Laurent Imbert
Impact in
- Toxicology top 1%
- Forensic Toxicology and Drug Analysis
- Information Systems top 1%
- Cryptography and Residue Arithmetic
Papers in
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- Cryptography and Residue Arithmetic 45
-
- Coding theory and cryptography 36
- Cryptography and Data Security 17
- Cryptographic Implementations and Security 10
- Co-authors
- Jean-Claude Bajard (16 shared papers)Vassil S. Dimitrov (14 shared papers)Pradeep Kumar Mishra (4 shared papers)GRAHAM A. JULLIEN (11 shared papers)Christophe Doche (2 shared papers)Sylvain Dulaurent (7 shared papers)Jean‐Michel Gaulier (7 shared papers)Gérard Lachâtre (6 shared papers)
In The Last Decade
Laurent Imbert
80 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Toxicology 133
- Information Systems 734
- Artificial Intelligence 784
- Computational Theory and Mathematics 236
- Hardware and Architecture 78
Countries citing papers authored by Laurent Imbert
This map shows the geographic impact of Laurent Imbert'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 Laurent Imbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Imbert more than expected).
Fields of papers citing papers by Laurent Imbert
This network shows the impact of papers produced by Laurent Imbert. 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 Laurent Imbert. The network helps show where Laurent Imbert may publish in the future.
Co-authors
The 25 scholars most cited alongside Laurent Imbert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 192 | |
| 2 | 2005 | 99 | |
| 3 | 2021 | 80 | |
| 4 | 2004 | 64 | |
| 5 | 2013 | 64 | |
| 6 | 2006 | 59 | |
| 7 | 2011 | 48 | |
| 8 | 2007 | 46 | |
| 9 | 2006 | 46 | |
| 10 | 2014 | 44 | |
| 11 | 2000 | 42 | |
| 12 | 2012 | 39 | |
| 13 | 2014 | 39 | |
| 14 | 2004 | 34 | |
| 15 | 2007 | 30 | |
| 16 | 2014 | 30 | |
| 17 | 2010 | 28 | |
| 18 | 2018 | 27 | |
| 19 | 2012 | 25 | |
| 20 | 2004 | 24 |
About Laurent Imbert
Laurent Imbert is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Toxicology and Geometry and Topology, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (45 papers), Coding theory and cryptography (36 papers), Cryptography and Data Security (17 papers), Chaos-based Image/Signal Encryption (11 papers), Cryptographic Implementations and Security (10 papers), Numerical Methods and Algorithms (9 papers), Forensic Toxicology and Drug Analysis (8 papers) and Algebraic Geometry and Number Theory (8 papers). The work is most often cited by research in Toxicology (133 citations), Information Systems (734 citations), Artificial Intelligence (784 citations), Computational Theory and Mathematics (236 citations) and Hardware and Architecture (78 citations). Laurent Imbert has collaborated with scholars based in France, Canada and China. Frequent co-authors include Jean-Claude Bajard, Vassil S. Dimitrov, Pradeep Kumar Mishra, GRAHAM A. JULLIEN, Christophe Doche, Sylvain Dulaurent, Jean‐Michel Gaulier, Gérard Lachâtre, Thomas Plantard and Fabien Lamoureux. Their work appears in journals such as IEEE Transactions on Computers, Forensic Science International, Advances in Mathematics of Communications, Journal of Analytical Toxicology and Lecture notes in computer science.
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.