Václav Chudáček

1.3k total citations
35 papers, 875 citations indexed

About

Václav Chudáček is a scholar working on Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Biomedical Engineering. According to data from OpenAlex, Václav Chudáček has authored 35 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 21 papers in Pediatrics, Perinatology and Child Health and 11 papers in Biomedical Engineering. Recurrent topics in Václav Chudáček's work include Neonatal and fetal brain pathology (21 papers), ECG Monitoring and Analysis (16 papers) and Heart Rate Variability and Autonomic Control (13 papers). Václav Chudáček is often cited by papers focused on Neonatal and fetal brain pathology (21 papers), ECG Monitoring and Analysis (16 papers) and Heart Rate Variability and Autonomic Control (13 papers). Václav Chudáček collaborates with scholars based in Czechia, Greece and France. Václav Chudáček's co-authors include Jiří Spilka, Lenka Lhotská, Michal Huptych, Petr Janků, Miroslav Burša, Lukáš Hruban, Michal Koucký, Chrysostomos Stylios, George Georgoulas and Patrice Abry and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and BMC Pregnancy and Childbirth.

In The Last Decade

Václav Chudáček

34 papers receiving 860 citations

Peers

Václav Chudáček

PPCH

PRM

CCM

Jiří Spilka Czechia

Michał Jeżewski Poland

Philip Warrick Canada

Antoniya Georgieva United Kingdom

Michal Huptych Czechia

Janusz Wróbel Poland

K. Horoba Poland

A. Matonia Poland

Miroslav Burša Czechia

Agnese Sbrollini Italy

Jiří Spilka Czechia

Václav Chudáček

629 ×1.1

PPCH

380 ×1.1

PRM

324 ×0.9

CCM

346 ×1.0

114 ×1.0

Citations per year, relative to Václav Chudáček Václav Chudáček (= 1×) peers Jiří Spilka

Countries citing papers authored by Václav Chudáček

Since Specialization

Citations

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

Fields of papers citing papers by Václav Chudáček

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Václav Chudáček

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

Georgoulas, George, Petros Karvelis, Jiří Spilka, et al.. (2017). Investigating pH based evaluation of fetal heart rate (FHR) recordings. Health and Technology. 7(2-3). 241–254. 49 indexed citations

Doret, Muriel, Jiří Spilka, Václav Chudáček, Paulo Gonçalvès, & Patrice Abry. (2015). Fractal Analysis and Hurst Parameter for Intrapartum Fetal Heart Rate Variability Analysis: A Versatile Alternative to Frequency Bands and LF/HF Ratio. PLoS ONE. 10(8). e0136661–e0136661. 40 indexed citations

Karvelis, Petros, Jiří Spilka, George Georgoulas, et al.. (2015). Combining latent class analysis labeling with multiclass approach for fetal heart rate categorization. Physiological Measurement. 36(5). 1001–1024. 7 indexed citations

Chudáček, Václav, et al.. (2014). Evaluation of fetal heart rate recordings based on clustering. Computing in Cardiology Conference. 621–624. 2 indexed citations

Spilka, Jiří, Václav Chudáček, Petr Janků, et al.. (2014). Analysis of obstetricians’ decision making on CTG recordings. Journal of Biomedical Informatics. 51. 72–79. 46 indexed citations

Burša, Miroslav, Lenka Lhotská, Václav Chudáček, et al.. (2014). Information retrieval from hospital information system: Increasing effectivity using swarm intelligence. Journal of Applied Logic. 13(2). 126–137. 4 indexed citations

Chudáček, Václav, Joakim Andén, Stéphane Mallat, Patrice Abry, & Muriel Doret. (2014). Scattering Transform for Intrapartum Fetal Heart Rate Variability Fractal Analysis: A Case-Control Study. IEEE Transactions on Biomedical Engineering. 61(4). 1100–1108. 53 indexed citations

Spilka, Jiří, Václav Chudáček, Miroslav Burša, et al.. (2012). Stability of variability features computed from fetal heart rate with artifcially infused missing data. Computing in Cardiology. 917–920. 9 indexed citations

Kužílek, Jakub, Michal Huptych, Václav Chudáček, Jiří Spilka, & Lenka Lhotská. (2011). Data driven approach to ECG signal quality assessment using multistep SVM classification. Computing in Cardiology. 453–455. 22 indexed citations

10.

Chudáček, Václav, Jakub Kužílek, Jiří Spilka, et al.. (2011). Mobile CTG — Fetal heart rate assessment using Android platform. Computing in Cardiology. 249–252. 2 indexed citations

11.

Chudáček, Václav, et al.. (2011). Simple scoring system for ECG quality assessment on Android platform. Computing in Cardiology. 449–451. 21 indexed citations

12.

Chudáček, Václav, Jiří Spilka, Petr Janků, et al.. (2011). Automatic evaluation of intrapartum fetal heart rate recordings: a comprehensive analysis of useful features. Physiological Measurement. 32(8). 1347–1360. 36 indexed citations

13.

Chudáček, Václav, Jiří Spilka, Lenka Lhotská, et al.. (2011). Assessment of features for automatic CTG analysis based on expert annotation. PubMed. 2011. 6051–6054. 15 indexed citations

14.

Spilka, Jiří, Václav Chudáček, Michal Koucký, et al.. (2011). Using nonlinear features for fetal heart rate classification. Biomedical Signal Processing and Control. 7(4). 350–357. 108 indexed citations

15.

Varga, Ferdinand, Václav Chudáček, Milan Držík, et al.. (2011). Correlation of dynamic impact testing, histopathology and visual macroscopic assessment in human osteoarthritic cartilage. International Orthopaedics. 35(11). 1733–1739. 4 indexed citations

16.

Chudáček, Václav, Jiří Spilka, Michal Huptych, et al.. (2010). Linear and non-linear features for intrapartum cardiotocography evaluation. Computing in Cardiology. 999–1002. 6 indexed citations

17.

Novák, Daniel, et al.. (2009). Discrimination of endocardial electrogram disorganization using a signal regularity analysis. PubMed. 2009. 1812–1815. 10 indexed citations

18.

Chudáček, Václav, et al.. (2009). Examining cross-database global training to evaluate five different methods for ventricular beat classification. Physiological Measurement. 30(7). 661–677. 15 indexed citations

19.

Chudáček, Václav, et al.. (2007). Comparison of seven approaches for holter ECG clustering and classification. Conference proceedings. 134. 3844–3847. 12 indexed citations

20.

Chudáček, Václav, Michal Huptych, Daniel Novák, & Lenka Lhotská. (2006). Automatic QT interval measurement using rule-based gradient method. Computing in Cardiology Conference. 349–351. 2 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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