Volker Pernice
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
-
- stochastic dynamics and bifurcation
Papers in
-
- Neural dynamics and brain function 7
- Functional Brain Connectivity Studies 2
-
- stochastic dynamics and bifurcation 4
- Co-authors
- Stefan Rotter (6 shared papers)Stefano Cardanobile (4 shared papers)Benjamin Staude (2 shared papers)Oliver Mülken (3 shared papers)A. Blumen (3 shared papers)Moritz Deger (2 shared papers)Jürgen Hennig (1 shared paper)Pierre LeVan (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)PLoS ONE (1 paper)Frontiers in Computational Neuroscience (1 paper)Journal of Statistical Mechanics Theory and Experiment (1 paper)Physical Review E (4 papers)
- Partner nations
- GermanyUnited StatesBurundi
In The Last Decade
Volker Pernice
10 papers receiving 370 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 237
- Statistical and Nonlinear Physics 115
- Cellular and Molecular Neuroscience 98
- Applied Mathematics 24
- Artificial Intelligence 78
Countries citing papers authored by Volker Pernice
This map shows the geographic impact of Volker Pernice'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 Volker Pernice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker Pernice more than expected).
Fields of papers citing papers by Volker Pernice
This network shows the impact of papers produced by Volker Pernice. 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 Volker Pernice. The network helps show where Volker Pernice may publish in the future.
Co-authors
The 9 scholars most cited alongside Volker Pernice, 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 | 2011 | 189 | |
| 2 | 2007 | 61 | |
| 3 | 2012 | 46 | |
| 4 | 2013 | 22 | |
| 5 | 2013 | 22 | |
| 6 | 2018 | 14 | |
| 7 | 2008 | 11 | |
| 8 | 2008 | 6 | |
| 9 | 2012 | 5 | |
| 10 | 2018 | 3 |
About Volker Pernice
Volker Pernice is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Networks and Communications, having authored 10 papers that have together received 379 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), stochastic dynamics and bifurcation (4 papers), Quantum and electron transport phenomena (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Quantum Information and Cryptography (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Functional Brain Connectivity Studies (2 papers) and Neural Networks and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (237 citations), Statistical and Nonlinear Physics (115 citations), Cellular and Molecular Neuroscience (98 citations), Applied Mathematics (24 citations) and Artificial Intelligence (78 citations). Volker Pernice has collaborated with scholars based in Germany, United States and Burundi. Frequent co-authors include Stefan Rotter, Stefano Cardanobile, Benjamin Staude, Oliver Mülken, A. Blumen, Moritz Deger, Jürgen Hennig, Pierre LeVan and Rava Azeredo da Silveira. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Frontiers in Computational Neuroscience, Journal of Statistical Mechanics Theory and Experiment and Physical Review E.
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.