Moritz Deger
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- stochastic dynamics and bifurcation
Papers in
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- Neural dynamics and brain function 19
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- stochastic dynamics and bifurcation 11
- Co-authors
- Wulfram Gerstner (8 shared papers)Tilo Schwalger (3 shared papers)Stefan Rotter (9 shared papers)Moritz Helias (7 shared papers)Markus Diesmann (3 shared papers)Wilson Truccolo (1 shared paper)Felipe Gerhard (1 shared paper)Stefano Cardanobile (4 shared papers)
- Journals
- PLoS Computational Biology (6 papers)BMC Neuroscience (4 papers)Biological Cybernetics (1 paper)Cerebral Cortex (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- GermanySwitzerlandJapan
In The Last Decade
Moritz Deger
20 papers receiving 398 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 343
- Statistical and Nonlinear Physics 134
- Cellular and Molecular Neuroscience 172
- Computer Networks and Communications 59
- Electrical and Electronic Engineering 130
Countries citing papers authored by Moritz Deger
This map shows the geographic impact of Moritz Deger'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 Moritz Deger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Deger more than expected).
Fields of papers citing papers by Moritz Deger
This network shows the impact of papers produced by Moritz Deger. 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 Moritz Deger. The network helps show where Moritz Deger may publish in the future.
Co-authors
The 23 scholars most cited alongside Moritz Deger, 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 | 92 | |
| 2 | 2019 | 43 | |
| 3 | 2017 | 35 | |
| 4 | 2014 | 30 | |
| 5 | 2012 | 28 | |
| 6 | 2010 | 26 | |
| 7 | 2013 | 21 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2015 | 17 | |
| 11 | 2011 | 16 | |
| 12 | 2017 | 16 | |
| 13 | 2010 | 16 | |
| 14 | 2018 | 7 | |
| 15 | 2011 | 7 | |
| 16 | 2012 | 4 | |
| 17 | 2009 | 4 | |
| 18 | 2015 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2014 | 1 |
About Moritz Deger
Moritz Deger is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 20 papers that have together received 402 indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), stochastic dynamics and bifurcation (11 papers), Photoreceptor and optogenetics research (6 papers), Advanced Memory and Neural Computing (5 papers), Neuroscience and Neural Engineering (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Ecosystem dynamics and resilience (1 paper). The work is most often cited by research in Cognitive Neuroscience (343 citations), Statistical and Nonlinear Physics (134 citations), Cellular and Molecular Neuroscience (172 citations), Computer Networks and Communications (59 citations) and Electrical and Electronic Engineering (130 citations). Moritz Deger has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Wulfram Gerstner, Tilo Schwalger, Stefan Rotter, Moritz Helias, Markus Diesmann, Wilson Truccolo, Felipe Gerhard, Stefano Cardanobile, Richard Naud and Volker Pernice. Their work appears in journals such as PLoS Computational Biology, BMC Neuroscience, Biological Cybernetics, Cerebral Cortex and Frontiers in Neuroscience.
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.