Michael Avermann
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Neural dynamics and brain function 7
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- Photoreceptor and optogenetics research 4
- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 2
- Co-authors
- Carl C.H. Petersen (7 shared papers)Luc J. Gentet (2 shared papers)Ferenc Mátyás (1 shared paper)Jochen F. Staiger (1 shared paper)Wulfram Gerstner (5 shared papers)Céline Matéo (2 shared papers)Christian Tomm (3 shared papers)Karl Deisseroth (1 shared paper)
- Journals
- Journal of Neurophysiology (3 papers)BMC Neuroscience (2 papers)Neuron (1 paper)Current Biology (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Michael Avermann
7 papers receiving 647 citations
Peers
Comparison fields: 5 of 45
- Cognitive Neuroscience 592
- Cellular and Molecular Neuroscience 523
- Statistical and Nonlinear Physics 59
- Sensory Systems 21
- Neurology 18
Countries citing papers authored by Michael Avermann
This map shows the geographic impact of Michael Avermann'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 Avermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Avermann more than expected).
Fields of papers citing papers by Michael Avermann
This network shows the impact of papers produced by Michael Avermann. 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 Avermann. The network helps show where Michael Avermann may publish in the future.
Co-authors
The 13 scholars most cited alongside Michael Avermann, 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 | 2010 | 324 | |
| 2 | 2012 | 164 | |
| 3 | 2011 | 82 | |
| 4 | 2011 | 69 | |
| 5 | 2014 | 8 | |
| 6 | 2011 | 2 | |
| 7 | 2011 | 1 |
About Michael Avermann
Michael Avermann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 7 papers that have together received 650 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Photoreceptor and optogenetics research (4 papers), Advanced Memory and Neural Computing (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroscience and Neural Engineering (2 papers), Neural Networks and Applications (1 paper) and stochastic dynamics and bifurcation (1 paper). The work is most often cited by research in Cognitive Neuroscience (592 citations), Cellular and Molecular Neuroscience (523 citations), Statistical and Nonlinear Physics (59 citations), Sensory Systems (21 citations) and Neurology (18 citations). Michael Avermann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Carl C.H. Petersen, Luc J. Gentet, Ferenc Mátyás, Jochen F. Staiger, Wulfram Gerstner, Céline Matéo, Christian Tomm, Karl Deisseroth, Feng Zhang and Skander Mensi. Their work appears in journals such as Journal of Neurophysiology, BMC Neuroscience, Neuron and Current 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.