Frédéric Guyard

1.1k citations
13 papers · 655 indexed · 1 hit paper · h-index 7

Impact in

Papers in

Frédéric Guyard

13 papers receiving 635 citations

Hit Papers

USAD 2020 · 500 citations
5002020202620222024100200300400500

Peers

Frédéric Guyard
Comparison fields: 5 of 84
  • Signal Processing 268
  • Computer Networks and Communications 334
  • Artificial Intelligence 469
  • Health Informatics 10
  • Control and Systems Engineering 114
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Shilin Qiu China
Hyeonseung Im South Korea
Enrique Puertas Spain
Ankush Singla United States
Siyamalan Manivannan Sri Lanka
Juan E. Rubio Spain
Johnny S. Wong United States
Dimitris Mitropoulos Greece
Mohamed Maher Ben Ismail Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Guyard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Frédéric Guyard Line = papers co-authored together Frédéric Guyard links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
USAD
Hit paper breakdown →
2020500
2 201894
3
Detection and Comparison of RTP and Skype Traffic and Performance
20069
4 20219
5 20069
6 20098
7 20137
8 19976
9 20234
10 20214
11 20143
12 20231
13 20221

About Frédéric Guyard

Frédéric Guyard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Health Information Management, Signal Processing and Statistical and Nonlinear Physics, having authored 13 papers that have together received 655 indexed citations. Recurring topics across this work include AI in cancer detection (2 papers), Network Traffic and Congestion Control (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Complex Network Analysis Techniques (2 papers), Image and Video Quality Assessment (2 papers), Time Series Analysis and Forecasting (2 papers), Image and Signal Denoising Methods (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (268 citations), Computer Networks and Communications (334 citations), Artificial Intelligence (469 citations), Health Informatics (10 citations) and Control and Systems Engineering (114 citations). Frédéric Guyard has collaborated with scholars based in France, Sweden and Croatia. Frequent co-authors include Pietro Michiardi, María A. Zuluaga, Michel Barlaud, Violaine Foltz, Stéphane Mitrovic, H. Servy, Laure Gossec, Bruno Fautrel, Jérémie Sellam and Frédérique Gandjbakhch. Their work appears in journals such as Arthritis Care & Research, Pattern Recognition, European Radiology, Annals of Telecommunications and PIK - Praxis der Informationsverarbeitung und Kommunikation.

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.

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