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 11
- Semantic Web and Ontologies 6
- Logic, Reasoning, and Knowledge 5
- Reinforcement Learning in Robotics 4
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- Robot Manipulation and Learning 8
- Co-authors
- Humbert Fiorino (19 shared papers)Sylvie Pesty (6 shared papers)Christine Jeoffrion (3 shared papers)Daniel Höller (1 shared paper)Pascal Bercher (1 shared paper)Susanne Biundo (1 shared paper)Gregor Behnke (1 shared paper)Ron Alford (1 shared paper)
In The Last Decade
Damien Pellier
23 papers receiving 189 citations
Peers
Comparison fields: 5 of 37
- Software 25
- Artificial Intelligence 118
- Industrial and Manufacturing Engineering 25
- Control and Systems Engineering 51
- Social Psychology 33
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 15 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 38 | |
| 2 | 2018 | 33 | |
| 3 | 2022 | 27 | |
| 4 | 2017 | 16 | |
| 5 | 2019 | 13 | |
| 6 | 2021 | 10 | |
| 7 | 2017 | 9 | |
| 8 | 2024 | 8 | |
| 9 | 2017 | 7 | |
| 10 | 2022 | 5 | |
| 11 | 2005 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2009 | 5 | |
| 14 | 2017 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2007 | 2 | |
| 17 | 2016 | 2 | |
| 18 | Tree-REX: SAT-Based Tree Exploration for Efficient and High-Quality HTN Planning | 2019 | 1 |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Damien Pellier
Damien Pellier is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Social Psychology, having authored 26 papers that have together received 199 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (11 papers), Robot Manipulation and Learning (8 papers), Semantic Web and Ontologies (6 papers), Logic, Reasoning, and Knowledge (5 papers), Reinforcement Learning in Robotics (4 papers), Human-Automation Interaction and Safety (3 papers), Robotic Path Planning Algorithms (3 papers) and Digital Transformation in Industry (2 papers). The work is most often cited by research in Software (25 citations), Artificial Intelligence (118 citations), Industrial and Manufacturing Engineering (25 citations), Control and Systems Engineering (51 citations) and Social Psychology (33 citations). Damien Pellier has collaborated with scholars based in France, Belgium and India. Frequent co-authors include Humbert Fiorino, Sylvie Pesty, Christine Jeoffrion, Daniel Höller, Pascal Bercher, Susanne Biundo, Gregor Behnke, Ron Alford, Ying Liang and Maya Çakmak. Their work appears in journals such as Applied Ergonomics, The Knowledge Engineering Review, International Journal of Social Robotics, Relations industrielles and Paladyn Journal of Behavioral Robotics.
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.