Michael Gerstenberger
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Neuroscience and Music Perception
- Social Psychology top 10%
- Action Observation and Synchronization
Papers in
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- Data Visualization and Analytics 1
- Co-authors
- Felix Schreiber (1 shared paper)Artur Czeszumski (1 shared paper)Anne Lang (1 shared paper)Peter König (1 shared paper)Sebastian Bosse (2 shared papers)Peter Eisert (2 shared papers)Juliana Martins de Souza e Silva (1 shared paper)Martin Steinhart (1 shared paper)
- Journals
- Frontiers in Human Neuroscience (1 paper)The Journal of Physical Chemistry C (1 paper)Lecture notes in computer science (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- Germany
In The Last Decade
Michael Gerstenberger
4 papers receiving 352 citations
Michael Gerstenberger's Hit Papers
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 232
- Social Psychology 157
- Experimental and Cognitive Psychology 45
- Human-Computer Interaction 12
- Developmental and Educational Psychology 25
Countries citing papers authored by Michael Gerstenberger
This map shows the geographic impact of Michael Gerstenberger'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 Michael Gerstenberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gerstenberger more than expected).
Fields of papers citing papers by Michael Gerstenberger
This network shows the impact of papers produced by Michael Gerstenberger. 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 Michael Gerstenberger. The network helps show where Michael Gerstenberger may publish in the future.
Co-authors
The 11 scholars most cited alongside Michael Gerstenberger, 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 | Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction Hit paper breakdown → | 2020 | 343 |
| 2 | 2021 | 5 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 |
About Michael Gerstenberger
Michael Gerstenberger is a scholar working on Computer Vision and Pattern Recognition, Surfaces, Coatings and Films, Information Systems and Management, Environmental Engineering and Cognitive Neuroscience, having authored 4 papers that have together received 355 indexed citations. Recurring topics across this work include Software Engineering Research (1 paper), Data Visualization and Analytics (1 paper), Scientific Computing and Data Management (1 paper), Neural dynamics and brain function (1 paper), Anodic Oxide Films and Nanostructures (1 paper), Nanopore and Nanochannel Transport Studies (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Smart Agriculture and AI (1 paper). The work is most often cited by research in Cognitive Neuroscience (232 citations), Social Psychology (157 citations), Experimental and Cognitive Psychology (45 citations), Human-Computer Interaction (12 citations) and Developmental and Educational Psychology (25 citations). Michael Gerstenberger has collaborated with scholars based in Germany. Frequent co-authors include Felix Schreiber, Artur Czeszumski, Anne Lang, Peter König, Sebastian Bosse, Peter Eisert, Juliana Martins de Souza e Silva, Martin Steinhart, Ralf B. Wehrspohn and Patrick Huber. Their work appears in journals such as Frontiers in Human Neuroscience, The Journal of Physical Chemistry C, Lecture notes in computer science and Fraunhofer-Publica (Fraunhofer-Gesellschaft).
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.