T. Kupka

956 total citations
53 papers, 697 citations indexed

About

T. Kupka is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, T. Kupka has authored 53 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cardiology and Cardiovascular Medicine, 25 papers in Biomedical Engineering and 23 papers in Pulmonary and Respiratory Medicine. Recurrent topics in T. Kupka's work include ECG Monitoring and Analysis (33 papers), Non-Invasive Vital Sign Monitoring (23 papers) and Phonocardiography and Auscultation Techniques (21 papers). T. Kupka is often cited by papers focused on ECG Monitoring and Analysis (33 papers), Non-Invasive Vital Sign Monitoring (23 papers) and Phonocardiography and Auscultation Techniques (21 papers). T. Kupka collaborates with scholars based in Poland, Czechia and Mexico. T. Kupka's co-authors include Janusz Jeżewski, A. Matonia, K. Horoba, Janusz Wróbel, Robert Czabański, Dawid Roj, Michał Jeżewski, Radek Martínek, Marian Kotas and Adam Gacek and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

T. Kupka

48 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Kupka Poland 13 517 242 232 213 198 53 697
Michał Jeżewski Poland 17 455 0.9× 273 1.1× 326 1.4× 266 1.2× 164 0.8× 54 801
Robert Czabański Poland 16 446 0.9× 274 1.1× 301 1.3× 247 1.2× 172 0.9× 53 823
A. Matonia Poland 18 688 1.3× 378 1.6× 357 1.5× 320 1.5× 289 1.5× 64 1.0k
Agnese Sbrollini Italy 16 446 0.9× 280 1.2× 115 0.5× 186 0.9× 43 0.2× 98 768
Václav Chudáček Czechia 14 350 0.7× 336 1.4× 584 2.5× 359 1.7× 101 0.5× 35 875
F. Jager Slovenia 15 504 1.0× 348 1.4× 259 1.1× 171 0.8× 66 0.3× 47 927
Dawid Roj Poland 5 220 0.4× 117 0.5× 118 0.5× 92 0.4× 101 0.5× 22 315
K. Horoba Poland 24 709 1.4× 491 2.0× 495 2.1× 421 2.0× 224 1.1× 89 1.3k
Jiří Spilka Czechia 14 324 0.6× 346 1.4× 629 2.7× 380 1.8× 90 0.5× 31 872
R. González-Camarena Mexico 16 217 0.4× 109 0.5× 65 0.3× 315 1.5× 146 0.7× 55 617

Countries citing papers authored by T. Kupka

Since Specialization
Citations

This map shows the geographic impact of T. Kupka'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 T. Kupka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kupka more than expected).

Fields of papers citing papers by T. Kupka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Kupka

This figure shows the co-authorship network connecting the top 25 collaborators of T. Kupka. A scholar is included among the top collaborators of T. Kupka 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 T. Kupka. T. Kupka 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.
Martínek, Radek, René Jaroš, Radana Kahánková, et al.. (2020). Passive Fetal Monitoring by Advanced Signal Processing Methods in Fetal Phonocardiography. IEEE Access. 8. 221942–221962. 10 indexed citations
2.
Kupka, T., A. Matonia, Michał Jeżewski, et al.. (2020). New Method for Beat-to-Beat Fetal Heart Rate Measurement Using Doppler Ultrasound Signal. Sensors. 20(15). 4079–4079. 8 indexed citations
3.
Czabański, Robert, K. Horoba, Janusz Wróbel, et al.. (2020). Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine. Sensors. 20(3). 765–765. 57 indexed citations
4.
Jeżewski, Janusz, K. Horoba, Dawid Roj, et al.. (2015). A novel approach to comparison of the fetal heart rate baseline estimation algorithms. Journal of Medical Informatics & Technologies. 24. 1 indexed citations
5.
Wróbel, Janusz, T. Kupka, K. Horoba, et al.. (2014). Automated detection of fetal movements in Doppler ultrasound signals versus maternal perception. Journal of Medical Informatics & Technologies. 23. 3 indexed citations
6.
Wróbel, Janusz, Dawid Roj, Janusz Jeżewski, et al.. (2014). The influence of signal loss episodes on fetal heart rate variability measures. Journal of Medical Informatics & Technologies. 23. 4 indexed citations
7.
Matonia, A., et al.. (2012). COMPARISON OF INSTANTANEOUS FETAL HEART RATE EXTRACTED FROM ABDOMINAL AND DIRECT FETAL ELECTROCARDIOGRAMS. Journal of Medical Informatics & Technologies. 19. 1 indexed citations
8.
Czabański, Robert, et al.. (2010). Evaluation of predictive capabilities of quantitative cardiotocographic signal features. Journal of Medical Informatics & Technologies. 16. 11–17. 4 indexed citations
9.
Roj, Dawid, et al.. (2010). Improving the periodicity measurement in fetal heart activity signal. Journal of Medical Informatics & Technologies. 16. 3 indexed citations
10.
Czabański, Robert, Michał Jeżewski, Janusz Wróbel, et al.. (2008). THE PREDICTION OF THE LOW FETAL BIRTH WEIGHT BASED ON QUANTITATIVE DESCRIPTION OF CARDIOTOCOGRAPHIC SIGNALS. Journal of Medical Informatics & Technologies. 12. 6 indexed citations
11.
Kotas, Marian, Janusz Jeżewski, A. Matonia, & T. Kupka. (2008). SEPARATION OF ABDOMINAL FETAL ELECTROCARDIOGRAMS IN TWIN PREGNANCY. Journal of Medical Informatics & Technologies. 12. 83–89. 1 indexed citations
12.
Wróbel, Janusz, Janusz Jeżewski, A. Matonia, et al.. (2008). TELEMEDICAL SYSTEM FOR HOME FETAL MONITORING WITH ONLINE ANALYSIS OF BIOELECTRICALABDOMINAL SIGNALS. Journal of Medical Informatics & Technologies. 12.
13.
Matonia, A., et al.. (2005). NEONATAL SURVEILLANCE SYSTEM BASED ON DATA STREAM TECHNOLOGY. Journal of Medical Informatics & Technologies. 9. 93–98. 1 indexed citations
14.
Matonia, A., et al.. (2004). SIMULTANEOUS RECORDING AND ANALYSIS OF DIRECT AND INDIRECT FETAL ELECTROCARDIOGRAPHY. Journal of Medical Informatics & Technologies. 8.
15.
Jeżewski, Janusz, et al.. (2003). Reliability and quality of ultrasound measurements of fetal heart rate variability. Journal of Medical Informatics & Technologies. 6. 2 indexed citations
16.
Jeżewski, Janusz, et al.. (2003). Data stream processing in fetal monitoring system: II. Application to signal processing. Journal of Medical Informatics & Technologies. 6. 1 indexed citations
17.
Matonia, A., et al.. (2003). Combined analysis of fetal electrocardiogram and systolic time intervals. Journal of Medical Informatics & Technologies. 6. 1 indexed citations
18.
Matonia, A., Janusz Jeżewski, Adam Gacek, et al.. (2002). COMPUTERIZED FETAL MONITORING BASED ON BIOELECTRIC SIGNALS FROM MATERNAL ABDOMEN. Journal of Medical Informatics & Technologies. 4. 1 indexed citations
19.
Matonia, A., Janusz Jeżewski, K. Horoba, Janusz Wróbel, & T. Kupka. (2001). New techniques for analysis of fetal electrocardiogram. Journal of Medical Informatics & Technologies. 1 indexed citations
20.
Kupka, T., et al.. (2000). Generation of artificial signal of fetal heart rate using the autoregressive model. Journal of Medical Informatics & Technologies. 1. 1 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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