Jérôme Maye

479 citations
12 papers · 334 · h-index 11

Impact in

Papers in

Jérôme Maye

12 papers receiving 322 citations

Peers

Jérôme Maye
Comparison fields: 5 of 55
  • Geology 39
  • Computer Vision and Pattern Recognition 124
  • Aerospace Engineering 147
  • Automotive Engineering 36
  • Environmental Engineering 39
Replace Kaiqi Liu with:
Kaiqi Liu China
Jihong Min South Korea
Tiankai Yang China
Marco Tranzatto Switzerland
Francisco J. Pérez-Grau Spain
Weinan Chen China
Dominik Belter Poland
Haojia Li China
Yoji KURODA Japan
Ilya Afanasyev Russia
Jérôme Maye relative to Kaiqi Liu China Kaiqi Liu's profile →
Citations per field
00.5×1.5×2.2×
Kaiqi Liu · 1×
Citations per year

Countries citing papers authored by Jérôme Maye

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Maye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Jérôme Maye, 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 Jérôme Maye Line = papers co-authored together Jérôme Maye links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201393
2 200886
3 201238
4 201530
5 201115
6 201013
7 201213
8 201011
9
Adaptive Locomotion Control in Modular Robotics
200711
10 201210
11 200710
12 20104

About Jérôme Maye

Jérôme Maye is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 12 papers that have together received 334 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Video Surveillance and Tracking Methods (4 papers), Robotic Locomotion and Control (4 papers), Soil Mechanics and Vehicle Dynamics (2 papers), Advanced Measurement and Metrology Techniques (2 papers), Modular Robots and Swarm Intelligence (2 papers), Bluetooth and Wireless Communication Technologies (1 paper) and Soft Robotics and Applications (1 paper). The work is most often cited by research in Geology (39 citations), Computer Vision and Pattern Recognition (124 citations), Aerospace Engineering (147 citations), Automotive Engineering (36 citations) and Environmental Engineering (39 citations). Jérôme Maye has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Roland Siegwart, Paul Furgale, Auke Jan Ijspeert, Rico Moeckel, Alexander Sproewitz, Ralf Kaestner, Hannes Sommer, Gabriel Agamennoni, Rudolph Triebel and Luciano Spinello. Their work appears in journals such as The International Journal of Robotics Research, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Repository for Publications and Research Data (ETH Zurich).

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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