Viktor Jirsa

26.0k total citations · 10 hit papers
274 papers, 15.4k citations indexed

About

Viktor Jirsa is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Viktor Jirsa has authored 274 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 247 papers in Cognitive Neuroscience, 60 papers in Radiology, Nuclear Medicine and Imaging and 41 papers in Cellular and Molecular Neuroscience. Recurrent topics in Viktor Jirsa's work include Neural dynamics and brain function (176 papers), Functional Brain Connectivity Studies (164 papers) and EEG and Brain-Computer Interfaces (64 papers). Viktor Jirsa is often cited by papers focused on Neural dynamics and brain function (176 papers), Functional Brain Connectivity Studies (164 papers) and EEG and Brain-Computer Interfaces (64 papers). Viktor Jirsa collaborates with scholars based in France, United States and Germany. Viktor Jirsa's co-authors include Gustavo Deco, Anthony R. McIntosh, J. A. Scott Kelso, Hermann Haken, Christophe Bernard, Fabrice Bartoloméi, Mingzhou Ding, Petra Ritter, Andreas Spiegler and Maxime Guye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Neuron.

In The Last Decade

Viktor Jirsa

261 papers receiving 15.1k citations

Hit Papers

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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.

Emerging concepts for the dynamical organization of resting-state activity in the brain

2010 1.2k citations Gustavo Deco, Viktor Jirsa et al. profile →
The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields

2008 706 citations Gustavo Deco, Viktor Jirsa et al. profile →
Key role of coupling, delay, and noise in resting brain fluctuations

2009 538 citations Gustavo Deco, Viktor Jirsa et al. Proceedings of the National Academy of Sciences profile →
Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors

2012 474 citations Gustavo Deco, Viktor Jirsa profile →
On the nature of seizure dynamics

2014 470 citations Viktor Jirsa, Christophe Bernard et al. profile →
Defining epileptogenic networks: Contribution of SEEG and signal analysis

2017 405 citations Viktor Jirsa et al. profile →
Field Theory of Electromagnetic Brain Activity

1996 359 citations Viktor Jirsa et al. profile →
Functional connectivity dynamics: Modeling the switching behavior of the resting state

2014 354 citations Enrique C. A. Hansen, Demian Battaglia et al. NeuroImage profile →
The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core

2017 304 citations Gustavo Deco, Morten L. Kringelbach et al. Scientific Reports profile →
Personalised virtual brain models in epilepsy

2023 76 citations Viktor Jirsa, Huifang Wang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Viktor Jirsa	13.3k	2.9k	2.4k	2.1k	1.7k	274	15.4k
Gustavo Deco	20.0k 1.5×	4.2k 1.5×	3.5k 1.5×	1.7k 0.8×	1.2k 0.7×	529	24.0k
Michael Breakspear	16.3k 1.2×	4.4k 1.5×	2.1k 0.9×	1.4k 0.7×	1.1k 0.6×	258	20.7k
Dante R. Chialvo	7.3k 0.5×	1.1k 0.4×	1.6k 0.7×	2.6k 1.3×	1.4k 0.8×	129	11.9k
Jacques Martinerie	12.9k 1.0×	550 0.2×	2.6k 1.1×	1.3k 0.6×	1.1k 0.7×	101	14.8k
Claus C. Hilgetag	7.2k 0.5×	1.9k 0.7×	1.0k 0.4×	1.1k 0.5×	661 0.4×	159	9.6k
Xiao‐Jing Wang	20.5k 1.5×	1.0k 0.4×	9.2k 3.9×	2.5k 1.2×	1.1k 0.7×	212	24.7k
Rolf Kötter	8.0k 0.6×	3.0k 1.0×	1.8k 0.8×	715 0.3×	447 0.3×	75	9.9k
Andreas K. Engel	27.2k 2.0×	1.0k 0.4×	9.0k 3.8×	1.7k 0.8×	1.4k 0.8×	309	31.7k
Andreas Daffertshofer	6.7k 0.5×	861 0.3×	729 0.3×	968 0.5×	627 0.4×	202	10.9k
Eugenio Rodríguez	9.9k 0.7×	508 0.2×	2.4k 1.0×	695 0.3×	737 0.4×	59	11.3k

Countries citing papers authored by Viktor Jirsa

Since Specialization

Citations

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

Fields of papers citing papers by Viktor Jirsa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Jirsa

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Jirsa. A scholar is included among the top collaborators of Viktor Jirsa 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 Viktor Jirsa. Viktor Jirsa 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

Depannemaecker, Damien, et al.. (2025). Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks. Neural Computation. 37(6). 1102–1123.

