Johannes Pfau
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- Educational Games and Gamification 15
- Flow Experience in Various Fields 2
- Artificial Intelligence top 10%
- Artificial Intelligence in Games 16
- Reinforcement Learning in Robotics 3
- Sociology and Political Science top 10%
- Digital Games and Media 23
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- Sports Analytics and Performance 5
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- Gambling Behavior and Treatments 4
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- Data Visualization and Analytics 4
- Co-authors
- Rainer MalakaJan David SmeddinckMagy Seif El‐NasrAntonios LiapisGeorgios N. YannakakisJichen ZhuDmitry AlexandrovskyErica Kleinman
- Cited by
- Developmental and Educational PsychologyArtificial IntelligenceSociology and Political Science
- Journals
- Proceedings of the ACM on Human-Computer Interaction (2 papers)Semantic Web (1 paper)IEEE Transactions on Games (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Johannes Pfau
29 papers receiving 255 citations
Peers
Comparison fields: 5 of 37
- Developmental and Educational Psychology 106
- Artificial Intelligence 176
- Sociology and Political Science 139
- Software 11
- Computer Science Applications 14
Countries citing papers authored by Johannes Pfau
This map shows the geographic impact of Johannes Pfau'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 Johannes Pfau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Pfau more than expected).
Fields of papers citing papers by Johannes Pfau
This network shows the impact of papers produced by Johannes Pfau. 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 Johannes Pfau. The network helps show where Johannes Pfau may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Johannes Pfau, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 11 | |
| 17 | 2020 | 35 | |
| 18 | 2020 | 10 | |
| 19 | 2018 | 2 | |
| 20 | 2017 | 34 |
About Johannes Pfau
Johannes Pfau is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Sociology and Political Science, having authored 33 papers that have together received 262 indexed citations. Recurring topics across this work include Digital Games and Media (23 papers), Artificial Intelligence in Games (16 papers), Educational Games and Gamification (15 papers), Sports Analytics and Performance (5 papers), Gambling Behavior and Treatments (4 papers), Data Visualization and Analytics (4 papers), Reinforcement Learning in Robotics (3 papers) and Flow Experience in Various Fields (2 papers). The work is most often cited by research in Developmental and Educational Psychology (106 citations), Artificial Intelligence (176 citations) and Sociology and Political Science (139 citations). Johannes Pfau has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Rainer Malaka, Jan David Smeddinck, Magy Seif El‐Nasr, Antonios Liapis, Georgios N. Yannakakis, Georgios N. Yannakakis, Jichen Zhu, Dmitry Alexandrovsky, Erica Kleinman and Karsten Sohr. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Semantic Web and IEEE Transactions on Games.
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.