Florian Pécune

458 total citations
26 papers, 222 citations indexed

About

Florian Pécune is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Florian Pécune has authored 26 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Social Psychology and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Florian Pécune's work include Speech and dialogue systems (9 papers), Social Robot Interaction and HRI (7 papers) and Topic Modeling (5 papers). Florian Pécune is often cited by papers focused on Speech and dialogue systems (9 papers), Social Robot Interaction and HRI (7 papers) and Topic Modeling (5 papers). Florian Pécune collaborates with scholars based in France, United States and United Kingdom. Florian Pécune's co-authors include Stacy Marsella, Justine Cassell, Catherine Pélachaud, Yoichi Matsuyama, Fred Charles, Marc Cavazza, Jingya Chen, Antonio Camurri, Giovanna Varni and Yu Ding and has published in prestigious journals such as SLEEP, Journal of the American Medical Informatics Association and Education and Information Technologies.

In The Last Decade

Florian Pécune

22 papers receiving 214 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florian Pécune France 9 103 59 53 40 38 26 222
Zeyad A. T. Ahmed India 8 67 0.7× 50 0.8× 40 0.8× 53 1.3× 25 0.7× 20 204
Huili Chen United States 7 109 1.1× 98 1.7× 23 0.4× 20 0.5× 31 0.8× 14 264
Bingsheng Yao United States 9 180 1.7× 66 1.1× 41 0.8× 16 0.4× 26 0.7× 29 384
Fabio Catania Italy 9 157 1.5× 54 0.9× 15 0.3× 59 1.5× 23 0.6× 23 257
Sungwoo Lee South Korea 3 115 1.1× 61 1.0× 20 0.4× 35 0.9× 33 0.9× 4 296
Yoichi Matsuyama Japan 9 165 1.6× 110 1.9× 33 0.6× 11 0.3× 26 0.7× 32 272
Anastasia Kuzminykh Canada 10 88 0.9× 90 1.5× 20 0.4× 22 0.6× 22 0.6× 33 246
Maaike Harbers Netherlands 10 97 0.9× 47 0.8× 20 0.4× 23 0.6× 9 0.2× 31 218
Robbert‐Jan Beun Netherlands 12 213 2.1× 66 1.1× 31 0.6× 35 0.9× 130 3.4× 23 382
Md. Iftekhar Tanveer United States 9 106 1.0× 101 1.7× 22 0.4× 40 1.0× 60 1.6× 11 329

Countries citing papers authored by Florian Pécune

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Florian Pécune

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Pécune. A scholar is included among the top collaborators of Florian Pécune based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florian Pécune. Florian Pécune is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pélachaud, Catherine, et al.. (2025). EMMI–Empathic Multimodal Motivational Interviews: automatic multimodal features extraction and patient type definition. Language Resources and Evaluation. 59(4). 3741–3764.
2.
Pécune, Florian, et al.. (2025). Promoting mental health in the age of new digital tools: balancing challenges and opportunities of social media, chatbots, and wearables. Frontiers in Digital Health. 7. 1560580–1560580. 3 indexed citations
3.
Sagaspe, Patricia, M. Montserrat Sánchez-Ortuño, Lucile Dupuy, et al.. (2024). Perceptions and Effectiveness of a Fully Automated Brief Behavioral Insomnia Therapy, Delivered by a Virtual Companion, in Older and Young Adults. Innovation in Aging. 9(2). igae086–igae086.
4.
Sánchez-Ortuño, M. Montserrat, Florian Pécune, Jean‐Arthur Micoulaud‐Franchi, et al.. (2024). Determinants of Dropout From a Virtual Agent–Based App for Insomnia Management in a Self-Selected Sample of Users With Insomnia Symptoms: Longitudinal Study. JMIR Mental Health. 12. e51022–e51022.
5.
Pélachaud, Catherine, et al.. (2024). Simulating Patient Oral Dialogues: A Study on Naturalness and Coherence of Conditioned Large Language Models. SPIRE - Sciences Po Institutional REpository. 1–4. 1 indexed citations
6.
Pélachaud, Catherine, et al.. (2024). Seeing and Hearing What Has Not Been Said: A multimodal client behavior classifier in Motivational Interviewing with interpretable fusion. SPIRE - Sciences Po Institutional REpository. 1–9. 2 indexed citations
7.
Sánchez-Ortuño, M. Montserrat, Florian Pécune, Jean‐Arthur Micoulaud‐Franchi, et al.. (2023). Predictors of users’ adherence to a fully automated digital intervention to manage insomnia complaints. Journal of the American Medical Informatics Association. 30(12). 1934–1942. 3 indexed citations
8.
9.
Pélachaud, Catherine, et al.. (2022). Adapting conversational strategies in information-giving human-agent interaction. Frontiers in Artificial Intelligence. 5. 1029340–1029340. 4 indexed citations
10.
Pécune, Florian, et al.. (2022). Designing Persuasive Food Conversational Recommender Systems With Nudging and Socially-Aware Conversational Strategies. Frontiers in Robotics and AI. 8. 733835–733835. 15 indexed citations
11.
Pécune, Florian, et al.. (2020). A recommender system for healthy and personalized recipe recommendations. Conference on Recommender Systems. 2684. 15–20. 6 indexed citations
12.
Pécune, Florian, et al.. (2020). A Socially-Aware Conversational Recommender System for Personalized Recipe Recommendations. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 78–86. 26 indexed citations
13.
Pécune, Florian, et al.. (2020). A framework to co-optimize task and social dialogue policies using Reinforcement Learning. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–8. 6 indexed citations
14.
Pécune, Florian, et al.. (2019). A Model of Social Explanations for a Conversational Movie Recommendation System. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 135–143. 35 indexed citations
15.
Madaio, Michael, et al.. (2018). Socially-Conditioned Task Reasoning for a Virtual Tutoring Agent. Adaptive Agents and Multi-Agents Systems. 2265–2267. 4 indexed citations
16.
Pécune, Florian, Jingya Chen, Yoichi Matsuyama, & Justine Cassell. (2018). Field Trial Analysis of Socially Aware Robot Assistant. Adaptive Agents and Multi-Agents Systems. 1241–1249. 17 indexed citations
17.
Pécune, Florian, et al.. (2018). A User Simulator Architecture for Socially-Aware Conversational Agents. 133–140. 8 indexed citations
18.
Pécune, Florian, et al.. (2016). Affective Interaction with a Virtual Character Through an fNIRS Brain-Computer Interface. Frontiers in Computational Neuroscience. 10. 70–70. 37 indexed citations
19.
Pécune, Florian, Maurizio Mancini, Giovanna Varni, et al.. (2015). Laughing with a Virtual Agent. Adaptive Agents and Multi-Agents Systems. 1817–1818. 9 indexed citations
20.
Pécune, Florian, Yu Ding, Catherine Pélachaud, et al.. (2015). LOL — Laugh Out Loud. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 4309–4310. 2 indexed citations

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.

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