Pierre Borgnat

4.0k citations
114 papers · 2.4k indexed · h-index 26

Pierre Borgnat

107 papers receiving 2.3k citations

Peers

Pierre Borgnat
Comparison fields: 5 of 123
  • Transportation 360
  • Signal Processing 439
  • Computer Networks and Communications 690
  • Statistical and Nonlinear Physics 357
  • Artificial Intelligence 750
Replace Mark Coates with:
Mark Coates Canada
Lingjiang Kong China
Paolo Braca Belgium
David I Shuman United States
Tianbao Yang United States
Sunil K. Narang United States
James C. Spall United States
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David K. Hammond United States
Jun Zhang China
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Citations per year

Countries citing papers authored by Pierre Borgnat

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Borgnat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202325
4 20225
5 20220
6 202113
7 20201
8 202015
9 20203
10 20202
11 20202
12 20199
13 20179
14 201611
15
Retrieving Dynamic Origin-Destination Matrices from Bluetooth Data
20146
16
Live E! Sensor Network: Correlations in Time and Space
20092
17
Spatial analysis of dynamic movements of Vélo'v, Lyon's shared bicycle program
200915
18
Sur un test temps-frequence de stationnarite
20072
19 200715
20 200313

About Pierre Borgnat

Pierre Borgnat is a scholar working on Statistical and Nonlinear Physics, Signal Processing, Transportation, Computational Mathematics and Artificial Intelligence, having authored 114 papers that have together received 2.4k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (30 papers), Network Security and Intrusion Detection (14 papers), Human Mobility and Location-Based Analysis (13 papers), Advanced Graph Neural Networks (12 papers), Complex Systems and Time Series Analysis (12 papers), Blind Source Separation Techniques (10 papers), Anomaly Detection Techniques and Applications (10 papers) and Internet Traffic Analysis and Secure E-voting (9 papers). The work is most often cited by research in Transportation (360 citations), Signal Processing (439 citations), Computer Networks and Communications (690 citations), Statistical and Nonlinear Physics (357 citations) and Artificial Intelligence (750 citations). Pierre Borgnat has collaborated with scholars based in France, Japan and Switzerland. Frequent co-authors include Patrick Flandrin, Patrice Abry, Kensuke Fukuda, Nicolas Tremblay, Romain Fontugne, Guillaume Dewaele, Céline Robardet, Éric Fleury, Jean‐Baptiste Rouquier and Antoine Scherrer. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE/ACM Transactions on Networking, IEEE Transactions on Signal and Information Processing over Networks and Signal Processing.

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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