Maxime Adjigble
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Human-Computer Interaction top 10%
Papers in
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- Robot Manipulation and Learning 8
- Robotic Mechanisms and Dynamics 3
- Robotics and Automated Systems 1
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- Teleoperation and Haptic Systems 5
- Co-authors
- Rustam Stolkin (11 shared papers)Marek Kopicki (3 shared papers)Naresh Marturi (9 shared papers)Aleš Leonardis (3 shared papers)Valerio Ortenzi (5 shared papers)Vijaykumar Rajasekaran (3 shared papers)Alireza Rastegarpanah (2 shared papers)Yasemin Bekiroglu (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)The International Journal of Robotics Research (1 paper)Autonomous Robots (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)University of Birmingham Research Portal (University of Birmingham) (6 papers)
- Partner nations
- United KingdomFranceAustralia
In The Last Decade
Maxime Adjigble
11 papers receiving 261 citations
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 198
- Human-Computer Interaction 25
- Computer Vision and Pattern Recognition 74
- Biomedical Engineering 116
- Mechanical Engineering 82
Countries citing papers authored by Maxime Adjigble
This map shows the geographic impact of Maxime Adjigble'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 Maxime Adjigble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Adjigble more than expected).
Fields of papers citing papers by Maxime Adjigble
This network shows the impact of papers produced by Maxime Adjigble. 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 Maxime Adjigble. The network helps show where Maxime Adjigble may publish in the future.
Co-authors
The 15 scholars most cited alongside Maxime Adjigble, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 73 | |
| 2 | 2018 | 64 | |
| 3 | 2016 | 54 | |
| 4 | 2018 | 26 | |
| 5 | 2014 | 20 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 7 | |
| 8 | 2015 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 1 |
About Maxime Adjigble
Maxime Adjigble is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 11 papers that have together received 268 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Teleoperation and Haptic Systems (5 papers), Soft Robotics and Applications (4 papers), Robotic Mechanisms and Dynamics (3 papers), Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (2 papers), Gaze Tracking and Assistive Technology (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Control and Systems Engineering (198 citations), Human-Computer Interaction (25 citations), Computer Vision and Pattern Recognition (74 citations), Biomedical Engineering (116 citations) and Mechanical Engineering (82 citations). Maxime Adjigble has collaborated with scholars based in United Kingdom, France and Australia. Frequent co-authors include Rustam Stolkin, Marek Kopicki, Naresh Marturi, Aleš Leonardis, Valerio Ortenzi, Vijaykumar Rajasekaran, Alireza Rastegarpanah, Yasemin Bekiroglu, Jeremy Wyatt and Renaud Detry. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Autonomous Robots, SPIRE - Sciences Po Institutional REpository and University of Birmingham Research Portal (University of Birmingham).
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.