Radovan Smíšek

1.3k total citations
54 papers, 819 citations indexed

About

Radovan Smíšek is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Radovan Smíšek has authored 54 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cardiology and Cardiovascular Medicine, 12 papers in Biomedical Engineering and 10 papers in Cognitive Neuroscience. Recurrent topics in Radovan Smíšek's work include Cardiac electrophysiology and arrhythmias (29 papers), ECG Monitoring and Analysis (26 papers) and Cardiac pacing and defibrillation studies (23 papers). Radovan Smíšek is often cited by papers focused on Cardiac electrophysiology and arrhythmias (29 papers), ECG Monitoring and Analysis (26 papers) and Cardiac pacing and defibrillation studies (23 papers). Radovan Smíšek collaborates with scholars based in Czechia, Netherlands and Poland. Radovan Smíšek's co-authors include Andrea Němcová, Lucie Maršánová, Martin Vítek, Lukáš Smital, Pavel Jurák, Filip Plešinger, Ivo Viščor, Karol Čurila, Pavel Leinveber and Marina Ronzhina and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Radovan Smíšek

46 papers receiving 806 citations

Peers

Radovan Smíšek

CCM

SURGE

NEURO

Ewaryst Tkacz Poland

Shreyasi Datta India

Gavin Baker United States

Jerzy Wtorek Poland

Madhuri Panwar India

Tim Bonnici Bulgaria

Viswam Nathan United States

Andrea Němcová Czechia

Munna Khan India

Milica M. Janković Serbia

Ewaryst Tkacz Poland

Radovan Smíšek

203 ×0.3

CCM

213 ×1.0

70 ×0.4

54 ×0.7

SURGE

19 ×0.3

NEURO

Citations per year, relative to Radovan Smíšek Radovan Smíšek (= 1×) peers Ewaryst Tkacz

Countries citing papers authored by Radovan Smíšek

Since Specialization

Citations

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

Fields of papers citing papers by Radovan Smíšek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radovan Smíšek

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

Plešinger, Filip, Radovan Smíšek, Petr Nejedlý, et al.. (2025). Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion. Scientific Reports. 15(1). 1257–1257. 1 indexed citations

Čurila, Karol, Petr Štros, Pavel Jurák, et al.. (2024). LVSP and LBBP Result in Similar or Improved LV Synchrony and Hemodynamics Compared to BVP. JACC. Clinical electrophysiology. 10(7). 1722–1732. 4 indexed citations

Smíšek, Radovan, Karol Čurila, Uyên Châu Nguyên, et al.. (2023). Spatial Dispersion of Activation and Repolarization Times Associated with Different Cardiac Pacing Modes. Computing in cardiology.

Smíšek, Radovan, et al.. (2023). Predicting Readmission of Heart Failure Patients. Computing in cardiology.

Smíšek, Radovan, et al.. (2022). "Scalable, Multiplatform, and Autonomous ECG Processor Supported by AI for Telemedicine Center". Computing in cardiology. 1 indexed citations

Jurák, Pavel, et al.. (2022). Ventricular Dyssynchrony and Pacing-induced Cardiomyopathy in Patients with Pacemakers, the Utility of Ultra-high-frequency ECG and Other Dyssynchrony Assessment Tools. Arrhythmia & Electrophysiology Review. 11. e17–e17. 12 indexed citations

Němcová, Andrea, et al.. (2022). A new database with annotations of P waves in ECGs with various types of arrhythmias. Physiological Measurement. 43(10). 10NT01–10NT01.

Viščor, Ivo, Petr Nejedlý, Radovan Smíšek, et al.. (2022). QRS detection and classification in Holter ECG data in one inference step. Scientific Reports. 12(1). 12641–12641. 15 indexed citations

Čurila, Karol, Pavel Jurák, Josef Halámek, et al.. (2021). Ventricular activation pattern assessment during right ventricular pacing: Ultra‐high‐frequency ECG study. Journal of Cardiovascular Electrophysiology. 32(5). 1385–1394. 21 indexed citations

10.

Čurila, Karol, Pavel Jurák, Marek Jastrzębski, et al.. (2021). Left bundle branch pacing compared to left ventricular septal myocardial pacing increases interventricular dyssynchrony but accelerates left ventricular lateral wall depolarization. Heart Rhythm. 18(8). 1281–1289. 76 indexed citations

11.

Němcová, Andrea, Radovan Smíšek, Martin Vítek, & Marie Novàkovâ. (2021). Pathologies affect the performance of ECG signals compression. Scientific Reports. 11(1). 10514–10514.

12.

Ronzhina, Marina, Ľubica Lacinová, Lucie Maršánová, et al.. (2021). Di-4-ANEPPS Modulates Electrical Activity and Progress of Myocardial Ischemia in Rabbit Isolated Heart. Frontiers in Physiology. 12. 667065–667065. 7 indexed citations

13.

Smital, Lukáš, Clifton R. Haider, Martin Vítek, et al.. (2020). Real-Time Quality Assessment of Long-Term ECG Signals Recorded by Wearables in Free-Living Conditions. IEEE Transactions on Biomedical Engineering. 67(10). 2721–2734. 66 indexed citations

14.

Jurák, Pavel, Karol Čurila, Pavel Leinveber, et al.. (2019). Novel ultra‐high‐frequency electrocardiogram tool for the description of the ventricular depolarization pattern before and during cardiac resynchronization. Journal of Cardiovascular Electrophysiology. 31(1). 300–307. 29 indexed citations

15.

Vičar, Tomáš, et al.. (2019). Sepsis Detection in Sparse Clinical Data Using Long Short-Term Memory Network with Dice Loss. Computing in Cardiology Conference. 1–4. 3 indexed citations

16.

Halámek, Josef, Pavel Leinveber, Ivo Viščor, et al.. (2019). The relationship between ECG predictors of cardiac resynchronization therapy benefit. PLoS ONE. 14(5). e0217097–e0217097. 10 indexed citations

17.

Vičar, Tomáš, et al.. (2019). Sepsis Detection in Sparse Clinical Data Using Long Short-Term Memory Network with Dice Loss. Computing in cardiology. 45. 6 indexed citations

18.

Maršánová, Lucie, Andrea Němcová, Radovan Smíšek, Martin Vítek, & Lukáš Smital. (2019). Advanced P Wave Detection in Ecg Signals During Pathology: Evaluation in Different Arrhythmia Contexts. Scientific Reports. 9(1). 19053–19053. 23 indexed citations

19.

Smíšek, Radovan, Ivo Viščor, Pavel Jurák, Josef Halámek, & Filip Plešinger. (2018). Fully automatic detection of strict left bundle branch block. Journal of Electrocardiology. 51(6). S31–S34. 5 indexed citations

20.

Smíšek, Radovan, Marina Ronzhina, Andrea Němcová, et al.. (2018). Multi-stage SVM approach for cardiac arrhythmias detection in short single-lead ECG recorded by a wearable device. Physiological Measurement. 39(9). 94003–94003. 29 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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