Michael Wibral
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 75
- Functional Brain Connectivity Studies 40
- EEG and Brain-Computer Interfaces 27
- Neural and Behavioral Psychology Studies 11
- Visual perception and processing mechanisms 10
- Neuroscience and Music Perception 9
- Modeling and Simulation top 0.5%
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- Neuroscience and Neuropharmacology Research 9
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- Neural Networks and Applications 17
- Co-authors
- Viola PriesemannRaúl VicenteWolf SingerMichael LindnerGordon PipaPeter J. UhlhaasJoseph T. LizierChristoph Bledowski
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Michael Wibral
96 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cognitive Neuroscience 5.2k
- Modeling and Simulation 416
- Cellular and Molecular Neuroscience 1.2k
- Statistical and Nonlinear Physics 495
- Experimental and Cognitive Psychology 503
Countries citing papers authored by Michael Wibral
This map shows the geographic impact of Michael Wibral'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 Wibral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wibral more than expected).
Fields of papers citing papers by Michael Wibral
This network shows the impact of papers produced by Michael Wibral. 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 Wibral. The network helps show where Michael Wibral may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Wibral, 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 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 59 | |
| 7 | 2020 | 9 | |
| 8 | Inferring change points in the spread of COVID-19 reveals the effectiveness of interventionsbreakdown → | 2020 | 517 |
| 9 | 2020 | 11 | |
| 10 | 2018 | 121 | |
| 11 | 2017 | 53 | |
| 12 | 2013 | 192 | |
| 13 | 2013 | 125 | |
| 14 | 2012 | 126 | |
| 15 | 2012 | 236 | |
| 16 | 2011 | 176 | |
| 17 | 2009 | 238 | |
| 18 | 2007 | 77 | |
| 19 | 2006 | 117 | |
| 20 | 2004 | 457 |
About Michael Wibral
Michael Wibral is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 97 papers that have together received 6.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (75 papers), Functional Brain Connectivity Studies (40 papers), EEG and Brain-Computer Interfaces (27 papers), Neural Networks and Applications (17 papers), Neural and Behavioral Psychology Studies (11 papers), Visual perception and processing mechanisms (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neuroscience and Music Perception (9 papers). The work is most often cited by research in Cognitive Neuroscience (5.2k citations), Modeling and Simulation (416 citations), Cellular and Molecular Neuroscience (1.2k citations), Statistical and Nonlinear Physics (495 citations) and Experimental and Cognitive Psychology (503 citations). Michael Wibral has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Viola Priesemann, Raúl Vicente, Wolf Singer, Michael Lindner, Gordon Pipa, Peter J. Uhlhaas, Joseph T. Lizier, Christoph Bledowski, David E.J. Linden and Jaan Aru. Their work appears in journals such as Journal of Neuroscience, BMC Neuroscience, NeuroImage, PLoS Computational Biology and Human Brain Mapping.
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.