Florian Pécune
Impact in
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
Papers in
-
- Speech and dialogue systems 9
- AI in Service Interactions 5
- Topic Modeling 5
-
- Social Robot Interaction and HRI 7
- Co-authors
- Stacy Marsella (4 shared papers)Justine Cassell (5 shared papers)Catherine Pélachaud (11 shared papers)Yoichi Matsuyama (4 shared papers)Fred Charles (1 shared paper)Marc Cavazza (1 shared paper)Jingya Chen (1 shared paper)Gualtiero Volpe (3 shared papers)
- Journals
- JMIR Mental Health (1 paper)Education and Information Technologies (1 paper)Language Resources and Evaluation (1 paper)SLEEP (1 paper)Innovation in Aging (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Florian Pécune
22 papers receiving 214 citations
Peers
Comparison fields: 5 of 48
- Human-Computer Interaction 25
- Health Informatics 6
- Artificial Intelligence 103
- Applied Psychology 15
- Experimental and Cognitive Psychology 38
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 37 | |
| 2 | 2019 | 35 | |
| 3 | 2020 | 26 | |
| 4 | 2020 | 19 | |
| 5 | 2018 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2017 | 10 | |
| 8 | 2015 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2023 | 7 | |
| 11 | A recommender system for healthy and personalized recipe recommendations | 2020 | 6 |
| 12 | 2020 | 6 | |
| 13 | 2018 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2015 | 2 |
About Florian Pécune
Florian Pécune is a scholar working on Artificial Intelligence, Social Psychology, Experimental and Cognitive Psychology, Sociology and Political Science and Information Systems, having authored 26 papers that have together received 222 indexed citations. Recurring topics across this work include Speech and dialogue systems (9 papers), Social Robot Interaction and HRI (7 papers), AI in Service Interactions (5 papers), Topic Modeling (5 papers), Sleep and related disorders (4 papers), Recommender Systems and Techniques (4 papers), Digital Mental Health Interventions (3 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Human-Computer Interaction (25 citations), Health Informatics (6 citations), Artificial Intelligence (103 citations), Applied Psychology (15 citations) and Experimental and Cognitive Psychology (38 citations). Florian Pécune has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Stacy Marsella, Justine Cassell, Catherine Pélachaud, Yoichi Matsuyama, Fred Charles, Marc Cavazza, Jingya Chen, Gualtiero Volpe, Maurizio Mancini and Giovanna Varni. Their work appears in journals such as JMIR Mental Health, Education and Information Technologies, Language Resources and Evaluation, SLEEP and Innovation in Aging.
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.