Patrick Danès

830 citations
41 papers · 425 indexed · h-index 12

Impact in

Papers in

Patrick Danès

39 papers receiving 411 citations

Peers

Patrick Danès
Comparison fields: 5 of 57
  • Signal Processing 185
  • Control and Systems Engineering 110
  • Computer Vision and Pattern Recognition 91
  • Computational Mechanics 62
  • Developmental Biology 6
Replace F. Asano with:
F. Asano Japan
Iván Meza Mexico
Kevin Arcas France
Arun Kumar India
J. Ben-Arie United States
K. Lebart United Kingdom
Anthony Griffin New Zealand
Ismail Jouny United States
Carlo Drioli Italy
Kelly Fitz United States
Patrick Danès relative to F. Asano Japan F. Asano's profile →
Citations per field
00.5×1.5×2.4×
F. Asano · 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-authorship network

The 14 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
#Work
1 20240
2 20241
3 20202
4 20177
5 201511
6 20135
7 20139
8 201216
9 20104
10 20101
11 20091
12 20097
13 200810
14 20070
15 200711
16 200710
17 200615
18 20069
19 20065
20 20053

About Patrick Danès

Patrick Danès is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Biophysics and Artificial Intelligence, having authored 41 papers that have together received 425 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Advanced Vision and Imaging (12 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), Direction-of-Arrival Estimation Techniques (4 papers) and Acoustic Wave Phenomena Research (4 papers). The work is most often cited by research in Signal Processing (185 citations), Control and Systems Engineering (110 citations), Computer Vision and Pattern Recognition (91 citations), Computational Mechanics (62 citations) and Developmental Biology (6 citations). Patrick Danès has collaborated with scholars based in France, Brazil and Switzerland. Frequent co-authors include Sylvain Argentieri, Philippe Souères, Daniel Coutinho, Alexandre Trofino, Minyue Fu, Frédéric Lerasle, Ludovic Brèthes, J Bonnal, François Royer and Ivan Marković. Their work appears in journals such as Microwave and Optical Technology Letters, Machine Vision and Applications, International Journal of Robust and Nonlinear Control, Animal Biotelemetry and European Journal of Control.

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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