Valentin Schwind
- Human-Computer Interaction top 0.1%
- Virtual Reality Applications and Impacts 47
- Interactive and Immersive Displays 14
- Gaze Tracking and Assistive Technology 6
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions 22
- Social Psychology top 2%
- Action Observation and Synchronization 8
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- Augmented Reality Applications 6
- Data Visualization and Analytics 5
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- Sport Psychology and Performance 8
- Co-authors
- Niels HenzePascal KnierimMartin KocurSven MayerKatrin WolfChristian WolffRufat RzayevAnna Maria Feit
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)interactions (2 papers)International Journal of Human-Computer Studies (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Valentin Schwind
78 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Human-Computer Interaction 1.4k
- Cognitive Neuroscience 597
- Social Psychology 451
- Computer Vision and Pattern Recognition 423
- Developmental and Educational Psychology 184
Countries citing papers authored by Valentin Schwind
This map shows the geographic impact of Valentin Schwind'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 Valentin Schwind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Schwind more than expected).
Fields of papers citing papers by Valentin Schwind
This network shows the impact of papers produced by Valentin Schwind. 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 Valentin Schwind. The network helps show where Valentin Schwind may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Valentin Schwind, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 1 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 32 | |
| 17 | 2020 | 26 | |
| 18 | NLATool: an Application for Enhanced Deep Text Understanding | 2018 | 1 |
| 19 | 2018 | 5 | |
| 20 | 2016 | 12 |
About Valentin Schwind
Valentin Schwind is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Social Psychology, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (47 papers), Tactile and Sensory Interactions (22 papers), Interactive and Immersive Displays (14 papers), Action Observation and Synchronization (8 papers), Sport Psychology and Performance (8 papers), Augmented Reality Applications (6 papers), Gaze Tracking and Assistive Technology (6 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Human-Computer Interaction (1.4k citations), Cognitive Neuroscience (597 citations) and Social Psychology (451 citations). Valentin Schwind has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Niels Henze, Pascal Knierim, Martin Kocur, Sven Mayer, Katrin Wolf, Christian Wolff, Rufat Rzayev, Anna Maria Feit, Alexandra Voit and Lewis L. Chuang. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, interactions, International Journal of Human-Computer Studies, Behavioural Brain Research and Big Data and Cognitive Computing.
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.