Matthew Jörke
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Innovative Human-Technology Interaction 5
- Persona Design and Applications 2
-
- Behavioral Health and Interventions 2
- Digital Mental Health Interventions 1
- Co-authors
- Michael S. Bernstein (1 shared paper)Ranjay Krishna (1 shared paper)Tobias Gerstenberg (1 shared paper)Madeleine Grunde-McLaughlin (1 shared paper)James A. Landay (4 shared papers)Yasaman S. Sefidgar (3 shared papers)Jina Suh (3 shared papers)Gonzalo Ramos (3 shared papers)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)ArXiv.org (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Matthew Jörke
8 papers receiving 223 citations
Matthew Jörke's Hit Papers
Peers
Comparison fields: 5 of 53
- Health Informatics 34
- Safety Research 55
- Human-Computer Interaction 29
- General Decision Sciences 6
- Artificial Intelligence 94
Countries citing papers authored by Matthew Jörke
This map shows the geographic impact of Matthew Jörke'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 Matthew Jörke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Jörke more than expected).
Fields of papers citing papers by Matthew Jörke
This network shows the impact of papers produced by Matthew Jörke. 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 Matthew Jörke. The network helps show where Matthew Jörke may publish in the future.
Co-authors
The 15 scholars most cited alongside Matthew Jörke, 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 | Explanations Can Reduce Overreliance on AI Systems During Decision-Making Hit paper breakdown → | 2023 | 169 |
| 2 | 2023 | 18 | |
| 3 | 2025 | 15 | |
| 4 | 2023 | 10 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2026 | 1 |
About Matthew Jörke
Matthew Jörke is a scholar working on Human-Computer Interaction, Applied Psychology, Sociology and Political Science, Marketing and Artificial Intelligence, having authored 8 papers that have together received 225 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (5 papers), Behavioral Health and Interventions (2 papers), Technology Use by Older Adults (2 papers), Persona Design and Applications (2 papers), Context-Aware Activity Recognition Systems (1 paper), Advanced Text Analysis Techniques (1 paper), Mobile Health and mHealth Applications (1 paper) and Digital Mental Health Interventions (1 paper). The work is most often cited by research in Health Informatics (34 citations), Safety Research (55 citations), Human-Computer Interaction (29 citations), General Decision Sciences (6 citations) and Artificial Intelligence (94 citations). Matthew Jörke has collaborated with scholars based in United States and Germany. Frequent co-authors include Michael S. Bernstein, Ranjay Krishna, Tobias Gerstenberg, Madeleine Grunde-McLaughlin, James A. Landay, Yasaman S. Sefidgar, Jina Suh, Gonzalo Ramos, Emma Brunskill and Koustuv Saha. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction and ArXiv.org.
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.