Jakub Kopál

429 total citations
29 papers, 236 citations indexed

About

Jakub Kopál is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Jakub Kopál has authored 29 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Jakub Kopál's work include Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (9 papers) and EEG and Brain-Computer Interfaces (6 papers). Jakub Kopál is often cited by papers focused on Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (9 papers) and EEG and Brain-Computer Interfaces (6 papers). Jakub Kopál collaborates with scholars based in Canada, Czechia and United States. Jakub Kopál's co-authors include Aleš Procházka, Oldřich Vyšata, Danilo Bzdok, Jonathon A. Chambers, Hana Charvátová, Lucina Q. Uddin, Martin Vališ, Jaroslav Hlinka, Martin Schätz and Ján Burian and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Methods.

In The Last Decade

Jakub Kopál

25 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakub Kopál Canada 9 108 46 38 33 27 29 236
Keith Smith United Kingdom 10 128 1.2× 27 0.6× 46 1.2× 28 0.8× 21 0.8× 36 306
Aleksandar Miladinović Italy 10 157 1.5× 38 0.8× 45 1.2× 41 1.2× 11 0.4× 42 330
Careesa C. Liu Canada 13 210 1.9× 17 0.4× 49 1.3× 63 1.9× 43 1.6× 21 407
Zhuoming Chen China 11 50 0.5× 43 0.9× 15 0.4× 18 0.5× 14 0.5× 27 267
İrem Taşçı Türkiye 9 111 1.0× 23 0.5× 29 0.8× 29 0.9× 16 0.6× 37 305
Haoran Ren China 10 99 0.9× 128 2.8× 31 0.8× 60 1.8× 8 0.3× 24 287
Shira Hahn United States 8 65 0.6× 28 0.6× 21 0.6× 13 0.4× 38 1.4× 12 406
Seda Kibaroğlu Türkiye 10 96 0.9× 35 0.8× 84 2.2× 46 1.4× 11 0.4× 31 381
Kaili Che China 10 110 1.0× 21 0.5× 151 4.0× 16 0.5× 35 1.3× 24 280
Grace Huckins United States 1 233 2.2× 13 0.3× 83 2.2× 30 0.9× 102 3.8× 2 442

Countries citing papers authored by Jakub Kopál

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Kopál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Kopál

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Kopál. A scholar is included among the top collaborators of Jakub Kopál 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 Jakub Kopál. Jakub Kopál 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.
2.
Liao, Zhijie, Kuldeep Kumar, Jakub Kopál, et al.. (2025). Copy number variants and the tangential expansion of the cerebral cortex. Nature Communications. 16(1). 1697–1697. 1 indexed citations
3.
Kopál, Jakub, Guillaume Huguet, Zohra Saci, et al.. (2025). A pattern-learning algorithm associates copy number variations with brain structure and behavioural variables in an adolescent population cohort. Nature Biomedical Engineering. 10(2). 354–369.
4.
Kopál, Jakub, et al.. (2025). Latent brain subtypes of chronotype reveal unique behavioral and health profiles across population cohorts. Nature Communications. 16(1). 11550–11550.
5.
Kopál, Jakub, et al.. (2025). Quantifying associations between socio-spatial factors and cognitive development in the ABCD cohort. Nature Computational Science. 5(3). 221–233. 2 indexed citations
6.
Kopál, Jakub, et al.. (2025). Deep learning reveals that multidimensional social status drives population variation in 11,875 US participant cohort. PLoS ONE. 20(8). e0327729–e0327729. 1 indexed citations
7.
Hartwigsen, Gesa, Jae‐Sung Lim, Hee‐Joon Bae, et al.. (2024). Bayesian modelling disentangles language versus executive control disruption in stroke. Brain Communications. 6(3). fcae129–fcae129. 1 indexed citations
8.
Kumar, Kuldeep, Zhijie Liao, Jakub Kopál, et al.. (2024). 295. Rare Variant Genetic Architecture of the Human Cortical MRI Phenotypes in General Population. Biological Psychiatry. 95(10). S220–S221.
9.
Williams, Kathleen A., et al.. (2024). Inhibition of the inferior parietal lobe triggers state-dependent network adaptations. Heliyon. 10(21). e39735–e39735. 5 indexed citations
10.
Bzdok, Danilo, Guy Wolf, & Jakub Kopál. (2024). Harnessing population diversity: in search of tools of the trade. GigaScience. 13. 3 indexed citations
11.
Kopál, Jakub, Avram J. Holmes, Georgios D. Mitsis, et al.. (2023). The default network dominates neural responses to evolving movie stories. Nature Communications. 14(1). 4197–4197. 11 indexed citations
12.
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
13.
Kopál, Jakub, Lucina Q. Uddin, & Danilo Bzdok. (2023). The end game: respecting major sources of population diversity. Nature Methods. 20(8). 1122–1128. 34 indexed citations
14.
Liao, Zhijie, Kuldeep Kumar, Jakub Kopál, Sébastien Jacquemont, & Tomáš Paus. (2023). W66. COPY NUMBER VARIANTS AND THE TANGENTIAL GROWTH OF THE CEREBRAL CORTEX. European Neuropsychopharmacology. 75. S138–S139. 1 indexed citations
15.
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
16.
Kopál, Jakub & Danilo Bzdok. (2022). Endorsing Complexity Through Diversity: Computational Psychiatry Meets Big Data Analytics. Biological Psychiatry. 93(8). 655–657. 8 indexed citations
17.
Kopál, Jakub, et al.. (2021). Open Access: The Effect of Neurorehabilitation on Multiple Sclerosis—Unlocking the Resting-State fMRI Data. Frontiers in Neuroscience. 15. 662784–662784. 7 indexed citations
18.
Kopál, Jakub, et al.. (2020). Typicality of functional connectivity robustly captures motion artifacts in rs‐fMRI across datasets, atlases, and preprocessing pipelines. Human Brain Mapping. 41(18). 5325–5340. 11 indexed citations
19.
Pazdera, Ladislav, et al.. (2018). Permutation Entropy and Signal Energy Increase the Accuracy of Neuropathic Change Detection in Needle EMG. Computational Intelligence and Neuroscience. 2018. 1–5. 11 indexed citations
20.
Kopál, Jakub, Oldřich Vyšata, Ján Burian, et al.. (2014). Complex continuous wavelet coherence for EEG microstates detection in insight and calm meditation. Consciousness and Cognition. 30. 13–23. 17 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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