Florian Pécune
Impact in
- Social Psychology top 10%
- Social Robot Interaction and HRI
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
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- Social Robot Interaction and HRI 21
-
- Sleep and related disorders 7
- Emotion and Mood Recognition 7
- Co-authors
- Stacy Marsella (6 shared papers)Catherine Pélachaud (24 shared papers)Justine Cassell (6 shared papers)Yoichi Matsuyama (5 shared papers)Fred Charles (2 shared papers)Gábor Aranyi (2 shared papers)Marc Cavazza (2 shared papers)Magalie Ochs (8 shared papers)
- Journals
- Innovation in Aging (1 paper)Journal of Sleep Research (1 paper)Education and Information Technologies (1 paper)Digital Health (1 paper)Language Resources and Evaluation (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Florian Pécune
34 papers receiving 338 citations
Peers
Comparison fields: 5 of 43
- Social Psychology 87
- Information Systems 95
- Human-Computer Interaction 26
- Health Informatics 8
- Artificial Intelligence 113
Countries citing papers authored by Florian Pécune
This map shows the geographic impact of Florian Pécune'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 Florian Pécune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Pécune more than expected).
Fields of papers citing papers by Florian Pécune
This network shows the impact of papers produced by Florian Pécune. 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 Florian Pécune. The network helps show where Florian Pécune may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Pécune, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 46 | |
| 2 | 2020 | 40 | |
| 3 | 2016 | 38 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 24 | |
| 6 | 2018 | 18 | |
| 7 | 2016 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2017 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 9 | |
| 14 | A recommender system for healthy and personalized recipe recommendations | 2020 | 7 |
| 15 | 2022 | 6 | |
| 16 | 2025 | 6 | |
| 17 | A Formal Model of Social Relations for Articial Companions | 2013 | 5 |
| 18 | 2023 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2016 | 4 |
About Florian Pécune
Florian Pécune is a scholar working on Social Psychology, Experimental and Cognitive Psychology, Artificial Intelligence, Applied Psychology and Information Systems, having authored 44 papers that have together received 351 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (21 papers), Speech and dialogue systems (12 papers), Sleep and related disorders (7 papers), Emotion and Mood Recognition (7 papers), Digital Mental Health Interventions (4 papers), Recommender Systems and Techniques (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Multi-Agent Systems and Negotiation (3 papers). The work is most often cited by research in Social Psychology (87 citations), Information Systems (95 citations), Human-Computer Interaction (26 citations), Health Informatics (8 citations) and Artificial Intelligence (113 citations). Florian Pécune has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Stacy Marsella, Catherine Pélachaud, Justine Cassell, Yoichi Matsuyama, Fred Charles, Gábor Aranyi, Marc Cavazza, Magalie Ochs, Mathieu Chollet and Jingya Chen. Their work appears in journals such as Innovation in Aging, Journal of Sleep Research, Education and Information Technologies, Digital Health and Language Resources and Evaluation.
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.