Eric Rohmer
Impact in
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- Robot Manipulation and Learning
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- Robotic Path Planning Algorithms
Papers in
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- Muscle activation and electromyography studies 17
- Advanced Sensor and Energy Harvesting Materials 6
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- EEG and Brain-Computer Interfaces 12
- Co-authors
- Marc Freese (1 shared paper)Surya P. N. Singh (1 shared paper)Keiji Nagatani (6 shared papers)Kazuya Yoshida (8 shared papers)Tomoaki Yoshida (2 shared papers)Satoshı Tadokoro (2 shared papers)Kazunori Ohno (2 shared papers)Giulio Reina (4 shared papers)
In The Last Decade
Eric Rohmer
46 papers receiving 1.3k citations
Eric Rohmer's Hit Papers
Peers
Comparison fields: 5 of 93
- Control and Systems Engineering 568
- Computer Vision and Pattern Recognition 437
- Human-Computer Interaction 94
- Biomedical Engineering 562
- Aerospace Engineering 217
Countries citing papers authored by Eric Rohmer
This map shows the geographic impact of Eric Rohmer'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 Eric Rohmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Rohmer more than expected).
Fields of papers citing papers by Eric Rohmer
This network shows the impact of papers produced by Eric Rohmer. 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 Eric Rohmer. The network helps show where Eric Rohmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Rohmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | V-REP: A versatile and scalable robot simulation framework Hit paper breakdown → | 2013 | 909 |
| 2 | 2010 | 72 | |
| 3 | 2010 | 50 | |
| 4 | 2010 | 43 | |
| 5 | 2020 | 38 | |
| 6 | 2010 | 33 | |
| 7 | 2018 | 24 | |
| 8 | 2015 | 23 | |
| 9 | 2016 | 21 | |
| 10 | 2009 | 16 | |
| 11 | 2019 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2017 | 11 | |
| 15 | 2006 | 11 | |
| 16 | 2008 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2013 | 7 | |
| 20 | 2023 | 5 |
About Eric Rohmer
Eric Rohmer is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Control and Systems Engineering, Mechanical Engineering and Cellular and Molecular Neuroscience, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (17 papers), EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (11 papers), Modular Robots and Swarm Intelligence (9 papers), Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (6 papers), Robotics and Automated Systems (6 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). The work is most often cited by research in Control and Systems Engineering (568 citations), Computer Vision and Pattern Recognition (437 citations), Human-Computer Interaction (94 citations), Biomedical Engineering (562 citations) and Aerospace Engineering (217 citations). Eric Rohmer has collaborated with scholars based in Brazil, Japan and Italy. Frequent co-authors include Marc Freese, Surya P. N. Singh, Keiji Nagatani, Kazuya Yoshida, Tomoaki Yoshida, Satoshı Tadokoro, Kazunori Ohno, Giulio Reina, Kenjiro Tadakuma and Eric Fujiwara. Their work appears in journals such as Cognitive Systems Research, Sensors, Journal of Intelligent & Robotic Systems, Advanced Robotics and IEEE Access.
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.