Jasper Feine

849 total citations · 1 hit paper
8 papers, 428 citations indexed

About

Jasper Feine is a scholar working on Artificial Intelligence, Computer Science Applications and Human-Computer Interaction. According to data from OpenAlex, Jasper Feine has authored 8 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Science Applications and 3 papers in Human-Computer Interaction. Recurrent topics in Jasper Feine's work include AI in Service Interactions (7 papers), Innovative Human-Technology Interaction (3 papers) and Digital Mental Health Interventions (2 papers). Jasper Feine is often cited by papers focused on AI in Service Interactions (7 papers), Innovative Human-Technology Interaction (3 papers) and Digital Mental Health Interventions (2 papers). Jasper Feine collaborates with scholars based in Germany. Jasper Feine's co-authors include Stefan Morana, Alexander Maedche, Ulrich Gnewuch, Anita Schick, Ulrich Reininghaus and John Venable and has published in prestigious journals such as Journal of the Association for Information Systems, International Journal of Human-Computer Studies and JMIR mhealth and uhealth.

In The Last Decade

Jasper Feine

8 papers receiving 405 citations

Hit Papers

A Taxonomy of Social Cues for Conversational Agents 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasper Feine Germany 7 289 157 127 73 58 8 428
Arianna Boldi Italy 8 314 1.1× 116 0.7× 149 1.2× 80 1.1× 63 1.1× 16 512
Minjin Rheu United States 10 193 0.7× 143 0.9× 78 0.6× 89 1.2× 69 1.2× 17 440
G. Mark Grimes United States 11 428 1.5× 188 1.2× 199 1.6× 81 1.1× 76 1.3× 18 601
Gain Park South Korea 10 171 0.6× 128 0.8× 92 0.7× 63 0.9× 21 0.4× 18 323
Cammy Crolic United Kingdom 3 298 1.0× 125 0.8× 205 1.6× 40 0.5× 26 0.4× 7 480
Astrid Carolus Germany 10 157 0.5× 89 0.6× 76 0.6× 34 0.5× 39 0.7× 25 406
Tianling Xie United States 4 244 0.8× 129 0.8× 111 0.9× 109 1.5× 12 0.2× 6 409
Heloísa Candello Brazil 11 280 1.0× 105 0.7× 58 0.5× 32 0.4× 123 2.1× 51 399
Michael Shumanov Australia 3 170 0.6× 45 0.3× 110 0.9× 32 0.4× 21 0.4× 3 265
Alex Sciuto United States 6 166 0.6× 97 0.6× 66 0.5× 19 0.3× 119 2.1× 7 323

Countries citing papers authored by Jasper Feine

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jasper Feine

This figure shows the co-authorship network connecting the top 25 collaborators of Jasper Feine. A scholar is included among the top collaborators of Jasper Feine 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 Jasper Feine. Jasper Feine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Schick, Anita, Jasper Feine, Stefan Morana, Alexander Maedche, & Ulrich Reininghaus. (2022). Validity of Chatbot Use for Mental Health Assessment: Experimental Study. JMIR mhealth and uhealth. 10(10). e28082–e28082. 31 indexed citations
2.
Feine, Jasper, Stefan Morana, & Alexander Maedche. (2022). Intrance: Designing an Interactive Enhancement System for the Development of QA Chatbots. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–24. 1 indexed citations
3.
Feine, Jasper, Stefan Morana, & Alexander Maedche. (2020). Designing Interactive Chatbot Development Systems. Journal of the Association for Information Systems. 7 indexed citations
4.
Feine, Jasper, et al.. (2020). On Implementing Ethical Principles in Design Science Research. AIS Transactions on Human-Computer Interaction. 12(4). 206–227. 9 indexed citations
5.
Feine, Jasper, Stefan Morana, & Alexander Maedche. (2020). A chatbot response generation system. 333–341. 10 indexed citations
6.
Feine, Jasper, Stefan Morana, & Alexander Maedche. (2019). Designing a Chatbot Social Cue Configuration System. Journal of the Association for Information Systems. 9 indexed citations
7.
Feine, Jasper, Stefan Morana, & Ulrich Gnewuch. (2019). Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis. Journal of the Association for Information Systems. 1115–1129. 38 indexed citations
8.
Feine, Jasper, Ulrich Gnewuch, Stefan Morana, & Alexander Maedche. (2019). A Taxonomy of Social Cues for Conversational Agents. International Journal of Human-Computer Studies. 132. 138–161. 323 indexed citations breakdown →

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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