Damien Petit

24 papers receiving 330 citations

Peers

Damien Petit
Comparison fields: 5 of 53
  • Human-Computer Interaction 109
  • Control and Systems Engineering 160
  • Cognitive Neuroscience 107
  • Social Psychology 85
  • Industrial and Manufacturing Engineering 34
Replace Alessandro Roncone with:
Alessandro Roncone United States
Shervin Javdani United States
Celal Savur United States
Mark Lee United Kingdom
Brian T. Gleeson United States
Abdeldjallil Naceri Germany
Ali Shafti United Kingdom
Leon Bodenhagen Denmark
Rachel Holladay United States
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Citations per field
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Citations per year

Countries citing papers authored by Damien Petit

Since Specialization
Citations

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

Fields of papers citing papers by Damien Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Damien Petit, 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 Damien Petit Line = papers co-authored together Damien Petit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020100
2 201743
3 201630
4 201726
5 201723
6 201523
7 201513
8 20169
9 20199
10 20128
11 20217
12 20147
13 20197
14 20186
15 20196
16 20225
17 20204
18 20233
19 20193
20 20172

About Damien Petit

Damien Petit is a scholar working on Control and Systems Engineering, Social Psychology, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 27 papers that have together received 338 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (17 papers), Social Robot Interaction and HRI (5 papers), Teleoperation and Haptic Systems (5 papers), Action Observation and Synchronization (5 papers), Robotics and Sensor-Based Localization (5 papers), Soft Robotics and Applications (4 papers), Virtual Reality Applications and Impacts (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Human-Computer Interaction (109 citations), Control and Systems Engineering (160 citations), Cognitive Neuroscience (107 citations), Social Psychology (85 citations) and Industrial and Manufacturing Engineering (34 citations). Damien Petit has collaborated with scholars based in Japan and France. Frequent co-authors include Abderrahmane Kheddar, Kensuke Harada, Gowrishankar Ganesh, Laura Aymerich-Franch, Ixchel G. Ramírez-Alpizar, Takamitsu Matsubara, Weiwei Wan, Kazuyuki Nagata, Pierre Gergondet and Natsuki Yamanobe. Their work appears in journals such as Advanced Robotics, Robotics, CAAI Transactions on Intelligence Technology, IEEE Access and Consciousness and Cognition.

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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