Image-Based Virtual Try-On Network. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2203–2212. 33 indexed citations
11.
Peer, Peter, et al.. (2022). Reconstructing Superquadrics from Intensity and Color Images. Sensors. 22(14). 5332–5332. 3 indexed citations
12.
Štruc, Vitomir, et al.. (2020). Learning to Predict Superquadric Parameters From Depth Images With Explicit and Implicit Supervision. IEEE Access. 9. 1087–1102. 3 indexed citations
13.
Meden, Blaž, et al.. (2018). End-to-End Iris Segmentation Using U-Net. 1–6. 45 indexed citations
14.
Emeršič, Žiga, et al.. (2018). Convolutional encoder–decoder networks for pixel‐wise ear detection and segmentation. IET Biometrics. 7(3). 175–184. 36 indexed citations
15.
Emeršič, Žiga & Peter Peer. (2015). Toolbox for ear biometric recognition evaluation. 1–6. 5 indexed citations
16.
Emeršič, Žiga & Peter Peer. (2015). Ear biometric database in the wild. 27–32. 8 indexed citations
17.
Peer, Peter, et al.. (2013). A computer vision based system for a rehabilitation of a human hand. Periodicum Biologorum. 115(4). 535–544. 4 indexed citations
18.
Peer, Peter, et al.. (2011). CVL OCR DB, an annotated image database of text in natural scenes, and its usability. Repository of the University of Ljubljana (University of Ljubljana). 2(41). 150–154. 4 indexed citations
19.
20.
Peer, Peter, et al.. (2008). Computer vision in contemporary art (introduction to the special session). International Symposium ELMAR. 2. 471–474. 1 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.

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