Viola Priesemann

6.6k total citations · 2 hit papers
70 papers, 3.2k citations indexed

About

Viola Priesemann is a scholar working on Cognitive Neuroscience, Modeling and Simulation and Cellular and Molecular Neuroscience. According to data from OpenAlex, Viola Priesemann has authored 70 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 16 papers in Modeling and Simulation and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Viola Priesemann's work include Neural dynamics and brain function (41 papers), COVID-19 epidemiological studies (16 papers) and Functional Brain Connectivity Studies (15 papers). Viola Priesemann is often cited by papers focused on Neural dynamics and brain function (41 papers), COVID-19 epidemiological studies (16 papers) and Functional Brain Connectivity Studies (15 papers). Viola Priesemann collaborates with scholars based in Germany, United Kingdom and Australia. Viola Priesemann's co-authors include Michael Wibral, Joseph T. Lizier, Johannes Zierenberg, Jonas Dehning, F. Paul Spitzner, João Pinheiro Neto, Michael Wilczek, Jens Wilting, Raúl Vicente and Michael Lindner and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Viola Priesemann

65 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions

2020 517 citations Jonas Dehning, Johannes Zierenberg et al. Science profile →
Spike avalanches in vivo suggest a driven, slightly subcritical brain state

2014 418 citations Viola Priesemann profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Viola Priesemann Germany	25	1.9k	585	532	402	329	70	3.2k
Michael Wibral Germany	41	5.2k 2.7×	1.2k 2.0×	416 0.8×	495 1.2×	446 1.4×	97	6.9k
Henry C. Tuckwell Australia	30	2.0k 1.1×	931 1.6×	262 0.5×	1.6k 4.1×	60 0.2×	116	3.7k
Krasimira Tsaneva‐Atanasova United Kingdom	33	603 0.3×	493 0.8×	142 0.3×	431 1.1×	59 0.2×	151	4.0k
John Milton United States	42	2.4k 1.2×	502 0.9×	82 0.2×	1.4k 3.5×	245 0.7×	156	5.4k
Steven B. Lowen United States	31	1.2k 0.6×	426 0.7×	43 0.1×	744 1.9×	508 1.5×	68	3.1k
William R. Holmes United States	32	908 0.5×	1.1k 1.9×	111 0.2×	140 0.3×	76 0.2×	103	3.4k
Marko Marhl Slovenia	31	616 0.3×	375 0.6×	128 0.2×	1.3k 3.2×	90 0.3×	104	3.3k
Thomas V. Wiecki United States	16	1.9k 1.0×	316 0.5×	43 0.1×	58 0.1×	148 0.4×	26	4.2k
Giovanni Petri Italy	27	564 0.3×	140 0.2×	159 0.3×	1.0k 2.6×	135 0.4×	59	2.7k
Dmitry Kobak Germany	15	639 0.3×	385 0.7×	140 0.3×	26 0.1×	72 0.2×	26	2.0k

Countries citing papers authored by Viola Priesemann

Since Specialization

Citations

This map shows the geographic impact of Viola Priesemann'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 Viola Priesemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viola Priesemann more than expected).

Fields of papers citing papers by Viola Priesemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viola Priesemann. 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 Viola Priesemann. The network helps show where Viola Priesemann may publish in the future.

Co-authorship network of co-authors of Viola Priesemann

This figure shows the co-authorship network connecting the top 25 collaborators of Viola Priesemann. A scholar is included among the top collaborators of Viola Priesemann 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 Viola Priesemann. Viola Priesemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wagner, Joël, et al.. (2025). Societal self-regulation induces complex infection dynamics and chaos. Physical Review Research. 7(1). 2 indexed citations

Müller, Laura, et al.. (2025). Testing paradox may explain increased observed prevalence of bacterial STIs among MSM on HIV PrEP: A modeling study. Proceedings of the National Academy of Sciences. 122(44). e2524944122–e2524944122.

Priesemann, Viola, et al.. (2025). A general framework for interpretable neural learning based on local information-theoretic goal functions. Proceedings of the National Academy of Sciences. 122(10). e2408125122–e2408125122. 3 indexed citations

Banisch, Sven, et al.. (2024). Coupled infectious disease and behavior dynamics. A review of model assumptions. Reports on Progress in Physics. 88(1). 16601–16601. 1 indexed citations

Spitzner, F. Paul, et al.. (2024). Signatures of hierarchical temporal processing in the mouse visual system. PLoS Computational Biology. 20(8). e1012355–e1012355. 3 indexed citations

Dehning, Jonas, et al.. (2023). Propagation of activity through the cortical hierarchy and perception are determined by neural variability. Nature Neuroscience. 26(9). 1584–1594. 14 indexed citations

Yamamoto, Hideaki, F. Paul Spitzner, Tomohiro Konno, et al.. (2023). Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Science Advances. 9(34). eade1755–eade1755. 20 indexed citations

Contreras, Sebastián, Emil N. Iftekhar, & Viola Priesemann. (2023). From emergency response to long-term management: the many faces of the endemic state of COVID-19. The Lancet Regional Health - Europe. 30. 100664–100664. 24 indexed citations

Contreras, Sebastián, Joël Wagner, David Medina-Ortiz, et al.. (2023). Model-based assessment of sampling protocols for infectious disease genomic surveillance. Chaos Solitons & Fractals. 167. 113093–113093. 4 indexed citations

10.

Dehning, Jonas, Sebastian Mohr, Sebastián Contreras, et al.. (2023). Impact of the Euro 2020 championship on the spread of COVID-19. Nature Communications. 14(1). 122–122. 7 indexed citations

11.

Dehning, Jonas, et al.. (2023). Evaluating vaccine allocation strategies using simulation-assisted causal modeling. Patterns. 4(6). 100739–100739. 4 indexed citations

12.

Priesemann, Viola, et al.. (2022). Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference. Neural Computation. 35(1). 27–37. 3 indexed citations

13.

Contreras, Sebastián, et al.. (2022). New year, new SARS-CoV-2 variant: Resolutions on genomic surveillance protocols to face Omicron. The Lancet Regional Health - Americas. 7. 100203–100203. 7 indexed citations

14.

Contreras, Sebastián, et al.. (2021). Low case numbers enable long-term stable pandemic control without lockdowns. Science Advances. 7(41). eabg2243–eabg2243. 27 indexed citations

15.

Contreras, Sebastián, Álvaro Olivera‐Nappa, & Viola Priesemann. (2021). Rethinking COVID-19 vaccine allocation: it is time to care about our neighbours. The Lancet Regional Health - Europe. 12. 100277–100277. 5 indexed citations

16.

Dehning, Jonas, Johannes Zierenberg, F. Paul Spitzner, et al.. (2020). Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science. 369(6500). 517 indexed citations breakdown →

17.

Priesemann, Viola & Jens Wilting. (2018). Inferring collective dynamical states from subsampled systems. Bulletin of the American Physical Society. 2018. 1 indexed citations

18.

Levina, Anna & Viola Priesemann. (2017). Subsampling scaling. Nature Communications. 8(1). 15140–15140. 62 indexed citations

19.

Wibral, Michael, Viola Priesemann, Felix Siebenhühner, et al.. (2013). Measuring Information-Transfer Delays. PLoS ONE. 8(2). e55809–e55809. 192 indexed citations

20.

Lindner, Michael, Raúl Vicente, Viola Priesemann, & Michael Wibral. (2011). TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropy. BMC Neuroscience. 12(1). 119–119. 176 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.

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