Frédéric Lafitte
Impact in
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- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Single-cell and spatial transcriptomics
- Genomics and Chromatin Dynamics
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- Computational Drug Discovery Methods
Papers in
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- Cryptographic Implementations and Security 7
- Coding theory and cryptography 5
- Cryptography and Data Security 4
- Internet Traffic Analysis and Secure E-voting 3
- Privacy-Preserving Technologies in Data 2
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- Advanced Malware Detection Techniques 3
- Co-authors
- Gianluca Bontempi (2 shared papers)Patrick E. Meyer (2 shared papers)Kevin Kontos (1 shared paper)Jorge Nakahara (1 shared paper)Olivier Markowitch (2 shared papers)Olivier Markowitch (1 shared paper)Gaël P.J. Denys (1 shared paper)Fabrice Teletchea (1 shared paper)
In The Last Decade
Frédéric Lafitte
13 papers receiving 705 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 593
- Computational Theory and Mathematics 50
- Artificial Intelligence 89
- Biophysics 11
- Genetics 48
Countries citing papers authored by Frédéric Lafitte
This map shows the geographic impact of Frédéric Lafitte'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 Frédéric Lafitte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Lafitte more than expected).
Fields of papers citing papers by Frédéric Lafitte
This network shows the impact of papers produced by Frédéric Lafitte. 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 Frédéric Lafitte. The network helps show where Frédéric Lafitte may publish in the future.
Co-authors
The 8 scholars most cited alongside Frédéric Lafitte, 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 | 2008 | 370 | |
| 2 | 2007 | 299 | |
| 3 | 2014 | 16 | |
| 4 | 2011 | 6 | |
| 5 | 2014 | 6 | |
| 6 | 2013 | 5 | |
| 7 | 2014 | 5 | |
| 8 | 2018 | 3 | |
| 9 | Coercion-Freeness in E-voting via Multi-party Designated Verifier Schemes | 2012 | 2 |
| 10 | 2013 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2013 | 0 | |
| 15 | 2024 | 0 |
About Frédéric Lafitte
Frédéric Lafitte is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Molecular Biology and Information Systems, having authored 15 papers that have together received 717 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (7 papers), Coding theory and cryptography (5 papers), Cryptography and Data Security (4 papers), Advanced Malware Detection Techniques (3 papers), Chaos-based Image/Signal Encryption (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Molecular Biology (593 citations), Computational Theory and Mathematics (50 citations), Artificial Intelligence (89 citations), Biophysics (11 citations) and Genetics (48 citations). Frédéric Lafitte has collaborated with scholars based in Belgium and France. Frequent co-authors include Gianluca Bontempi, Patrick E. Meyer, Kevin Kontos, Jorge Nakahara, Olivier Markowitch, Olivier Markowitch, Gaël P.J. Denys and Fabrice Teletchea. Their work appears in journals such as Journal of Information Security and Applications, IET Information Security, BMC Bioinformatics, The R Journal and Information Processing Letters.
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.