Michel Cozic

495 total citations
12 papers, 331 citations indexed

About

Michel Cozic is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Michel Cozic has authored 12 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Michel Cozic's work include Advanced Steganography and Watermarking Techniques (9 papers), Chaos-based Image/Signal Encryption (6 papers) and Digital Media Forensic Detection (5 papers). Michel Cozic is often cited by papers focused on Advanced Steganography and Watermarking Techniques (9 papers), Chaos-based Image/Signal Encryption (6 papers) and Digital Media Forensic Detection (5 papers). Michel Cozic collaborates with scholars based in France and China. Michel Cozic's co-authors include Gouenou Coatrieux, Dalel Bouslimi, Christian Roux, Alexandre Moreau–Gaudry, Mathieu Lamard, Gwenolé Quellec, Guy Cazuguel, Pan Wei, Catherine Quantin and François‐André Allaert and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Information Forensics and Security and Computer Methods and Programs in Biomedicine.

In The Last Decade

Michel Cozic

12 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Cozic France 8 273 106 42 27 20 12 331
Dalel Bouslimi France 10 322 1.2× 61 0.6× 9 0.2× 36 1.3× 30 1.5× 19 352
Mahbuba Begum Bangladesh 9 348 1.3× 91 0.9× 11 0.3× 35 1.3× 22 1.1× 18 426
Prema T. Akkasaligar India 10 191 0.7× 75 0.7× 37 0.9× 7 0.3× 8 0.4× 33 283
S. Thakur India 4 241 0.9× 48 0.5× 8 0.2× 29 1.1× 35 1.8× 4 280
Amrit Kumar Agrawal India 11 221 0.8× 69 0.7× 6 0.1× 41 1.5× 18 0.9× 32 301
Po-Whei Huang Taiwan 6 278 1.0× 58 0.5× 33 0.8× 34 1.3× 23 1.1× 11 359
Ryan G. Gomes United States 4 117 0.4× 163 1.5× 12 0.3× 20 0.7× 7 0.3× 4 230
S. K. Setua India 8 85 0.3× 48 0.5× 101 2.4× 14 0.5× 25 1.3× 34 239
Rahul Duggal United States 7 146 0.5× 139 1.3× 72 1.7× 28 1.0× 10 0.5× 10 203
Zhen Qin China 7 197 0.7× 106 1.0× 42 1.0× 12 0.4× 31 1.6× 21 313

Countries citing papers authored by Michel Cozic

Since Specialization
Citations

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

Fields of papers citing papers by Michel Cozic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Cozic

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

All Works

12 of 12 papers shown
1.
Coatrieux, Gouenou, et al.. (2020). Joint Watermarking-Encryption-JPEG-LS for Medical Image Reliability Control in Encrypted and Compressed Domains. IEEE Transactions on Information Forensics and Security. 15. 2556–2569. 61 indexed citations
2.
Wei, Pan, et al.. (2018). Imperceptible reversible watermarking of radiographic images based on quantum noise masking. Computer Methods and Programs in Biomedicine. 160. 119–128. 15 indexed citations
3.
Coatrieux, Gouenou, et al.. (2017). Joint Watermarking and Lossless JPEG-LS Compression for Medical Image Security. IRBM. 38(4). 198–206. 31 indexed citations
4.
Coatrieux, Gouenou, et al.. (2017). Joint watermarking and lossless JPEG-LS compression for medical image security. 16–21. 24 indexed citations
5.
Quellec, Gwenolé, Mathieu Lamard, Michel Cozic, Gouenou Coatrieux, & Guy Cazuguel. (2016). Multiple-Instance Learning for Anomaly Detection in Digital Mammography. IEEE Transactions on Medical Imaging. 35(7). 1604–1614. 61 indexed citations
6.
Bouslimi, Dalel, et al.. (2016). Watermarking of radiographic images based on quantum noise modulation. 116. 9–12. 1 indexed citations
7.
Bouslimi, Dalel, Gouenou Coatrieux, Michel Cozic, & Christian Roux. (2016). Data hiding in encrypted images based on predefined watermark embedding before encryption process. Signal Processing Image Communication. 47. 263–270. 14 indexed citations
8.
Bouslimi, Dalel, Gouenou Coatrieux, Catherine Quantin, et al.. (2015). A teleassistance protocol based on joint watermarking–encryption evidence for identification of liabilities in case of litigation. IRBM. 36(5). 279–286. 7 indexed citations
9.
Lamard, Mathieu, et al.. (2015). Multiple-instance learning for breast cancer detection in mammograms. PubMed. 2015. 7055–8. 6 indexed citations
10.
Bouslimi, Dalel, et al.. (2014). Secure Teleassistance towards endless medical litigations: Identification of liabilities through a protocol using Joint Watermarking-Encryption Evidences. Studies in health technology and informatics. 205. 745–9. 1 indexed citations
11.
Bouslimi, Dalel, Gouenou Coatrieux, Michel Cozic, & Christian Roux. (2014). Combination of watermarking and joint watermarking-decryption for reliability control and traceability of medical images. PubMed. 2014. 4495–4498. 4 indexed citations
12.
Bouslimi, Dalel, Gouenou Coatrieux, Michel Cozic, & Christian Roux. (2012). A Joint Encryption/Watermarking System for Verifying the Reliability of Medical Images. IEEE Transactions on Information Technology in Biomedicine. 16(5). 891–899. 106 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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