Ludovic Righetti

6.4k citations
137 papers · 4.9k · h-index 39

Impact in

Papers in

Ludovic Righetti

131 papers receiving 4.8k citations

Peers

Ludovic Righetti
Comparison fields: 5 of 108
  • Biomedical Engineering 2.8k
  • Control and Systems Engineering 1.6k
  • Artificial Intelligence 756
  • Cognitive Neuroscience 298
  • Social Psychology 174
Replace Jun Nakanishi with:
Jun Nakanishi Japan
Eiichi Yoshida Japan
Majid Nili Ahmadabadi Iran
Jochen J. Steil Germany
Matthew M. Williamson United States
Quang‐Cuong Pham Singapore
Stelian Coros Switzerland
Nancy S. Pollard United States
Tony Pipe United Kingdom
Yuval Tassa United States
Ludovic Righetti relative to Jun Nakanishi Japan Jun Nakanishi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ludovic Righetti

Since Specialization
Citations

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

Fields of papers citing papers by Ludovic Righetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006275
2 2006232
3 2007222
4 2015202
5 2008201
6 2011182
7 2013159
8 2011126
9 2011119
10 2014116
11 2020115
12 201393
13 200692
14 201490
15 201388
16 201286
17 200984
18 200881
19 201281
20 202081

About Ludovic Righetti

Ludovic Righetti is a scholar working on Biomedical Engineering, Control and Systems Engineering, Artificial Intelligence, Cognitive Neuroscience and Safety Research, having authored 137 papers that have together received 4.9k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (78 papers), Robot Manipulation and Learning (19 papers), Reinforcement Learning in Robotics (17 papers), Advanced Control Systems Optimization (13 papers), Motor Control and Adaptation (8 papers), Robotic Mechanisms and Dynamics (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers) and Ethics and Social Impacts of AI (5 papers). The work is most often cited by research in Biomedical Engineering (2.8k citations), Control and Systems Engineering (1.6k citations), Artificial Intelligence (756 citations), Cognitive Neuroscience (298 citations) and Social Psychology (174 citations). Ludovic Righetti has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Auke Jan Ijspeert, Stefan Schaal, Jonas Buchli, Mrinal Kalakrishnan, Alexander Herzog, Peter Pástor, Majid Khadiv, Michael Mistry, Nicholas Rotella and Felix Grimminger. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Robotics & Automation Magazine, IEEE Transactions on Robotics, Autonomous Robots and Physica D Nonlinear Phenomena.

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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