Williamson, Adam, Florian Missey, Emma Acerbo, et al.. (2025). Clinical Results of Non-invasive Deep Brain Stimulation in Epilepsy and Parkinson’s patients using Temporal Interference. Brain stimulation. 18(1). 219–219.

Perl, Yonatan Sanz, Jakub Vohryzek, Viktor Jirsa, et al.. (2025). Modelling low-dimensional interacting brain networks reveals organising principle in human cognition. Network Neuroscience. 9(2). 661–681. 1 indexed citations

Steiner, Melanie, Taylor Newton, Bryn Lloyd, et al.. (2025). Precision non-invasive brain stimulation: an in silico pipeline for personalized control of brain dynamics. Journal of Neural Engineering. 22(2). 26061–26061. 2 indexed citations

Fousek, Jan, et al.. (2025). Spatiotemporal brain complexity quantifies consciousness outside of perturbation paradigms. eLife.

Minino, Roberta, Marianna Liparoti, Arianna Polverino, et al.. (2024). Flexibility of brain dynamics is increased and predicts clinical impairment in relapsing–remitting but not in secondary progressive multiple sclerosis. Brain Communications. 6(2). fcae112–fcae112. 3 indexed citations

Petkoski, Spase, et al.. (2023). State-switching and high-order spatiotemporal organization of dynamic functional connectivity are disrupted by Alzheimer’s disease. Network Neuroscience. 7(4). 1–32. 8 indexed citations

Sorrentino, Pierpaolo, Fabio Baselice, Emahnuel Troisi Lopez, et al.. (2022). Dynamical interactions reconfigure the gradient of cortical timescales. Network Neuroscience. 7(1). 73–85. 13 indexed citations

Hashemi, Meysam, et al.. (2022). Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo. Machine Learning Science and Technology. 3(3). 35016–35016. 19 indexed citations

10.

Petkoski, Spase, Petra Ritter, & Viktor Jirsa. (2022). White-matter degradation and dynamical compensation support age-related functional alterations in human brain. Cerebral Cortex. 33(10). 6241–6256. 22 indexed citations

11.

Petkoski, Spase & Viktor Jirsa. (2022). Normalizing the brain connectome for communication through synchronization. Network Neuroscience. 6(3). 722–744. 20 indexed citations

12.

Jirsa, Viktor, Spase Petkoski, Huifang Wang, et al.. (2022). Integrating psychosocial variables and societal diversity in epidemic models for predicting COVID-19 transmission dynamics. SHILAP Revista de lepidopterología. 1(8). e0000098–e0000098. 2 indexed citations

13.

Sorrentino, Pierpaolo, Caio Seguin, Rosaria Rucco, et al.. (2021). The structural connectome constrains fast brain dynamics. eLife. 10. 46 indexed citations

14.

Sheheitli, Hiba & Viktor Jirsa. (2020). A mathematical model of ephaptic interactions in neuronal fiber pathways: Could there be more than transmission along the tracts?. Network Neuroscience. 4(3). 595–610. 15 indexed citations

15.

Spiegler, Andreas, et al.. (2020). In silico exploration of mouse brain dynamics by focal stimulation reflects the organization of functional networks and sensory processing. Network Neuroscience. 4(3). 807–851. 11 indexed citations

16.

Bergmann, Eyal, et al.. (2019). Individual structural features constrain the mouse functional connectome. Proceedings of the National Academy of Sciences. 116(52). 26961–26969. 48 indexed citations

17.

Amunts, Katrin, Alois Knoll, Thomas Lippert, et al.. (2019). The Human Brain Project—Synergy between neuroscience, computing, informatics, and brain-inspired technologies. PLoS Biology. 17(7). e3000344–e3000344. 53 indexed citations

18.

Huys, Raoul, et al.. (2017). Ebbinghaus figures that deceive the eye do not necessarily deceive the hand. Scientific Reports. 7(1). 3111–3111. 10 indexed citations

19.

Spiegler, Andreas, Enrique C. A. Hansen, Christophe Bernard, Anthony R. McIntosh, & Viktor Jirsa. (2016). Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain. eNeuro. 3(5). ENEURO.0068–16.2016. 58 indexed citations

20.

Hunold, Alexander, et al.. (2016). Transcranial direct current stimulation changes resting state functional connectivity: A large-scale brain network modeling study. NeuroImage. 140. 174–187. 119 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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