A. Matonia
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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- ECG Monitoring and Analysis 39
- Heart Rate Variability and Autonomic Control 6
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- Neonatal and fetal brain pathology 19
- Co-authors
- Janusz Jeżewski (51 shared papers)K. Horoba (45 shared papers)T. Kupka (39 shared papers)Janusz Wróbel (37 shared papers)Robert Czabański (18 shared papers)Michał Jeżewski (19 shared papers)Dawid Roj (14 shared papers)Radek Martínek (9 shared papers)
In The Last Decade
A. Matonia
58 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 658
- Signal Processing 266
- Pediatrics, Perinatology and Child Health 338
- Cognitive Neuroscience 241
- Pulmonary and Respiratory Medicine 262
Countries citing papers authored by A. Matonia
This map shows the geographic impact of A. Matonia'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 A. Matonia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Matonia more than expected).
Fields of papers citing papers by A. Matonia
This network shows the impact of papers produced by A. Matonia. 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 A. Matonia. The network helps show where A. Matonia may publish in the future.
Co-authors
The 23 scholars most cited alongside A. Matonia, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 166 | |
| 2 | 2019 | 102 | |
| 3 | 2005 | 91 | |
| 4 | 2012 | 60 | |
| 5 | 2020 | 58 | |
| 6 | 2009 | 48 | |
| 7 | 2006 | 46 | |
| 8 | 2017 | 42 | |
| 9 | 2010 | 41 | |
| 10 | 2016 | 33 | |
| 11 | 2006 | 32 | |
| 12 | 2016 | 31 | |
| 13 | 2005 | 29 | |
| 14 | 2021 | 27 | |
| 15 | Recognition of premature threatening labour symptoms from bioelectrical uterine activity signals | 2011 | 25 |
| 16 | 2015 | 21 | |
| 17 | 2004 | 16 | |
| 18 | 2015 | 16 | |
| 19 | 2020 | 12 | |
| 20 | 2003 | 10 |
About A. Matonia
A. Matonia is a scholar working on Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Biomedical Engineering and Signal Processing, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (39 papers), Non-Invasive Vital Sign Monitoring (28 papers), Phonocardiography and Auscultation Techniques (24 papers), Neonatal and fetal brain pathology (19 papers), Blind Source Separation Techniques (8 papers), EEG and Brain-Computer Interfaces (7 papers), Preterm Birth and Chorioamnionitis (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (658 citations), Signal Processing (266 citations), Pediatrics, Perinatology and Child Health (338 citations), Cognitive Neuroscience (241 citations) and Pulmonary and Respiratory Medicine (262 citations). A. Matonia has collaborated with scholars based in Poland, Czechia and Mexico. Frequent co-authors include Janusz Jeżewski, K. Horoba, T. Kupka, Janusz Wróbel, Robert Czabański, Michał Jeżewski, Dawid Roj, Radek Martínek, Radana Vilimkova Kahankova and Marian Kotas. Their work appears in journals such as Journal of Applied Biomedicine, Expert Systems with Applications, Computer Methods and Programs in Biomedicine, IEEE Access 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.