Marc Riar
Impact in
- Human-Computer Interaction top 1%
- Virtual Reality Applications and Impacts
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- Technology Adoption and User Behaviour
Papers in
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- Human-Automation Interaction and Safety 2
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- Digital Marketing and Social Media 2
- Evolutionary Game Theory and Cooperation 2
- Digital Games and Media 2
- Co-authors
- Juho Hamari (7 shared papers)Nannan Xi (3 shared papers)Benedikt Morschheuser (5 shared papers)Filipe Gama (1 shared paper)Juan Chen (1 shared paper)Rüdiger Zarnekow (6 shared papers)Alexander Maedche (1 shared paper)Hans‐Peter Voss (1 shared paper)
In The Last Decade
Marc Riar
11 papers receiving 622 citations
Marc Riar's Hit Papers
Peers
Comparison fields: 5 of 76
- Human-Computer Interaction 267
- Information Systems and Management 140
- Marketing 112
- Developmental and Educational Psychology 122
- Computer Vision and Pattern Recognition 111
Countries citing papers authored by Marc Riar
This map shows the geographic impact of Marc Riar'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 Marc Riar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Riar more than expected).
Fields of papers citing papers by Marc Riar
This network shows the impact of papers produced by Marc Riar. 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 Marc Riar. The network helps show where Marc Riar may publish in the future.
Co-authors
The 9 scholars most cited alongside Marc Riar, 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 | The challenges of entering the metaverse: An experiment on the effect of extended reality on workload Hit paper breakdown → | 2022 | 276 |
| 2 | 2017 | 126 | |
| 3 | 2022 | 92 | |
| 4 | 2022 | 55 | |
| 5 | 2021 | 35 | |
| 6 | 2023 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 5 | |
| 9 | Using Gamification to Motivate Cooperation: A Review | 2020 | 2 |
| 10 | 2024 | 2 | |
| 11 | 2025 | 1 |
About Marc Riar
Marc Riar is a scholar working on Social Psychology, Sociology and Political Science, Human-Computer Interaction, Computer Vision and Pattern Recognition and Marketing, having authored 11 papers that have together received 642 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (4 papers), Augmented Reality Applications (3 papers), Behavioral Health and Interventions (2 papers), Educational Games and Gamification (2 papers), Human-Automation Interaction and Safety (2 papers), Digital Marketing and Social Media (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Digital Games and Media (2 papers). The work is most often cited by research in Human-Computer Interaction (267 citations), Information Systems and Management (140 citations), Marketing (112 citations), Developmental and Educational Psychology (122 citations) and Computer Vision and Pattern Recognition (111 citations). Marc Riar has collaborated with scholars based in Germany, Finland and France. Frequent co-authors include Juho Hamari, Nannan Xi, Benedikt Morschheuser, Filipe Gama, Juan Chen, Rüdiger Zarnekow, Alexander Maedche, Hans‐Peter Voss and Jens Ebert. Their work appears in journals such as Journal of the Association for Information Systems, Information Systems Frontiers, Behaviour and Information Technology, International Journal of Information Management and Internet Research.
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.