F. Cuppens
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Artificial Intelligence top 10%
- Logic, Reasoning, and Knowledge
- Security and Verification in Computing
- Semantic Web and Ontologies
- Bayesian Modeling and Causal Inference
Papers in
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- Advanced Steganography and Watermarking Techniques 3
- Chaos-based Image/Signal Encryption 3
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- Security and Verification in Computing 2
- Cryptography and Data Security 1
- Bayesian Modeling and Causal Inference 1
- Logic, Reasoning, and Knowledge 1
- Co-authors
- Gouenou CoatrieuxC. RouxPan WeiAlexandre MiègeRobert DemolombeH. PradePhilippe BesnardAlessandro Saffiotti
- Journals
- Information Systems (1 paper)International Journal of Intelligent Systems (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)PubMed (2 papers)PolyPublie (École Polytechnique de Montréal) (2 papers)
- Partner nations
- FranceUnited KingdomSpain
In The Last Decade
F. Cuppens
7 papers receiving 356 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 208
- Artificial Intelligence 144
- Signal Processing 33
- Computer Networks and Communications 55
- Information Systems 54
Countries citing papers authored by F. Cuppens
This map shows the geographic impact of F. Cuppens'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 F. Cuppens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Cuppens more than expected).
Fields of papers citing papers by F. Cuppens
This network shows the impact of papers produced by F. Cuppens. 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 F. Cuppens. The network helps show where F. Cuppens may publish in the future.
Co-authorship network
The 24 scholars most cited alongside F. Cuppens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 187 | |
| 2 | 2012 | 4 | |
| 3 | 2010 | 12 | |
| 4 | 2005 | 25 | |
| 5 | 2004 | 58 | |
| 6 | 2001 | 85 | |
| 7 | 1989 | 26 |
About F. Cuppens
F. Cuppens is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Management Science and Operations Research and Sociology and Political Science, having authored 7 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (3 papers), Chaos-based Image/Signal Encryption (3 papers), Access Control and Trust (2 papers), Security and Verification in Computing (2 papers), Cryptography and Data Security (1 paper), Service-Oriented Architecture and Web Services (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (208 citations), Artificial Intelligence (144 citations), Signal Processing (33 citations), Computer Networks and Communications (55 citations) and Information Systems (54 citations). F. Cuppens has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Gouenou Coatrieux, C. Roux, Pan Wei, Alexandre Miège, Robert Demolombe, H. Prade, Philippe Besnard, Alessandro Saffiotti, Michel Grabisch and Anthony Hunter. Their work appears in journals such as Information Systems, International Journal of Intelligent Systems, IEEE Transactions on Information Forensics and Security, PubMed and PolyPublie (École Polytechnique de Montréal).
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.