Nicolas Mansard

1.1k citations
10 papers · 457 indexed · h-index 6
Topics
Robot Manipulation and Learning (7 papers)Robotic Mechanisms and Dynamics (4 papers)Robotic Locomotion and Control (4 papers)
Journals
Communications of the ACMComputer Methods in Biomechanics & Biomedical EngineeringHAL (Le Centre pour la Communication Scientifique Directe)
Partner nations
FranceUnited StatesJapan

In The Last Decade

Nicolas Mansard

10 papers receiving 438 citations

Peers

Nicolas Mansard
Comparison fields: 5 of 53
  • Control and Systems Engineering 293
  • Biomedical Engineering 198
  • Computer Vision and Pattern Recognition 127
  • Artificial Intelligence 75
  • Automotive Engineering 47
Replace Emo Todorov with:
Emo Todorov United States
Shishir Kolathaya United States
Justin Carpentier France
Frank Permenter United States
Michael Posa United States
Garth Zeglin United States
Songhyok Ri China
Ömür Arslan United States
Danilo Caporale Italy
Changjiu Zhou Singapore
Nicolas Mansard relative to Emo Todorov United States Emo Todorov's profile →
Citations per field
00.5×1.5×
Emo Todorov · 1×
Citations per year

Countries citing papers authored by Nicolas Mansard

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Mansard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Mansard

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Mansard. A scholar is included among the top collaborators of Nicolas Mansard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Mansard. Nicolas Mansard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 2
3 16
4 134
5 6
6 2
7 251
8 3
9 28
10 14

About Nicolas Mansard

Nicolas Mansard is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 10 papers that have together received 457 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Robotic Mechanisms and Dynamics (4 papers) and Robotic Locomotion and Control (4 papers). The work is most often cited by research in Control and Systems Engineering (293 citations), Computer Vision and Pattern Recognition (127 citations) and Biomedical Engineering (198 citations). Nicolas Mansard has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Yuval Tassa, Emo Todorov, Olivier Stasse, Maren Bennewitz, E. Todorov, Andrea Del Prete, Jonas Koenemann, Abderrahmane Kheddar, François Keith and Pierre-Brice Wieber. Their work appears in journals such as Communications of the ACM, Computer Methods in Biomechanics & Biomedical Engineering and HAL (Le Centre pour la Communication Scientifique Directe).

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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