Jacky Casas
Impact in
- Health Informatics top 10%
-
- Digital Mental Health Interventions
Papers in
-
- AI in Service Interactions 7
- Sentiment Analysis and Opinion Mining 3
- Topic Modeling 3
- Natural Language Processing Techniques 2
-
- Social Robot Interaction and HRI 5
- Co-authors
- Omar Abou Khaled (11 shared papers)Elena Mugellini (11 shared papers)Philippe Cudré-Mauroux (2 shared papers)Abdallah El Ali (1 shared paper)Gérard Chollet (1 shared paper)Federica Cena (1 shared paper)Amon Rapp (1 shared paper)Denis Lalanne (2 shared papers)
- Journals
- SHILAP Revista de lepidopterología (1 paper)Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands (1 paper)ArODES (HES-SO (https://www.hes-so.ch/)) (9 papers)
- Partner nations
- SwitzerlandItalyNetherlands
In The Last Decade
Jacky Casas
10 papers receiving 307 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 13
- Applied Psychology 30
- Artificial Intelligence 183
- Human-Computer Interaction 25
- 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 | 202 | |
| 2 | 2018 | 29 | |
| 3 | 2020 | 25 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 20 | |
| 6 | Empathic response generation in chatbots | 2019 | 11 |
| 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 323 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), Natural Language Processing Techniques (2 papers), Digital Mental Health Interventions (2 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (13 citations), Applied Psychology (30 citations), Artificial Intelligence (183 citations), Human-Computer Interaction (25 citations) and Social Psychology (37 citations). Jacky Casas has collaborated with scholars based in Switzerland, Italy and Netherlands. Frequent co-authors include Omar Abou Khaled, Elena Mugellini, Philippe Cudré-Mauroux, Abdallah El Ali, Gérard Chollet, Federica Cena, Amon Rapp, Denis Lalanne, Leonardo Angelini and Maurizio Caon. Their work appears in journals such as SHILAP Revista de lepidopterología, Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands and ArODES (HES-SO (https://www.hes-so.ch/)).
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.