Thomas Bührmann
Impact in
- Cognitive Neuroscience top 5%
- Embodied and Extended Cognition
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Social Psychology top 5%
- Action Observation and Synchronization
- Social Representations and Identity
Papers in
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- Embodied and Extended Cognition 5
- Neural dynamics and brain function 2
- Motor Control and Adaptation 2
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- Action Observation and Synchronization 5
- Co-authors
- Ezequiel A. Di Paolo (6 shared papers)Xabier E. Barandiaran (4 shared papers)Harald Frenz (1 shared paper)Marina Kolesnik (1 shared paper)Markus Lappe (1 shared paper)Eduardo J. Izquierdo (1 shared paper)
- Journals
- ACM Transactions on Applied Perception (1 paper)Frontiers in Psychology (1 paper)Frontiers in Human Neuroscience (1 paper)Artificial Life (1 paper)Phenomenology and the Cognitive Sciences (1 paper)
- Partner nations
- United KingdomSpainGermany
In The Last Decade
Thomas Bührmann
9 papers receiving 528 citations
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 429
- Social Psychology 217
- History and Philosophy of Science 39
- Human-Computer Interaction 45
- Philosophy 70
Countries citing papers authored by Thomas Bührmann
This map shows the geographic impact of Thomas Bührmann'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 Thomas Bührmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Bührmann more than expected).
Fields of papers citing papers by Thomas Bührmann
This network shows the impact of papers produced by Thomas Bührmann. 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 Thomas Bührmann. The network helps show where Thomas Bührmann may publish in the future.
Co-authors
The 6 scholars most cited alongside Thomas Bührmann, 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 | 2017 | 265 | |
| 2 | 2013 | 75 | |
| 3 | 2007 | 55 | |
| 4 | 2015 | 45 | |
| 5 | 2017 | 41 | |
| 6 | 2014 | 30 | |
| 7 | 2014 | 23 | |
| 8 | Analysis of a Dynamical Recurrent Neural Network Evolved for Two Qualitatively Different Tasks: Walking and Chemotaxis | 2008 | 21 |
| 9 | 2015 | 1 |
About Thomas Bührmann
Thomas Bührmann is a scholar working on Cognitive Neuroscience, Social Psychology, General Health Professions, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 556 indexed citations. Recurring topics across this work include Embodied and Extended Cognition (5 papers), Action Observation and Synchronization (5 papers), Neural dynamics and brain function (2 papers), Motor Control and Adaptation (2 papers), Mental Health and Psychiatry (1 paper), Sociology and Education Studies (1 paper), Advanced Vision and Imaging (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Cognitive Neuroscience (429 citations), Social Psychology (217 citations), History and Philosophy of Science (39 citations), Human-Computer Interaction (45 citations) and Philosophy (70 citations). Thomas Bührmann has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Ezequiel A. Di Paolo, Xabier E. Barandiaran, Harald Frenz, Marina Kolesnik, Markus Lappe and Eduardo J. Izquierdo. Their work appears in journals such as ACM Transactions on Applied Perception, Frontiers in Psychology, Frontiers in Human Neuroscience, Artificial Life and Phenomenology and the Cognitive Sciences.
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.