Patrick Danès

42 papers receiving 475 citations

Peers

Patrick Danès
Comparison fields: 5 of 58
  • Signal Processing 216
  • Computer Vision and Pattern Recognition 113
  • Control and Systems Engineering 119
  • Biophysics 19
  • Computational Mechanics 69
Replace Kevin Arcas with:
Kevin Arcas France
J. Ben-Arie United States
Caleb Rascón Mexico
Alexandre Guérin France
Andrew Owens United States
F. Asano Japan
Saideh Ferdowsi United Kingdom
Robert L. Ewing United States
Udo Zölzer Germany
Felix Schill Switzerland
Patrick Danès relative to Kevin Arcas France Kevin Arcas's profile →
Citations per field
00.5×4.8×
Kevin Arcas · 1×
Citations per year

Countries citing papers authored by Patrick Danès

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Danès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Patrick Danès, 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 Patrick Danès Line = papers co-authored together Patrick Danès links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015113
2 200765
3 200617
4 201217
5 201017
6 200616
7 201315
8 201115
9 201014
10 200713
11 201713
12 200712
13 200811
14 201511
15 200611
16 201710
17 200810
18 20139
19 20038
20 20127

About Patrick Danès

Patrick Danès is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence and Computational Mechanics, having authored 44 papers that have together received 490 indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Advanced Vision and Imaging (13 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Advanced Adaptive Filtering Techniques (9 papers), Indoor and Outdoor Localization Technologies (7 papers), Video Surveillance and Tracking Methods (7 papers), Robotics and Sensor-Based Localization (4 papers) and Direction-of-Arrival Estimation Techniques (4 papers). The work is most often cited by research in Signal Processing (216 citations), Computer Vision and Pattern Recognition (113 citations), Control and Systems Engineering (119 citations), Biophysics (19 citations) and Computational Mechanics (69 citations). Patrick Danès has collaborated with scholars based in France, Brazil and Switzerland. Frequent co-authors include Sylvain Argentieri, Philippe Souères, Daniel Coutinho, Frédéric Lerasle, Minyue Fu, Alexandre Trofino, Ludovic Brèthes, J Bonnal, François Royer and Bruno Gas. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Lecture notes in control and information sciences, Microwave and Optical Technology Letters, Autonomous Robots and Computer Speech & Language.

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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