Martin Vítek

907 total citations
32 papers, 576 citations indexed

About

Martin Vítek is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Martin Vítek has authored 32 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 12 papers in Molecular Biology and 12 papers in Biomedical Engineering. Recurrent topics in Martin Vítek's work include ECG Monitoring and Analysis (16 papers), Genomics and Phylogenetic Studies (10 papers) and Cardiac electrophysiology and arrhythmias (10 papers). Martin Vítek is often cited by papers focused on ECG Monitoring and Analysis (16 papers), Genomics and Phylogenetic Studies (10 papers) and Cardiac electrophysiology and arrhythmias (10 papers). Martin Vítek collaborates with scholars based in Czechia. Martin Vítek's co-authors include Lukáš Smital, Andrea Němcová, Radovan Smíšek, Ivo Provazník, Lucie Maršánová, Helena Škutková, Marina Ronzhina, Marie Novàkovâ, Karel Sedlář and René Kizek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Martin Vítek

27 papers receiving 557 citations

Peers

Martin Vítek
Martin Vítek
Citations per year, relative to Martin Vítek Martin Vítek (= 1×) peers Efnan Şora Günal

Countries citing papers authored by Martin Vítek

Since Specialization
Citations

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

Fields of papers citing papers by Martin Vítek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Vítek

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Vítek. A scholar is included among the top collaborators of Martin Vítek 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 Martin Vítek. Martin Vítek 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.
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.
2.
Němcová, Andrea, et al.. (2022). Reliable P wave detection in pathological ECG signals. Scientific Reports. 12(1). 6589–6589. 18 indexed citations
3.
Němcová, Andrea, Radovan Smíšek, Martin Vítek, & Marie Novàkovâ. (2021). Pathologies affect the performance of ECG signals compression. Scientific Reports. 11(1). 10514–10514.
4.
Sedlář, Karel, et al.. (2021). CNproScan: Hybrid CNV detection for bacterial genomes. Genomics. 113(5). 3103–3111. 1 indexed citations
5.
Němcová, Andrea, et al.. (2021). Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation. BioMed Research International. 2021(1). 3453007–3453007. 12 indexed citations
6.
Smital, Lukáš, Andrea Němcová, Marina Ronzhina, et al.. (2021). Respiratory Rate Estimation Using the Photoplethysmogram: Towards the Implementation in Wearables. 1–4. 1 indexed citations
7.
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
8.
Němcová, Andrea, Martin Vítek, & Marie Novàkovâ. (2020). Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT. Scientific Reports. 10(1). 15801–15801. 6 indexed citations
9.
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
10.
Sedlář, Karel, et al.. (2019). Rapid Bacterial Species Delineation Based on Parameters Derived From Genome Numerical Representations. Computational and Structural Biotechnology Journal. 17. 118–126. 16 indexed citations
11.
Škutková, Helena, et al.. (2019). A degeneration-reducing criterion for optimal digital mapping of genetic codes. Computational and Structural Biotechnology Journal. 17. 406–414. 3 indexed citations
12.
Škutková, Helena, et al.. (2019). Advanced DNA fingerprint genotyping based on a model developed from real chip electrophoresis data. Journal of Advanced Research. 18. 9–18. 4 indexed citations
13.
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
14.
Maršánová, Lucie, Marina Ronzhina, Radovan Smíšek, et al.. (2017). ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study. Scientific Reports. 7(1). 11239–11239. 50 indexed citations
15.
Sedlář, Karel, et al.. (2017). The identification of replication origin in bacterial genomes by cumulated phase signal. 1–5. 2 indexed citations
16.
Smíšek, Radovan, et al.. (2016). CSE database: extended annotations and new recommendations for ECG software testing. Medical & Biological Engineering & Computing. 55(8). 1473–1482. 16 indexed citations
17.
Škutková, Helena, Martin Vítek, Karel Sedlář, & Ivo Provazník. (2015). Progressive alignment of genomic signals by multiple dynamic time warping. Journal of Theoretical Biology. 385. 20–30. 16 indexed citations
18.
Sedlář, Karel, Helena Škutková, Martin Vítek, & Ivo Provazník. (2015). Set of rules for genomic signal downsampling. Computers in Biology and Medicine. 69. 308–314. 9 indexed citations
19.
Vítek, Martin, et al.. (2015). A Wavelet-Based ECG Delineation Method: Adaptation to an Experimental Electrograms with Manifested Global Ischemia. Cardiovascular Engineering and Technology. 6(3). 364–375. 15 indexed citations
20.
Smital, Lukáš, et al.. (2012). Adaptive Wavelet Wiener Filtering of ECG Signals. IEEE Transactions on Biomedical Engineering. 60(2). 437–445. 110 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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