Jacky Casas
Impact in
- Health Informatics top 10%
-
- Digital Mental Health Interventions
Papers in
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- AI in Service Interactions 7
- Sentiment Analysis and Opinion Mining 3
- Topic Modeling 3
- Natural Language Processing Techniques 2
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- Social Robot Interaction and HRI 5
- Co-authors
- Elena Mugellini (11 shared papers)Omar Abou Khaled (11 shared papers)Philippe Cudré-Mauroux (2 shared papers)Gérard Chollet (1 shared paper)Abdallah El Ali (1 shared paper)Maurizio Caon (1 shared paper)Federica Cena (1 shared paper)Denis Lalanne (2 shared papers)
- Journals
- ArODES (HES-SO (https://www.hes-so.ch/)) (9 papers)Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands (1 paper)Annals of Computer Science and Information Systems (1 paper)
- Partner nations
- SwitzerlandItalyNetherlands
In The Last Decade
Jacky Casas
10 papers receiving 327 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 13
- Applied Psychology 27
- Artificial Intelligence 184
- Human-Computer Interaction 27
- Social Psychology 37
Countries citing papers authored by Jacky Casas
This map shows the geographic impact of Jacky Casas'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 Jacky Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacky Casas more than expected).
Fields of papers citing papers by Jacky Casas
This network shows the impact of papers produced by Jacky Casas. 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 Jacky Casas. The network helps show where Jacky Casas may publish in the future.
Co-authors
The 10 scholars most cited alongside Jacky Casas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 212 | |
| 2 | 2020 | 30 | |
| 3 | 2018 | 29 | |
| 4 | 2021 | 25 | |
| 5 | 2020 | 23 | |
| 6 | Empathic response generation in chatbots | 2019 | 12 |
| 7 | 2021 | 7 | |
| 8 | 2018 | 3 | |
| 9 | 2021 | 2 | |
| 10 | Embodied Conversational Agent for Emotional Recognition Training | 2020 | 1 |
| 11 | 2021 | 0 |
About Jacky Casas
Jacky Casas is a scholar working on Artificial Intelligence, Social Psychology, Experimental and Cognitive Psychology, Applied Psychology and Communication, having authored 11 papers that have together received 344 indexed citations. Recurring topics across this work include AI in Service Interactions (7 papers), Social Robot Interaction and HRI (5 papers), Emotion and Mood Recognition (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers), Digital Mental Health Interventions (2 papers), Natural Language Processing Techniques (2 papers) and Innovative Human-Technology Interaction (1 paper). The work is most often cited by research in Health Informatics (13 citations), Applied Psychology (27 citations), Artificial Intelligence (184 citations), Human-Computer Interaction (27 citations) and Social Psychology (37 citations). Jacky Casas has collaborated with scholars based in Switzerland, Italy and Netherlands. Frequent co-authors include Elena Mugellini, Omar Abou Khaled, Philippe Cudré-Mauroux, Gérard Chollet, Abdallah El Ali, Maurizio Caon, Federica Cena, Denis Lalanne, Amon Rapp and Leonardo Angelini. Their work appears in journals such as ArODES (HES-SO (https://www.hes-so.ch/)), Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands and Annals of Computer Science and Information Systems.
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.