Jan Kodovský

5.0k total citations · 2 hit papers
19 papers, 3.3k citations indexed

About

Jan Kodovský is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Jan Kodovský has authored 19 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in General Health Professions. Recurrent topics in Jan Kodovský's work include Advanced Steganography and Watermarking Techniques (18 papers), Digital Media Forensic Detection (16 papers) and Chaos-based Image/Signal Encryption (11 papers). Jan Kodovský is often cited by papers focused on Advanced Steganography and Watermarking Techniques (18 papers), Digital Media Forensic Detection (16 papers) and Chaos-based Image/Signal Encryption (11 papers). Jan Kodovský collaborates with scholars based in United States, Czechia and United Kingdom. Jan Kodovský's co-authors include Jessica Fridrich, Vojtěch Holub, Tomáš Pevný, Andrew D. Ker and Vahid Sedighi and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Jan Kodovský

19 papers receiving 3.1k citations

Hit Papers

Rich Models for Steganalysis of Digital Images 2011 2026 2016 2021 2012 2011 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rich Models for Steganalysis of Digital Images
    2012 1.4k citations Jessica Fridrich, Jan Kodovský IEEE Transactions on Information Forensics and Security profile →
  2. Ensemble Classifiers for Steganalysis of Digital Media
    2011 759 citations Jan Kodovský, Jessica Fridrich et al. IEEE Transactions on Information Forensics and Security profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Kodovský United States 16 3.2k 511 229 155 74 19 3.3k
Shunquan Tan China 21 2.0k 0.6× 345 0.7× 201 0.9× 104 0.7× 48 0.6× 66 2.1k
Rongrong Ni China 28 2.8k 0.9× 261 0.5× 385 1.7× 148 1.0× 107 1.4× 121 2.9k
Weiqi Luo China 25 2.6k 0.8× 294 0.6× 479 2.1× 169 1.1× 98 1.3× 67 2.7k
Vojtěch Holub United States 12 3.0k 0.9× 363 0.7× 123 0.5× 125 0.8× 47 0.6× 12 3.0k
Gwenaël Doërr France 15 1.2k 0.4× 109 0.2× 119 0.5× 183 1.2× 52 0.7× 65 1.2k
Martin Kutter Switzerland 12 2.3k 0.7× 108 0.2× 107 0.5× 238 1.5× 142 1.9× 19 2.3k
Pei-Yu Lin Taiwan 17 735 0.2× 153 0.3× 81 0.4× 54 0.3× 191 2.6× 57 884
Chunfang Yang China 19 1.1k 0.3× 196 0.4× 79 0.3× 75 0.5× 54 0.7× 94 1.2k

Countries citing papers authored by Jan Kodovský

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kodovský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Kodovský

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

All Works

19 of 19 papers shown
1.
Kodovský, Jan & Jessica Fridrich. (2014). Effect of Image Downsampling on Steganographic Security. IEEE Transactions on Information Forensics and Security. 9(5). 752–762. 20 indexed citations
2.
Kodovský, Jan, Vahid Sedighi, & Jessica Fridrich. (2014). Study of cover source mismatch in steganalysis and ways to mitigate its impact. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9028. 90280J–90280J. 48 indexed citations
3.
Kodovský, Jan & Jessica Fridrich. (2013). Quantitative steganalysis using rich models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8665. 86650O–86650O. 34 indexed citations
4.
Kodovský, Jan & Jessica Fridrich. (2013). Steganalysis in resized images. 6387. 2857–2861. 13 indexed citations
5.
Fridrich, Jessica & Jan Kodovský. (2013). Multivariate gaussian model for designing additive distortion for steganography. 2949–2953. 83 indexed citations
6.
Kodovský, Jan & Jessica Fridrich. (2012). Steganalysis of JPEG images using rich models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8303. 83030A–83030A. 213 indexed citations
7.
Kodovský, Jan. (2012). STEGANALYSIS OF DIGITAL IMAGES USING RICH IMAGE REPRESENTATIONS AND ENSEMBLE CLASSIFIERS. 1 indexed citations
8.
Fridrich, Jessica & Jan Kodovský. (2012). Rich Models for Steganalysis of Digital Images. IEEE Transactions on Information Forensics and Security. 7(3). 868–882. 1357 indexed citations breakdown →
9.
Kodovský, Jan & Jessica Fridrich. (2011). Steganalysis in high dimensions: fusing classifiers built on random subspaces. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7880. 78800L–78800L. 89 indexed citations
10.
Kodovský, Jan, Jessica Fridrich, & Vojtěch Holub. (2011). Ensemble Classifiers for Steganalysis of Digital Media. IEEE Transactions on Information Forensics and Security. 7(2). 432–444. 759 indexed citations breakdown →
11.
Kodovský, Jan, Jessica Fridrich, & Vojtěch Holub. (2011). On dangers of overtraining steganography to incomplete cover model. 7880. 69–76. 45 indexed citations
12.
Kodovský, Jan & Jessica Fridrich. (2010). Quantitative steganalysis of LSB embedding in JPEG domain. 187–198. 9 indexed citations
13.
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
14.
Kodovský, Jan & Jessica Fridrich. (2010). Quantitative Structural Steganalysis of Jsteg. IEEE Transactions on Information Forensics and Security. 5(4). 681–693. 25 indexed citations
15.
Kodovský, Jan & Jessica Fridrich. (2009). Calibration revisited. 63–74. 190 indexed citations
16.
Kodovský, Jan & Jessica Fridrich. (2008). Influence of embedding strategies on security of steganographic methods in the JPEG domain. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6819. 681902–681902. 28 indexed citations
17.
Kodovský, Jan & Jessica Fridrich. (2008). On completeness of feature spaces in blind steganalysis. 24 indexed citations
18.
Ker, Andrew D., Tomáš Pevný, Jan Kodovský, & Jessica Fridrich. (2008). The square root law of steganographic capacity. 107–116. 64 indexed citations
19.
Fridrich, Jessica, Tomáš Pevný, & Jan Kodovský. (2007). Statistically undetectable jpeg steganography. 3–3. 259 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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