Damien Pellier
Impact in
- Software top 10%
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
- Reinforcement Learning in Robotics
- Semantic Web and Ontologies
Papers in
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- AI-based Problem Solving and Planning 14
- Logic, Reasoning, and Knowledge 7
- Semantic Web and Ontologies 7
- Reinforcement Learning in Robotics 4
- Speech and dialogue systems 3
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- Robot Manipulation and Learning 8
- Co-authors
- Humbert Fiorino (24 shared papers)Sylvie Pesty (7 shared papers)Daniel Höller (1 shared paper)Pascal Bercher (1 shared paper)Christine Jeoffrion (3 shared papers)Gregor Behnke (1 shared paper)Susanne Biundo (1 shared paper)Ron Alford (1 shared paper)
In The Last Decade
Damien Pellier
30 papers receiving 249 citations
Peers
Comparison fields: 5 of 41
- Software 27
- Artificial Intelligence 154
- Industrial and Manufacturing Engineering 29
- Control and Systems Engineering 57
- Social Psychology 49
Countries citing papers authored by Damien Pellier
This map shows the geographic impact of Damien Pellier'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 Damien Pellier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damien Pellier more than expected).
Fields of papers citing papers by Damien Pellier
This network shows the impact of papers produced by Damien Pellier. 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 Damien Pellier. The network helps show where Damien Pellier may publish in the future.
Co-authors
The 18 scholars most cited alongside Damien Pellier, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 45 | |
| 2 | 2018 | 39 | |
| 3 | 2022 | 29 | |
| 4 | 2016 | 22 | |
| 5 | 2017 | 19 | |
| 6 | 2019 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2024 | 9 | |
| 9 | 2017 | 9 | |
| 10 | 2018 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2005 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2010 | 5 | |
| 15 | 2009 | 5 | |
| 16 | 2017 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2007 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2022 | 2 |
About Damien Pellier
Damien Pellier is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Social Psychology and Computer Networks and Communications, having authored 34 papers that have together received 262 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (14 papers), Robot Manipulation and Learning (8 papers), Logic, Reasoning, and Knowledge (7 papers), Semantic Web and Ontologies (7 papers), Robotic Path Planning Algorithms (5 papers), Reinforcement Learning in Robotics (4 papers), Human-Automation Interaction and Safety (3 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Software (27 citations), Artificial Intelligence (154 citations), Industrial and Manufacturing Engineering (29 citations), Control and Systems Engineering (57 citations) and Social Psychology (49 citations). Damien Pellier has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Humbert Fiorino, Sylvie Pesty, Daniel Höller, Pascal Bercher, Christine Jeoffrion, Gregor Behnke, Susanne Biundo, Ron Alford, Carole Adam and Wafa Johal. Their work appears in journals such as Applied Ergonomics, Relations industrielles, The Knowledge Engineering Review, International Journal of Social Robotics and Lecture notes in computer science.
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.