Michael Lindner
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
Papers in
-
- Functional Brain Connectivity Studies 11
- Neural dynamics and brain function 10
- Neural and Behavioral Psychology Studies 5
- Visual perception and processing mechanisms 2
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- stochastic dynamics and bifurcation 3
- Co-authors
- Raúl VicenteMichael WibralGordon PipaDavid E.J. LindenViola PriesemannKonrad MaurerCorinna HaenschelPeter J. Uhlhaas
- Journals
- Journal of Neuroscience (3 papers)BMC Neuroscience (2 papers)PLoS ONE (2 papers)Surface and Coatings Technology (1 paper)Progress in Biophysics and Molecular Biology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Michael Lindner
23 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cognitive Neuroscience 1.3k
- Statistical and Nonlinear Physics 222
- Cellular and Molecular Neuroscience 304
- Experimental and Cognitive Psychology 137
- Biological Psychiatry 19
Countries citing papers authored by Michael Lindner
This map shows the geographic impact of Michael Lindner'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 Lindner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lindner more than expected).
Fields of papers citing papers by Michael Lindner
This network shows the impact of papers produced by Michael Lindner. 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 Lindner. The network helps show where Michael Lindner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Lindner, 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 | 2023 | 1 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 24 | |
| 5 | 2020 | 16 | |
| 6 | 2020 | 8 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 6 | |
| 9 | 2017 | 21 | |
| 10 | 2017 | 16 | |
| 11 | 2014 | 30 | |
| 12 | 2013 | 192 | |
| 13 | 2013 | 15 | |
| 14 | 2012 | 30 | |
| 15 | 2011 | 176 | |
| 16 | 2010 | 111 | |
| 17 | Transfer entropy—a model-free measure of effective connectivity for the neurosciences Hit paper breakdown → | 2010 | 669 |
| 18 | 2009 | 2 | |
| 19 | 2008 | 30 | |
| 20 | 2006 | 339 |
About Michael Lindner
Michael Lindner is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (10 papers), Advanced MRI Techniques and Applications (5 papers), Neural and Behavioral Psychology Studies (5 papers), Neural Networks and Applications (4 papers), stochastic dynamics and bifurcation (3 papers), Action Observation and Synchronization (3 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Statistical and Nonlinear Physics (222 citations), Cellular and Molecular Neuroscience (304 citations), Experimental and Cognitive Psychology (137 citations) and Biological Psychiatry (19 citations). Michael Lindner has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Raúl Vicente, Michael Wibral, Gordon Pipa, David E.J. Linden, Viola Priesemann, Konrad Maurer, Corinna Haenschel, Peter J. Uhlhaas, Wolf Singer and Eugenio Rodríguez. Their work appears in journals such as Journal of Neuroscience, BMC Neuroscience, PLoS ONE, Surface and Coatings Technology and Progress in Biophysics and Molecular Biology.
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.