Frédéric Ros
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Advanced Steganography and Watermarking Techniques
- Face and Expression Recognition
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
Papers in
-
- Advanced Steganography and Watermarking Techniques 14
- Face and Expression Recognition 12
- Digital Media Forensic Detection 12
- Chaos-based Image/Signal Encryption 11
-
- Advanced Clustering Algorithms Research 13
- Metaheuristic Optimization Algorithms Research 8
- Co-authors
- Serge Guillaume (21 shared papers)Rabia Riad (25 shared papers)Jacques R. Chrétien (8 shared papers)Marco Pintore (11 shared papers)Djamel Chikouche (5 shared papers)Rachid Harba (19 shared papers)Mohamed El Hajji (12 shared papers)Hassan Douzi (12 shared papers)
In The Last Decade
Frédéric Ros
62 papers receiving 779 citations
Frédéric Ros's Hit Papers
Peers
Comparison fields: 5 of 118
- Signal Processing 125
- Computer Vision and Pattern Recognition 237
- Artificial Intelligence 346
- Computational Theory and Mathematics 93
- Statistical and Nonlinear Physics 62
Countries citing papers authored by Frédéric Ros
This map shows the geographic impact of Frédéric Ros'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 Ros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Ros more than expected).
Fields of papers citing papers by Frédéric Ros
This network shows the impact of papers produced by Frédéric Ros. 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 Ros. The network helps show where Frédéric Ros may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Ros, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PDBI: A partitioning Davies-Bouldin index for clustering evaluation Hit paper breakdown → | 2023 | 106 |
| 2 | 2019 | 46 | |
| 3 | 2002 | 39 | |
| 4 | 2014 | 37 | |
| 5 | 2014 | 30 | |
| 6 | 2007 | 28 | |
| 7 | 2016 | 28 | |
| 8 | 2013 | 27 | |
| 9 | 2006 | 26 | |
| 10 | 2007 | 24 | |
| 11 | 2018 | 23 | |
| 12 | 2016 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 2018 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 20 | |
| 17 | 2022 | 18 | |
| 18 | 1998 | 17 | |
| 19 | 1995 | 15 | |
| 20 | 2016 | 15 |
About Frédéric Ros
Frédéric Ros is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Analytical Chemistry, Signal Processing and Statistical and Nonlinear Physics, having authored 69 papers that have together received 805 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (14 papers), Advanced Clustering Algorithms Research (13 papers), Advanced Chemical Sensor Technologies (12 papers), Face and Expression Recognition (12 papers), Digital Media Forensic Detection (12 papers), Chaos-based Image/Signal Encryption (11 papers), Spectroscopy and Chemometric Analyses (10 papers) and Metaheuristic Optimization Algorithms Research (8 papers). The work is most often cited by research in Signal Processing (125 citations), Computer Vision and Pattern Recognition (237 citations), Artificial Intelligence (346 citations), Computational Theory and Mathematics (93 citations) and Statistical and Nonlinear Physics (62 citations). Frédéric Ros has collaborated with scholars based in France, Morocco and Algeria. Frequent co-authors include Serge Guillaume, Rabia Riad, Jacques R. Chrétien, Marco Pintore, Djamel Chikouche, Rachid Harba, Mohamed El Hajji, Hassan Douzi, Gilles Rabatel and Karine Audouze. Their work appears in journals such as Expert Systems with Applications, Chemometrics and Intelligent Laboratory Systems, Knowledge-Based Systems, Journal of Chemometrics and Multimedia Tools and Applications.
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.