Jaroslav Hlinka

3.6k total citations
90 papers, 2.3k citations indexed

About

Jaroslav Hlinka is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Statistical and Nonlinear Physics. According to data from OpenAlex, Jaroslav Hlinka has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 21 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Jaroslav Hlinka's work include Functional Brain Connectivity Studies (42 papers), Neural dynamics and brain function (35 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Jaroslav Hlinka is often cited by papers focused on Functional Brain Connectivity Studies (42 papers), Neural dynamics and brain function (35 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Jaroslav Hlinka collaborates with scholars based in Czechia, Germany and United Kingdom. Jaroslav Hlinka's co-authors include Milan Paluš, Martin Vejmelka, David Hartman, Dorothee P. Auer, Nikola Jajcay, Robert A. Dineen, Cris S. Constantinescu, Paul S. Morgan, Janek Vilisaar and Dante Mantini and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Neuroscience.

In The Last Decade

Jaroslav Hlinka

82 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaroslav Hlinka Czechia 25 1.2k 396 320 308 238 90 2.3k
Sebastiano Stramaglia Italy 28 1.7k 1.5× 361 0.9× 71 0.2× 405 1.3× 143 0.6× 143 3.0k
Daniele Marinazzo Belgium 41 3.9k 3.3× 892 2.3× 77 0.2× 477 1.5× 144 0.6× 171 5.6k
Steven B. Lowen United States 31 1.2k 1.0× 146 0.4× 162 0.5× 744 2.4× 16 0.1× 68 3.1k
Péter Hermán United States 28 1.4k 1.2× 1.0k 2.6× 48 0.1× 161 0.5× 50 0.2× 81 3.3k
Shan Yu China 27 1.6k 1.4× 142 0.4× 52 0.2× 434 1.4× 28 0.1× 95 2.7k
Vadim V. Nikulin Germany 43 5.3k 4.6× 278 0.7× 39 0.1× 251 0.8× 61 0.3× 227 7.4k
Lionel Barnett United Kingdom 19 2.0k 1.7× 252 0.6× 166 0.5× 484 1.6× 8 0.0× 32 3.5k
Matthew Cieslak United States 24 1.5k 1.3× 594 1.5× 113 0.4× 86 0.3× 24 0.1× 86 2.7k
Adam B. Barrett United Kingdom 27 2.6k 2.2× 157 0.4× 102 0.3× 353 1.1× 14 0.1× 46 4.5k
Pablo Balenzuela Argentina 16 1.3k 1.1× 275 0.7× 38 0.1× 378 1.2× 11 0.0× 45 1.7k

Countries citing papers authored by Jaroslav Hlinka

Since Specialization
Citations

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

Fields of papers citing papers by Jaroslav Hlinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaroslav Hlinka

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

All Works

20 of 20 papers shown
1.
Hartman, David, et al.. (2025). Computing Approximate Global Symmetry of Complex Networks with Application to Brain Lateral Symmetry. Information Systems Frontiers. 1 indexed citations
2.
Fraza, Charlotte, Marián Kolenič, Christian F. Beckmann, et al.. (2025). Using normative models pre-trained on cross-sectional data to evaluate intra-individual longitudinal changes in neuroimaging data. eLife. 13. 2 indexed citations
3.
Marquand, André F., Veenu Gupta, Charlotte Fraza, et al.. (2025). Learning Latent Profiles via Cognitive Growth Charting in Psychosis: Design and Rationale for the PRECOGNITION Project. Schizophrenia Bulletin Open. 6(1). sgaf007–sgaf007. 1 indexed citations
4.
Tomeček, David, Iveta Fajnerová, Filip Děchtěrenko, et al.. (2025). Deviation From Typical Brain Activity During Naturalistic Stimulation Is Related to Personality Traits. Psychophysiology. 62(12). e70203–e70203.
5.
Hlinka, Jaroslav, et al.. (2025). Amplitude entropy captures chimera resembling behavior in the altered brain dynamics during seizures. Scientific Reports. 15(1). 14212–14212.
6.
Čapek, Václav, Antonín Škoch, Miloslav Kopeček, et al.. (2024). Longitudinal assessment of ventricular volume trajectories in early-stage schizophrenia: evidence of both enlargement and shrinkage. BMC Psychiatry. 24(1). 309–309.
7.
Jiruška, Přemysl, et al.. (2023). Personalized dynamic network models of the human brain as a future tool for planning and optimizing epilepsy therapy. Epilepsia. 64(9). 2221–2238. 10 indexed citations
8.
Hlinka, Jaroslav, et al.. (2023). Sign patterns symbolization and its use in improved dependence test for complex network inference. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(8). 1 indexed citations
9.
Kopál, Jakub, Jaroslav Hlinka, Luc Valton, et al.. (2023). Large‐scale network dynamics underlying the first few hundred milliseconds after stimulus presentation: An investigation of visual recognition memory using iEEG. Human Brain Mapping. 44(17). 5795–5809. 2 indexed citations
10.
Jajcay, Nikola & Jaroslav Hlinka. (2023). Towards a dynamical understanding of microstate analysis of M/EEG data. NeuroImage. 281. 120371–120371. 5 indexed citations
11.
Jajcay, Nikola, Radek Janča, Petr Ježdík, et al.. (2023). Computational modeling allows unsupervised classification of epileptic brain states across species. Scientific Reports. 13(1). 13436–13436. 4 indexed citations
12.
Tomeček, David, et al.. (2022). Brain Functional Connectivity Asymmetry: Left Hemisphere Is More Modular. Symmetry. 14(4). 833–833. 5 indexed citations
13.
Mareš, Jan, Antonín Škoch, Jakub Kopál, et al.. (2022). Multimodal-neuroimaging machine-learning analysis of motor disability in multiple sclerosis. Brain Imaging and Behavior. 17(1). 18–34. 7 indexed citations
14.
Bakštein, Eduard, Marián Kolenič, Jaroslav Hlinka, et al.. (2021). Validity of the Aktibipo Self-rating Questionnaire for the Digital Self-assessment of Mood and Relapse Detection in Patients With Bipolar Disorder: Instrument Validation Study. JMIR Mental Health. 8(8). e26348–e26348. 3 indexed citations
15.
Janča, Radek, Alena Jahodová, Jaroslav Hlinka, et al.. (2021). Ictal gamma-band interactions localize ictogenic nodes of the epileptic network in focal cortical dysplasia. Clinical Neurophysiology. 132(8). 1927–1936. 10 indexed citations
16.
Kolenič, Marián, et al.. (2020). Higher Body-Mass Index and Lower Gray Matter Volumes in First Episode of Psychosis. Frontiers in Psychiatry. 11. 556759–556759. 9 indexed citations
17.
Marino, Marco, Quanying Liu, Camillo Porcaro, et al.. (2018). Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI. Scientific Reports. 8(1). 8902–8902. 39 indexed citations
18.
Tomeček, David, et al.. (2017). BRAD: Software for BRain Activity Detection from hemodynamic response. Computer Methods and Programs in Biomedicine. 156. 113–119. 4 indexed citations
19.
Hlinka, Jaroslav, David Hartman, Martin Vejmelka, & Milan Paluš. (2012). Non-linear contributions to interactions in climate networks: sources, relevance, nonstationarity. ASEP. 14274.
20.
Hlinka, Jaroslav, Milan Paluš, Martin Vejmelka, Dante Mantini, & Maurizio Corbetta. (2010). Functional connectivity in resting-state fMRI: Is linear correlation sufficient?. NeuroImage. 54(3). 2218–2225. 141 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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