Robert Czabański
Impact in
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- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
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- Neonatal and fetal brain pathology 21
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- ECG Monitoring and Analysis 19
- Co-authors
- Janusz Jeżewski (32 shared papers)Michał Jeżewski (36 shared papers)K. Horoba (31 shared papers)A. Matonia (16 shared papers)Janusz Wróbel (27 shared papers)T. Kupka (12 shared papers)Dawid Roj (4 shared papers)Jacek M. Łęski (16 shared papers)
In The Last Decade
Robert Czabański
51 papers receiving 786 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 446
- Signal Processing 172
- Pediatrics, Perinatology and Child Health 301
- Cognitive Neuroscience 186
- Pulmonary and Respiratory Medicine 247
Countries citing papers authored by Robert Czabański
This map shows the geographic impact of Robert Czabański'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 Robert Czabański with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Czabański more than expected).
Fields of papers citing papers by Robert Czabański
This network shows the impact of papers produced by Robert Czabański. 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 Robert Czabański. The network helps show where Robert Czabański may publish in the future.
Co-authors
The 13 scholars most cited alongside Robert Czabański, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 151 | |
| 2 | 2020 | 63 | |
| 3 | 2020 | 57 | |
| 4 | 2012 | 52 | |
| 5 | 2016 | 35 | |
| 6 | 2010 | 33 | |
| 7 | 2013 | 31 | |
| 8 | Analysis of extracted cardiotocographic signal features to improve automated prediction of fetal outcome | 2010 | 28 |
| 9 | 2013 | 26 | |
| 10 | 2016 | 26 | |
| 11 | 2015 | 25 | |
| 12 | 2021 | 24 | |
| 13 | Recognition of premature threatening labour symptoms from bioelectrical uterine activity signals | 2011 | 24 |
| 14 | 2019 | 20 | |
| 15 | 2015 | 19 | |
| 16 | 2016 | 15 | |
| 17 | 2018 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2016 | 14 | |
| 20 | 2008 | 13 |
About Robert Czabański
Robert Czabański is a scholar working on Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Biomedical Engineering and Artificial Intelligence, having authored 53 papers that have together received 823 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (21 papers), ECG Monitoring and Analysis (19 papers), Phonocardiography and Auscultation Techniques (18 papers), Non-Invasive Vital Sign Monitoring (15 papers), Fuzzy Logic and Control Systems (9 papers), EEG and Brain-Computer Interfaces (9 papers), Gaze Tracking and Assistive Technology (5 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (446 citations), Signal Processing (172 citations), Pediatrics, Perinatology and Child Health (301 citations), Cognitive Neuroscience (186 citations) and Pulmonary and Respiratory Medicine (247 citations). Robert Czabański has collaborated with scholars based in Poland and Czechia. Frequent co-authors include Janusz Jeżewski, Michał Jeżewski, K. Horoba, A. Matonia, Janusz Wróbel, T. Kupka, Dawid Roj, Jacek M. Łęski, Radek Martínek and Radana Kahánková. Their work appears in journals such as Journal of Applied Biomedicine, Expert Systems with Applications, IEEE Access, Applied Artificial Intelligence and Sensors.
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.