Pavel Jurák
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 61
- Neural dynamics and brain function 27
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- ECG Monitoring and Analysis 53
- Cardiac electrophysiology and arrhythmias 45
- Cardiac pacing and defibrillation studies 41
- Heart Rate Variability and Autonomic Control 24
- Cardiac Arrhythmias and Treatments 23
- Psychiatry and Mental health top 5%
- Neurology top 5%
- Neurological disorders and treatments 20
- Co-authors
- Josef HalámekIvan RektorFilip PlešingerMilan BrázdilPavel DanielIvo ViščorPetr NejedlýPetr Klimeš
- Partner nations
- CzechiaUnited StatesNetherlands
In The Last Decade
Pavel Jurák
159 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 1.1k
- Cardiology and Cardiovascular Medicine 1.1k
- Psychiatry and Mental health 334
- Neurology 270
- Cellular and Molecular Neuroscience 314
Countries citing papers authored by Pavel Jurák
This map shows the geographic impact of Pavel Jurák'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 Pavel Jurák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Jurák more than expected).
Fields of papers citing papers by Pavel Jurák
This network shows the impact of papers produced by Pavel Jurák. 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 Pavel Jurák. The network helps show where Pavel Jurák may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pavel Jurák, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 66 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 29 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 10 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 5 | |
| 16 | Automatic detection of atrial fibrillation and other arrhythmias in holter ECG recordings using rhythm features and neural networks | 2017 | 15 |
| 17 | Stroke volume during mueller maneuver measured by impedance cardiography in patients with mitral regurgitation | 2009 | 4 |
| 18 | Dynamic properties of QT intervals | 2009 | 3 |
| 19 | 2008 | 13 | |
| 20 | ERP in response to subliminal target stimuli. Abstracts. | 1998 | 1 |
About Pavel Jurák
Pavel Jurák is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Issues, ethics and legal aspects, having authored 172 papers that have together received 2.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (61 papers), ECG Monitoring and Analysis (53 papers), Cardiac electrophysiology and arrhythmias (45 papers), Cardiac pacing and defibrillation studies (41 papers), Neural dynamics and brain function (27 papers), Heart Rate Variability and Autonomic Control (24 papers), Cardiac Arrhythmias and Treatments (23 papers) and Neurological disorders and treatments (20 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Psychiatry and Mental health (334 citations). Pavel Jurák has collaborated with scholars based in Czechia, United States and Netherlands. Frequent co-authors include Josef Halámek, Ivan Rektor, Filip Plešinger, Milan Brázdil, Pavel Daniel, Ivo Viščor, Petr Nejedlý, Petr Klimeš, Pavel Leinveber and Róbert Román. Their work appears in journals such as Circulation, PLoS ONE and NeuroImage.
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.