Frédéric Guyard
Impact in
- Signal Processing top 2%
- Time Series Analysis and Forecasting
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
Papers in
-
- Internet Traffic Analysis and Secure E-voting 2
- Anomaly Detection Techniques and Applications 2
- AI in cancer detection 2
-
- Image and Signal Denoising Methods 2
- Image and Video Quality Assessment 2
- Co-authors
- María A. Zuluaga (2 shared papers)Pietro Michiardi (2 shared papers)Michel Barlaud (4 shared papers)Laure Gossec (1 shared paper)Anna Moltó (1 shared paper)Didier Leroy (1 shared paper)Jérémie Sellam (1 shared paper)Violaine Foltz (1 shared paper)
In The Last Decade
Frédéric Guyard
13 papers receiving 680 citations
Frédéric Guyard's Hit Papers
Peers
Comparison fields: 5 of 83
- Signal Processing 285
- Artificial Intelligence 503
- Computer Networks and Communications 347
- Health Informatics 7
- Control and Systems Engineering 118
Countries citing papers authored by Frédéric Guyard
This map shows the geographic impact of Frédéric Guyard'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 Guyard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Guyard more than expected).
Fields of papers citing papers by Frédéric Guyard
This network shows the impact of papers produced by Frédéric Guyard. 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 Guyard. The network helps show where Frédéric Guyard may publish in the future.
Co-authors
The 24 scholars most cited alongside Frédéric Guyard, 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 | USAD Hit paper breakdown → | 2020 | 539 |
| 2 | 2018 | 95 | |
| 3 | 2006 | 10 | |
| 4 | 2021 | 10 | |
| 5 | Detection and Comparison of RTP and Skype Traffic and Performance | 2006 | 9 |
| 6 | 2009 | 8 | |
| 7 | 2013 | 7 | |
| 8 | 1997 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2014 | 3 | |
| 12 | 2022 | 1 | |
| 13 | 2023 | 1 |
About Frédéric Guyard
Frédéric Guyard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Statistical and Nonlinear Physics and Signal Processing, having authored 13 papers that have together received 697 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Anomaly Detection Techniques and Applications (2 papers), Image and Video Quality Assessment (2 papers), Complex Network Analysis Techniques (2 papers), Network Traffic and Congestion Control (2 papers), Time Series Analysis and Forecasting (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Signal Processing (285 citations), Artificial Intelligence (503 citations), Computer Networks and Communications (347 citations), Health Informatics (7 citations) and Control and Systems Engineering (118 citations). Frédéric Guyard has collaborated with scholars based in France, Sweden and Austria. Frequent co-authors include María A. Zuluaga, Pietro Michiardi, Michel Barlaud, Laure Gossec, Anna Moltó, Didier Leroy, Jérémie Sellam, Violaine Foltz, Stéphane Mitrovic and Christophe Hudry. Their work appears in journals such as Arthritis Care & Research, European Radiology, Pattern Recognition, Annals of Telecommunications and Globecom.
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.