Jérôme Maye

473 citations
12 papers · 328 · h-index 11

Impact in

Papers in

Jérôme Maye

12 papers receiving 314 citations

Peers

Jérôme Maye
Comparison fields: 5 of 55
  • Geology 39
  • Computer Vision and Pattern Recognition 124
  • Aerospace Engineering 146
  • Automotive Engineering 35
  • Instrumentation 9
Replace Dong‐Geol Choi with:
Dong‐Geol Choi South Korea
Kaiqi Liu China
Jihong Min South Korea
Marco Tranzatto Switzerland
Francisco J. Pérez-Grau Spain
Dominik Belter Poland
Weinan Chen China
Ilya Afanasyev Russia
Yoji KURODA Japan
Yunwang Li China
Jérôme Maye relative to Dong‐Geol Choi South Korea Dong‐Geol Choi's profile →
Citations per field
00.5×1.5×
Dong‐Geol Choi · 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 201391
2 200885
3 201237
4 201529
5 201114
6 201013
7 201213
8
Adaptive Locomotion Control in Modular Robotics
200711
9 201011
10 200710
11 201210
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 328 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), Advanced Measurement and Metrology Techniques (2 papers), Modular Robots and Swarm Intelligence (2 papers), Soil Mechanics and Vehicle Dynamics (2 papers), Vehicular Ad Hoc Networks (VANETs) (1 paper) and Vehicle Dynamics and Control Systems (1 paper). The work is most often cited by research in Geology (39 citations), Computer Vision and Pattern Recognition (124 citations), Aerospace Engineering (146 citations), Automotive Engineering (35 citations) and Instrumentation (9 citations). Jérôme Maye has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Roland Siegwart, Paul Furgale, Auke Jan Ijspeert, Alexander Sproewitz, Rico Moeckel, Ralf Kaestner, Hannes Sommer, Gabriel Agamennoni, Luciano Spinello and Rudolph Triebel. 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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