Malte Jung
- Human-Computer Interaction top 0.5%
- Innovative Human-Technology Interaction 16
- Social Psychology top 0.5%
- Social Robot Interaction and HRI 44
- Team Dynamics and Performance 13
- Human-Automation Interaction and Safety 8
- Safety Research top 1%
- Ethics and Social Impacts of AI 18
- Health Informatics top 2%
- Applied Psychology top 5%
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- AI in Service Interactions 18
- Speech and dialogue systems 8
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- Design Education and Practice 7
- Co-authors
- Pamela HindsJess HohensteinJean CostaTanzeem ChoudhurySolace ShenSarah SeboBrian ScassellatiFrançois Guimbretière
- Journals
- Proceedings of the ACM on Human-Computer Interaction (8 papers)Computers in Human Behavior (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Malte Jung
98 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Human-Computer Interaction 549
- Social Psychology 1.5k
- Safety Research 457
- Health Informatics 52
- Applied Psychology 169
Countries citing papers authored by Malte Jung
This map shows the geographic impact of Malte Jung'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 Malte Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malte Jung more than expected).
Fields of papers citing papers by Malte Jung
This network shows the impact of papers produced by Malte Jung. 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 Malte Jung. The network helps show where Malte Jung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Malte Jung, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 0 | |
| 16 | 2020 | 41 | |
| 17 | Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teamsbreakdown → | 2019 | 247 |
| 18 | 2016 | 25 | |
| 19 | An Exploration of Design Information Capture and Reuse in Text and Video Media | 2005 | 2 |
| 20 | 1989 | 6 |
About Malte Jung
Malte Jung is a scholar working on Human-Computer Interaction, Social Psychology and Safety Research, having authored 108 papers that have together received 3.0k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (44 papers), Ethics and Social Impacts of AI (18 papers), AI in Service Interactions (18 papers), Innovative Human-Technology Interaction (16 papers), Team Dynamics and Performance (13 papers), Human-Automation Interaction and Safety (8 papers), Speech and dialogue systems (8 papers) and Design Education and Practice (7 papers). The work is most often cited by research in Human-Computer Interaction (549 citations), Social Psychology (1.5k citations) and Safety Research (457 citations). Malte Jung has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Pamela Hinds, Jess Hohenstein, Jean Costa, Tanzeem Choudhury, Solace Shen, Sarah Sebo, Brian Scassellati, François Guimbretière, Nikolas Martelaro and Alexander T. Adams. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Computers in Human Behavior, Scientific Reports, Proceedings of the National Academy of Sciences and International Journal of Social Robotics.
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.