Jasper Feine
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
Papers in
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- AI in Service Interactions 6
- Sentiment Analysis and Opinion Mining 1
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- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Stefan Morana (7 shared papers)Alexander Maedche (7 shared papers)Ulrich Gnewuch (2 shared papers)Ulrich Reininghaus (1 shared paper)Anita Schick (1 shared paper)John Venable (1 shared paper)
- Journals
- Journal of the Association for Information Systems (3 papers)International Journal of Human-Computer Studies (1 paper)JMIR mhealth and uhealth (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)AIS Transactions on Human-Computer Interaction (1 paper)
In The Last Decade
Jasper Feine
8 papers receiving 448 citations
Jasper Feine's Hit Papers
Peers
Comparison fields: 5 of 52
- Applied Psychology 68
- Human-Computer Interaction 61
- Health Informatics 14
- Artificial Intelligence 294
- Social Psychology 160
Countries citing papers authored by Jasper Feine
This map shows the geographic impact of Jasper Feine'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 Jasper Feine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasper Feine more than expected).
Fields of papers citing papers by Jasper Feine
This network shows the impact of papers produced by Jasper Feine. 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 Jasper Feine. The network helps show where Jasper Feine may publish in the future.
Co-authors
The 6 scholars most cited alongside Jasper Feine, 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 | A Taxonomy of Social Cues for Conversational Agents Hit paper breakdown → | 2019 | 349 |
| 2 | Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis | 2019 | 38 |
| 3 | 2022 | 35 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 10 | |
| 6 | Designing a Chatbot Social Cue Configuration System | 2019 | 9 |
| 7 | Designing Interactive Chatbot Development Systems | 2020 | 7 |
| 8 | 2022 | 1 |
About Jasper Feine
Jasper Feine is a scholar working on Artificial Intelligence, Computer Science Applications, Human-Computer Interaction, Sociology and Political Science and Applied Psychology, having authored 8 papers that have together received 459 indexed citations. Recurring topics across this work include AI in Service Interactions (6 papers), Innovative Human-Technology Interaction (3 papers), Digital Mental Health Interventions (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Sentiment Analysis and Opinion Mining (1 paper), Information Systems Theories and Implementation (1 paper), Software Engineering Research (1 paper) and Personal Information Management and User Behavior (1 paper). The work is most often cited by research in Applied Psychology (68 citations), Human-Computer Interaction (61 citations), Health Informatics (14 citations), Artificial Intelligence (294 citations) and Social Psychology (160 citations). Jasper Feine has collaborated with scholars based in Germany and Australia. Frequent co-authors include Stefan Morana, Alexander Maedche, Ulrich Gnewuch, Ulrich Reininghaus, Anita Schick and John Venable. Their work appears in journals such as Journal of the Association for Information Systems, International Journal of Human-Computer Studies, JMIR mhealth and uhealth, Proceedings of the ACM on Human-Computer Interaction and AIS Transactions on Human-Computer Interaction.
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.