Christophe Guyeux
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
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- Genomics and Phylogenetic Studies 19
- Fractal and DNA sequence analysis 9
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- Chaos-based Image/Signal Encryption 31
- Advanced Steganography and Watermarking Techniques 10
- Co-authors
- Jacques M. Bahi (37 shared papers)Didier Hocquet (8 shared papers)Xavier Bertrand (7 shared papers)Jean-François Couchot (23 shared papers)Benoı̂t Valot (3 shared papers)Abdallah Makhoul (22 shared papers)Mohammed Bakiri (5 shared papers)Pascal Cholley (4 shared papers)
In The Last Decade
Christophe Guyeux
123 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 146
- Molecular Medicine 422
- Applied Microbiology and Biotechnology 79
- Endocrinology 153
- Computer Vision and Pattern Recognition 323
- Horticulture 15
Countries citing papers authored by Christophe Guyeux
This map shows the geographic impact of Christophe Guyeux'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 Christophe Guyeux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Guyeux more than expected).
Fields of papers citing papers by Christophe Guyeux
This network shows the impact of papers produced by Christophe Guyeux. 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 Christophe Guyeux. The network helps show where Christophe Guyeux may publish in the future.
Co-authors
The 25 scholars most cited alongside Christophe Guyeux, 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 147 | |
| 2 | 2014 | 136 | |
| 3 | 2015 | 88 | |
| 4 | 2018 | 67 | |
| 5 | 2015 | 58 | |
| 6 | 2018 | 47 | |
| 7 | 2015 | 44 | |
| 8 | 2014 | 39 | |
| 9 | 2021 | 37 | |
| 10 | 2016 | 36 | |
| 11 | 2015 | 29 | |
| 12 | 2014 | 29 | |
| 13 | 2019 | 28 | |
| 14 | 2020 | 26 | |
| 15 | 2014 | 24 | |
| 16 | 2018 | 23 | |
| 17 | 2010 | 22 | |
| 18 | 2014 | 22 | |
| 19 | 2020 | 20 | |
| 20 | 2024 | 19 |
About Christophe Guyeux
Christophe Guyeux is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 137 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (31 papers), Genomics and Phylogenetic Studies (19 papers), Energy Efficient Wireless Sensor Networks (16 papers), Cellular Automata and Applications (15 papers), Fire Detection and Safety Systems (10 papers), Tuberculosis Research and Epidemiology (10 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Fractal and DNA sequence analysis (9 papers). The work is most often cited by research in Molecular Medicine (422 citations), Applied Microbiology and Biotechnology (79 citations), Endocrinology (153 citations), Computer Vision and Pattern Recognition (323 citations) and Horticulture (15 citations). Christophe Guyeux has collaborated with scholars based in France, Lebanon and China. Frequent co-authors include Jacques M. Bahi, Didier Hocquet, Xavier Bertrand, Jean-François Couchot, Benoı̂t Valot, Abdallah Makhoul, Mohammed Bakiri, Pascal Cholley, Mourad Hakem and Qianxue Wang. Their work appears in journals such as International Journal of Sensor Networks, International Journal of Bifurcation and Chaos, PLoS ONE, Scientific Reports and Tuberculosis.
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.