Thomas Guyet

797 citations
24 papers · 292 · h-index 9

Impact in

Papers in

Thomas Guyet

22 papers receiving 285 citations

Peers

Thomas Guyet
Comparison fields: 5 of 75
  • Signal Processing 93
  • Computer Networks and Communications 81
  • Artificial Intelligence 96
  • Information Systems 65
  • Ecology 44
Replace Fangju Wang with:
Fangju Wang Canada
Cai Fu China
Robert Jeansoulin France
Kevin Shaw United States
Varun Mithal United States
Fuling Bian China
Athena Stassopoulou Cyprus
Michail Vaitis Greece
Antonio Maratea Italy
Sherri K. Harms United States
Thomas Guyet relative to Fangju Wang Canada Fangju Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas Guyet

Since Specialization
Citations

This map shows the geographic impact of Thomas Guyet'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 Thomas Guyet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Guyet more than expected).

Fields of papers citing papers by Thomas Guyet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Guyet. 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 Thomas Guyet. The network helps show where Thomas Guyet may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Guyet, 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 Thomas Guyet Line = papers co-authored together Thomas Guyet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201473
2 202131
3 200728
4 201528
5 202227
6 200823
7 201321
8 201815
9
Extracting temporal patterns from interval-based sequences
201115
10 20217
11 20175
12 20224
13 20094
14 20202
15 20222
16
Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams.
20091
17 20231
18 20231
19 20251
20 20151

About Thomas Guyet

Thomas Guyet is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Information Systems and Environmental Engineering, having authored 24 papers that have together received 292 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (6 papers), Data Mining Algorithms and Applications (4 papers), Network Security and Intrusion Detection (4 papers), Data Management and Algorithms (3 papers), Advanced Database Systems and Queries (2 papers), Agriculture and Rural Development Research (2 papers), Anomaly Detection Techniques and Applications (2 papers) and French Urban and Social Studies (2 papers). The work is most often cited by research in Signal Processing (93 citations), Computer Networks and Communications (81 citations), Artificial Intelligence (96 citations), Information Systems (65 citations) and Ecology (44 citations). Thomas Guyet has collaborated with scholars based in France, Switzerland and Ireland. Frequent co-authors include René Quiniou, Marie-Odile Cordier, Florent Masséglia, Wei Wang, Xiangliang Zhang, Michel Dojat, Catherine Garbay, Romain Tavenard, Simon Malinowski and André Happe. Their work appears in journals such as Journal of Biomedical Informatics, International Journal of Applied Earth Observation and Geoinformation, Data Mining and Knowledge Discovery, European Journal of Cancer and Knowledge-Based Systems.

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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