Sylvain Argentieri

685 citations
28 papers · 313 indexed · h-index 10

Impact in

Papers in

Sylvain Argentieri

27 papers receiving 297 citations

Peers

Sylvain Argentieri
Comparison fields: 5 of 58
  • Signal Processing 209
  • Cognitive Neuroscience 69
  • Computational Mechanics 66
  • Oceanography 32
  • Developmental Biology 4
Replace Fakheredine Keyrouz with:
Fakheredine Keyrouz Germany
Antoine Deleforge France
Masahito Togami Japan
José Ramón Beltrán Spain
Liming Shi China
Maoshen Jia China
Heinrich W. Löllmann Germany
Carl Schissler United States
Srđan Kitić France
Sylvain Argentieri relative to Fakheredine Keyrouz Germany Fakheredine Keyrouz's profile →
Citations per field
00.5×5.3×
Fakheredine Keyrouz · 1×
Citations per year

Countries citing papers authored by Sylvain Argentieri

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Argentieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20220
3 202224
4 20201
5 20193
6 201811
7 20183
8 20166
9 20152
10 20131
11 20135
12 20139
13 201216
14 201211
15 20125
16 20104
17 20102
18 20097
19 200615
20 20053

About Sylvain Argentieri

Sylvain Argentieri is a scholar working on Signal Processing, Cognitive Neuroscience, Computational Mechanics, Control and Systems Engineering and Artificial Intelligence, having authored 28 papers that have together received 313 indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Indoor and Outdoor Localization Technologies (6 papers), Advanced Adaptive Filtering Techniques (6 papers), Acoustic Wave Phenomena Research (5 papers), Robot Manipulation and Learning (4 papers), Embodied and Extended Cognition (4 papers), Hearing Loss and Rehabilitation (4 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (209 citations), Cognitive Neuroscience (69 citations), Computational Mechanics (66 citations), Oceanography (32 citations) and Developmental Biology (4 citations). Sylvain Argentieri has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Patrick Danès, Philippe Souères, Bruno Gas, Zefeng Wang, Nicolas Obin, Agnès Aubouy, Gabriel Boitel‐Aullen, Emmanuel Maisonhaute, Axel Röebel and J. Kevin Ο’Regan. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, Robotics and Autonomous Systems, Computer Speech & Language, HardwareX and Frontiers in Neurorobotics.

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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