Volker Pernice

594 total citations
10 papers, 363 citations indexed

About

Volker Pernice is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Volker Pernice has authored 10 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Statistical and Nonlinear Physics and 4 papers in Artificial Intelligence. Recurrent topics in Volker Pernice's work include Neural dynamics and brain function (7 papers), stochastic dynamics and bifurcation (4 papers) and Quantum and electron transport phenomena (3 papers). Volker Pernice is often cited by papers focused on Neural dynamics and brain function (7 papers), stochastic dynamics and bifurcation (4 papers) and Quantum and electron transport phenomena (3 papers). Volker Pernice collaborates with scholars based in Germany, Burundi and France. Volker Pernice's co-authors include Stefan Rotter, Stefano Cardanobile, Benjamin Staude, Oliver Mülken, A. Blumen, Moritz Deger, Rava Azeredo da Silveira, Pierre LeVan and Jürgen Hennig and has published in prestigious journals such as PLoS ONE, PLoS Computational Biology and Journal of Statistical Mechanics Theory and Experiment.

In The Last Decade

Volker Pernice

10 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Volker Pernice Germany	7	234	114	97	74	52	10	363
Stefano Cardanobile Germany	11	280 1.2×	128 1.1×	196 2.0×	16 0.2×	47 0.9×	20	493
Antonio J. Pons Spain	10	140 0.6×	68 0.6×	45 0.5×	28 0.4×	27 0.5×	23	293
Pedro V. Carelli Brazil	13	351 1.5×	206 1.8×	114 1.2×	40 0.5×	33 0.6×	28	487
Sarah Marzen United States	12	136 0.6×	72 0.6×	35 0.4×	114 1.5×	32 0.6×	40	337
Javier Baladron Germany	11	206 0.9×	88 0.8×	80 0.8×	31 0.4×	7 0.1×	18	350
Aniello Buonocore Italy	12	162 0.7×	198 1.7×	37 0.4×	18 0.2×	23 0.4×	37	504
Takuma Tanaka Japan	12	150 0.6×	65 0.6×	92 0.9×	31 0.4×	7 0.1×	49	432
Jennifer Foss United States	4	298 1.3×	330 2.9×	70 0.7×	58 0.8×	18 0.3×	5	552
G. Salina Italy	10	131 0.6×	44 0.4×	103 1.1×	70 0.9×	49 0.9×	42	535
Fernando Montani Argentina	17	445 1.9×	165 1.4×	173 1.8×	98 1.3×	15 0.3×	42	598

Countries citing papers authored by Volker Pernice

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Volker Pernice

This figure shows the co-authorship network connecting the top 25 collaborators of Volker Pernice. A scholar is included among the top collaborators of Volker Pernice based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Volker Pernice. Volker Pernice is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Pernice, Volker, et al.. (2018). From correlation to causation: Estimating effective connectivity from zero-lag covariances of brain signals. PLoS Computational Biology. 14(3). e1006056–e1006056. 14 indexed citations

Pernice, Volker & Rava Azeredo da Silveira. (2018). Interpretation of correlated neural variability from models of feed-forward and recurrent circuits. PLoS Computational Biology. 14(2). e1005979–e1005979. 3 indexed citations

Pernice, Volker, Moritz Deger, Stefano Cardanobile, & Stefan Rotter. (2013). The relevance of network micro-structure for neural dynamics. Frontiers in Computational Neuroscience. 7. 72–72. 21 indexed citations

Pernice, Volker & Stefan Rotter. (2013). Reconstruction of sparse connectivity in neural networks from spike train covariances. Journal of Statistical Mechanics Theory and Experiment. 2013(3). P03008–P03008. 21 indexed citations

Pernice, Volker, Benjamin Staude, Stefano Cardanobile, & Stefan Rotter. (2012). Recurrent interactions in spiking networks with arbitrary topology. Physical Review E. 85(3). 31916–31916. 44 indexed citations

Cardanobile, Stefano, Volker Pernice, Moritz Deger, & Stefan Rotter. (2012). Inferring General Relations between Network Characteristics from Specific Network Ensembles. PLoS ONE. 7(6). e37911–e37911. 4 indexed citations

Pernice, Volker, Benjamin Staude, Stefano Cardanobile, & Stefan Rotter. (2011). How Structure Determines Correlations in Neuronal Networks. PLoS Computational Biology. 7(5). e1002059–e1002059. 182 indexed citations

Mülken, Oliver, Volker Pernice, & A. Blumen. (2008). Slow excitation trapping in quantum transport with long-range interactions. Physical Review E. 78(2). 21115–21115. 5 indexed citations

Mülken, Oliver, Volker Pernice, & A. Blumen. (2008). Universal behavior of quantum walks with long-range steps. Physical Review E. 77(2). 21117–21117. 11 indexed citations

10.

Mülken, Oliver, Volker Pernice, & A. Blumen. (2007). Quantum transport on small-world networks: A continuous-time quantum walk approach. Physical Review E. 76(5). 51125–51125. 58 indexed citations

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.

Explore authors with similar magnitude of impact