Tomáš Denemark

2.1k total citations · 1 hit paper
13 papers, 1.2k citations indexed

About

Tomáš Denemark is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tomáš Denemark has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Tomáš Denemark's work include Advanced Steganography and Watermarking Techniques (13 papers), Chaos-based Image/Signal Encryption (12 papers) and Digital Media Forensic Detection (11 papers). Tomáš Denemark is often cited by papers focused on Advanced Steganography and Watermarking Techniques (13 papers), Chaos-based Image/Signal Encryption (12 papers) and Digital Media Forensic Detection (11 papers). Tomáš Denemark collaborates with scholars based in United States and France. Tomáš Denemark's co-authors include Jessica Fridrich, Vojtěch Holub, Mehdi Boroumand, Pedro Comesaña and Patrick Bas and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and The Open Repository - Binghamton (Binghamton University).

In The Last Decade

Tomáš Denemark

12 papers receiving 1.1k citations

Hit Papers

Universal distortion function for steganography in an arb... 2014 2026 2018 2022 2014 200 400 600

Peers

Tomáš Denemark
Tomáš Denemark
Citations per year, relative to Tomáš Denemark Tomáš Denemark (= 1×) peers Zichi Wang

Countries citing papers authored by Tomáš Denemark

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Denemark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Denemark

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

All Works

13 of 13 papers shown
1.
Denemark, Tomáš. (2018). Side-Information For Steganography Design And Detection. The Open Repository - Binghamton (Binghamton University).
2.
Denemark, Tomáš, Patrick Bas, & Jessica Fridrich. (2018). Natural Steganography in JPEG Compressed Images. Electronic Imaging. 30(7). 316–1. 16 indexed citations
3.
Denemark, Tomáš & Jessica Fridrich. (2017). Model Based Steganography with Precover. Electronic Imaging. 29(7). 56–66. 20 indexed citations
4.
Denemark, Tomáš & Jessica Fridrich. (2017). Steganography With Multiple JPEG Images of the Same Scene. IEEE Transactions on Information Forensics and Security. 12(10). 2308–2319. 48 indexed citations
5.
Denemark, Tomáš & Jessica Fridrich. (2017). Steganography with two JPEGs of the same scene. 2117–2121. 8 indexed citations
6.
Denemark, Tomáš, Jessica Fridrich, & Pedro Comesaña. (2016). Improving Selection-Channel-Aware Steganalysis Features. Electronic Imaging. 28(8). 1–8. 43 indexed citations
7.
Denemark, Tomáš, Mehdi Boroumand, & Jessica Fridrich. (2016). Steganalysis Features for Content-Adaptive JPEG Steganography. IEEE Transactions on Information Forensics and Security. 11(8). 1736–1746. 126 indexed citations
8.
Denemark, Tomáš & Jessica Fridrich. (2015). Side-informed steganography with additive distortion. 1–6. 29 indexed citations
9.
Denemark, Tomáš & Jessica Fridrich. (2015). Improving Steganographic Security by Synchronizing the Selection Channel. 5–14. 80 indexed citations
10.
Holub, Vojtěch, Jessica Fridrich, & Tomáš Denemark. (2014). Universal distortion function for steganography in an arbitrary domain. 2014(1). 738 indexed citations breakdown →
11.
Denemark, Tomáš, Jessica Fridrich, & Vojtěch Holub. (2014). Further study on the security of S-UNIWARD. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9028. 902805–902805. 37 indexed citations
12.
Denemark, Tomáš & Jessica Fridrich. (2014). Detection of content adaptive LSB matching: a game theory approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9028. 902804–902804. 5 indexed citations
13.
Holub, Vojtěch, Jessica Fridrich, & Tomáš Denemark. (2013). Random projections of residuals as an alternative to co-occurrences in steganalysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8665. 86650L–86650L. 24 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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