Tomáš Pevný

7.4k total citations · 2 hit papers
59 papers, 3.1k citations indexed

About

Tomáš Pevný is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Tomáš Pevný has authored 59 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 19 papers in Computer Networks and Communications. Recurrent topics in Tomáš Pevný's work include Advanced Steganography and Watermarking Techniques (32 papers), Digital Media Forensic Detection (26 papers) and Internet Traffic Analysis and Secure E-voting (22 papers). Tomáš Pevný is often cited by papers focused on Advanced Steganography and Watermarking Techniques (32 papers), Digital Media Forensic Detection (26 papers) and Internet Traffic Analysis and Secure E-voting (22 papers). Tomáš Pevný collaborates with scholars based in Czechia, United States and United Kingdom. Tomáš Pevný's co-authors include Jessica Fridrich, Patrick Bas, Andrew D. Ker, Jan Kodovský, Martin Grill, Martin Řehák, John Klein, Paul Prasse, Tobias Scheffer and Martin Holeňa and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Machine Learning.

In The Last Decade

Tomáš Pevný

59 papers receiving 2.9k citations

Hit Papers

Steganalysis by Subtractive Pixel Adjacency Matrix 2009 2026 2014 2020 2010 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomáš Pevný Czechia 22 2.7k 785 274 257 182 59 3.1k
Guangjie Liu China 18 899 0.3× 406 0.5× 281 1.0× 192 0.7× 291 1.6× 136 1.4k
Benedetta Tondi Italy 18 749 0.3× 498 0.6× 130 0.5× 179 0.7× 152 0.8× 71 1.1k
Fenlin Liu China 21 1.3k 0.5× 350 0.4× 199 0.7× 185 0.7× 101 0.6× 172 1.7k
Xiangyang Luo China 18 683 0.3× 652 0.8× 140 0.5× 157 0.6× 141 0.8× 91 1.3k
Jiangqun Ni China 26 3.0k 1.1× 346 0.4× 32 0.1× 142 0.6× 386 2.1× 91 3.1k
Yuanman Li Macao 18 956 0.4× 297 0.4× 37 0.1× 65 0.3× 148 0.8× 54 1.2k
Lakshmanan Nataraj United States 14 861 0.3× 598 0.8× 761 2.8× 1.0k 4.0× 212 1.2× 23 1.8k
Miroslav Goljan United States 38 6.9k 2.6× 512 0.7× 55 0.2× 479 1.9× 1.0k 5.5× 62 7.1k
Arup Kumar Pal India 21 909 0.3× 196 0.2× 339 1.2× 144 0.6× 191 1.0× 91 1.4k
Deguang Kong United States 16 517 0.2× 467 0.6× 321 1.2× 395 1.5× 79 0.4× 44 1.2k

Countries citing papers authored by Tomáš Pevný

Since Specialization
Citations

This map shows the geographic impact of Tomáš Pevný'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 Tomáš Pevný with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Pevný more than expected).

Fields of papers citing papers by Tomáš Pevný

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomáš Pevný. 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 Tomáš Pevný. The network helps show where Tomáš Pevný may publish in the future.

Co-authorship network of co-authors of Tomáš Pevný

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Pevný. A scholar is included among the top collaborators of Tomáš Pevný 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 Tomáš Pevný. Tomáš Pevný 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.
Pevný, Tomáš, et al.. (2024). On the Economics of Adversarial Machine Learning. IEEE Transactions on Information Forensics and Security. 19. 4670–4685. 1 indexed citations
2.
Skvara, Hans, Václav Šmídl, & Tomáš Pevný. (2024). Anomaly detection in multifactor data. Neural Computing and Applications. 36(34). 21561–21580. 1 indexed citations
3.
Bas, Patrick, et al.. (2023). Leveraging Data Geometry to Mitigate CSM in Steganalysis. 3 indexed citations
4.
Skvara, Hans, et al.. (2022). Semi-supervised deep networks for plasma state identification. Plasma Physics and Controlled Fusion. 64(12). 125004–125004. 2 indexed citations
5.
Bas, Patrick, et al.. (2022). Backpack: A Backpropagable Adversarial Embedding Scheme. IEEE Transactions on Information Forensics and Security. 17. 3539–3554. 7 indexed citations
6.
Bas, Patrick, et al.. (2020). Explicit Optimization of min max Steganographic Game. IEEE Transactions on Information Forensics and Security. 16. 812–823. 49 indexed citations
7.
Pevný, Tomáš, et al.. (2020). Anomaly explanation with random forests. Expert Systems with Applications. 149. 113187–113187. 23 indexed citations
8.
Stiborek, Jan, Tomáš Pevný, & Martin Řehák. (2018). Probabilistic analysis of dynamic malware traces. Computers & Security. 74. 221–239. 14 indexed citations
9.
Prasse, Paul, et al.. (2017). Malware Detection by Analysing Network Traffic with Neural Networks. 205–210. 33 indexed citations
10.
Grill, Martin, Tomáš Pevný, & Martin Řehák. (2016). Reducing false positives of network anomaly detection by local adaptive multivariate smoothing. Journal of Computer and System Sciences. 83(1). 43–57. 37 indexed citations
11.
Pevný, Tomáš, et al.. (2016). Malicons: Detecting Payload in Favicons. Electronic Imaging. 28(8). 1–9. 3 indexed citations
12.
Grill, Martin, et al.. (2016). Passive NAT detection using HTTP access logs. 1–6. 6 indexed citations
13.
Pevný, Tomáš, et al.. (2015). Unsupervised detection of malware in persistent web traffic. 1757–1761. 9 indexed citations
14.
Ker, Andrew D. & Tomáš Pevný. (2014). The Steganographer is the Outlier: Realistic Large-Scale Steganalysis. IEEE Transactions on Information Forensics and Security. 9(9). 1424–1435. 46 indexed citations
15.
Pevný, Tomáš. (2011). Detecting messages of unknown length. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 19 indexed citations
16.
Kodovský, Jan, Tomáš Pevný, & Jessica Fridrich. (2010). Modern steganalysis can detect YASS. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7541. 754102–754102. 59 indexed citations
17.
Pevný, Tomáš & Jessica Fridrich. (2008). Estimation of primary quantization matrix for steganalysis of double-compressed JPEG images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6819. 681911–681911. 26 indexed citations
18.
Pevný, Tomáš & Jessica Fridrich. (2007). Merging Markov and DCT features for multi-class JPEG steganalysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6505. 650503–650503. 343 indexed citations
19.
Pevný, Tomáš & Jessica Fridrich. (2006). Multi-class blind steganalysis for JPEG images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6072. 60720O–60720O. 32 indexed citations
20.
MacLeod, Michael C., et al.. (1987). Stabilization of a reactive, electophilic carcinogen, benzo[a]pyrene diol epoxide, by mammalian cells. Chemico-Biological Interactions. 63(3). 279–289. 11 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

Rankless by CCL
2026