Rémi Cogranne

3.4k total citations · 1 hit paper
49 papers, 1.2k citations indexed

About

Rémi Cogranne is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Rémi Cogranne has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Rémi Cogranne's work include Digital Media Forensic Detection (32 papers), Advanced Steganography and Watermarking Techniques (30 papers) and Chaos-based Image/Signal Encryption (18 papers). Rémi Cogranne is often cited by papers focused on Digital Media Forensic Detection (32 papers), Advanced Steganography and Watermarking Techniques (30 papers) and Chaos-based Image/Signal Encryption (18 papers). Rémi Cogranne collaborates with scholars based in France, United States and Vietnam. Rémi Cogranne's co-authors include Jessica Fridrich, Florent Retraint, Vahid Sedighi, Thanh Hai Thai, Patrick Bas, Eva Giboulot, Tong Qiao, Guillaume Doyen, Edgardo Montes de and Olivier Festor and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and IEEE Transactions on Image Processing.

In The Last Decade

Rémi Cogranne

45 papers receiving 1.2k citations

Hit Papers

Content-Adaptive Steganography by Minimizing Statistical ... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rémi Cogranne France 18 1.1k 139 135 92 64 49 1.2k
Tanfeng Sun China 20 1.1k 1.0× 354 2.5× 81 0.6× 89 1.0× 167 2.6× 92 1.2k
Xiaodan Li China 10 446 0.4× 287 2.1× 32 0.2× 43 0.5× 69 1.1× 32 663
Yong Feng China 13 199 0.2× 177 1.3× 96 0.7× 75 0.8× 35 0.5× 70 548
Peisong He China 16 604 0.6× 122 0.9× 37 0.3× 65 0.7× 227 3.5× 45 750
Gabriel Takacs United States 18 1.4k 1.3× 98 0.7× 94 0.7× 80 0.9× 39 0.6× 34 1.5k
H.-Y.M. Liao Taiwan 14 971 0.9× 83 0.6× 93 0.7× 25 0.3× 118 1.8× 26 1.0k
Bin Yan China 13 314 0.3× 110 0.8× 25 0.2× 39 0.4× 60 0.9× 60 484
Fayaz Ali Dharejo China 18 340 0.3× 100 0.7× 147 1.1× 82 0.9× 28 0.4× 58 654
Kefeng Fan China 12 176 0.2× 135 1.0× 61 0.5× 46 0.5× 43 0.7× 67 488

Countries citing papers authored by Rémi Cogranne

Since Specialization
Citations

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

Fields of papers citing papers by Rémi Cogranne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Cogranne

This figure shows the co-authorship network connecting the top 25 collaborators of Rémi Cogranne. A scholar is included among the top collaborators of Rémi Cogranne 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 Rémi Cogranne. Rémi Cogranne 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
2.
Cogranne, Rémi, et al.. (2025). Forensics Analysis of Residual Noise Texture in digital Images for Detection of Deepfake. SPIRE - Sciences Po Institutional REpository. 1–5. 1 indexed citations
3.
Cogranne, Rémi, et al.. (2024). Cover-source mismatch in steganalysis: systematic review. SHILAP Revista de lepidopterología. 2024(1). 3 indexed citations
4.
Cogranne, Rémi, et al.. (2024). Linking Intrinsic Difficulty and Regret to Properties of Multivariate Gaussians in Image Steganalysis. SPIRE - Sciences Po Institutional REpository. 31–39. 2 indexed citations
5.
Cogranne, Rémi, et al.. (2024). Toward Universal Detector for Synthesized Images by Estimating Generative AI Models. O2 - Repositori Institucional (Universitat Oberta de Catalunya). 1–6.
6.
Bas, Patrick, et al.. (2024). Statistical Correlation as a Forensic Feature to Mitigate the Cover-Source Mismatch. SPIRE - Sciences Po Institutional REpository. 87–94. 1 indexed citations
7.
Bas, Patrick, et al.. (2023). Analysis and Mitigation of the False Alarms of the Reverse JPEG Compatibility Attack. SPIRE - Sciences Po Institutional REpository. 9028. 59–66. 2 indexed citations
8.
Doyen, Guillaume, et al.. (2022). A Comprehensive Characterization of Threats Targeting Low-Latency Services: The Case of L4S. Journal of Network and Systems Management. 31(1). 4 indexed citations
9.
Giboulot, Eva, Patrick Bas, & Rémi Cogranne. (2022). Multivariate Side-Informed Gaussian Embedding Minimizing Statistical Detectability. IEEE Transactions on Information Forensics and Security. 17. 1841–1854. 12 indexed citations
10.
Nguyen, Tan N., Rémi Cogranne, Guillaume Doyen, et al.. (2019). Reliable Detection of Interest Flooding Attack in Real Deployment of Named Data Networking. IEEE Transactions on Information Forensics and Security. 14(9). 2470–2485. 35 indexed citations
11.
Cogranne, Rémi, et al.. (2017). Detecting Botclouds at Large Scale: A Decentralized and Robust Detection Method for Multi-Tenant Virtualized Environments. IEEE Transactions on Network and Service Management. 15(1). 68–82. 12 indexed citations
12.
Cogranne, Rémi, et al.. (2016). Fully automatic detection of anomalies on wheels surface using an adaptive accurate model and hypothesis testing theory. HAL (Le Centre pour la Communication Scientifique Directe). 508–512. 4 indexed citations
13.
Thai, Thanh Hai, Florent Retraint, & Rémi Cogranne. (2015). Camera model identification based on the generalized noise model in natural images. Digital Signal Processing. 48. 285–297. 45 indexed citations
14.
Cogranne, Rémi & Jessica Fridrich. (2015). Modeling and Extending the Ensemble Classifier for Steganalysis of Digital Images Using Hypothesis Testing Theory. IEEE Transactions on Information Forensics and Security. 10(12). 2627–2642. 39 indexed citations
15.
Thai, Thanh Hai, Florent Retraint, & Rémi Cogranne. (2015). Generalized signal-dependent noise model and parameter estimation for natural images. Signal Processing. 114. 164–170. 17 indexed citations
16.
Qiao, Tong, et al.. (2014). Statistical detection of Jsteg steganography using hypothesis testing theory. HAL (Le Centre pour la Communication Scientifique Directe). 5517–5521. 13 indexed citations
17.
Thai, Thanh Hai, Rémi Cogranne, & Florent Retraint. (2014). Statistical Model of Quantized DCT Coefficients: Application in the Steganalysis of Jsteg Algorithm. IEEE Transactions on Image Processing. 23(5). 1980–1993. 59 indexed citations
18.
Thai, Thanh Hai, Florent Retraint, & Rémi Cogranne. (2013). Statistical detection of data hidden in least significant bits of clipped images. Signal Processing. 98. 263–274. 12 indexed citations
19.
Thai, Thanh Hai, Rémi Cogranne, & Florent Retraint. (2013). Camera Model Identification Based on the Heteroscedastic Noise Model. IEEE Transactions on Image Processing. 23(1). 250–263. 77 indexed citations
20.
Cogranne, Rémi & Florent Retraint. (2013). Statistical detection of defects in radiographic images using an adaptive parametric model. Signal Processing. 96. 173–189. 27 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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