A. Matonia
Impact in
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- ECG Monitoring and Analysis
- Signal Processing top 2%
- Blind Source Separation Techniques
Papers in
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- ECG Monitoring and Analysis 36
- Heart Rate Variability and Autonomic Control 5
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- Non-Invasive Vital Sign Monitoring 25
- Co-authors
- Janusz Jeżewski (51 shared papers)K. Horoba (46 shared papers)T. Kupka (39 shared papers)Janusz Wróbel (37 shared papers)Robert Czabański (16 shared papers)Michał Jeżewski (19 shared papers)Dawid Roj (11 shared papers)Radek Martínek (9 shared papers)
In The Last Decade
A. Matonia
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 73
- Cardiology and Cardiovascular Medicine 688
- Signal Processing 289
- Pediatrics, Perinatology and Child Health 357
- Cognitive Neuroscience 268
- Pulmonary and Respiratory Medicine 320
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 151 | |
| 2 | 2019 | 93 | |
| 3 | 2005 | 82 | |
| 4 | 2020 | 63 | |
| 5 | 2020 | 57 | |
| 6 | 2012 | 52 | |
| 7 | 2009 | 45 | |
| 8 | 2006 | 44 | |
| 9 | 2017 | 41 | |
| 10 | 2010 | 38 | |
| 11 | 2016 | 35 | |
| 12 | 2006 | 33 | |
| 13 | 2016 | 30 | |
| 14 | 2005 | 25 | |
| 15 | 2021 | 24 | |
| 16 | Recognition of premature threatening labour symptoms from bioelectrical uterine activity signals | 2011 | 24 |
| 17 | 2006 | 23 | |
| 18 | 2015 | 19 | |
| 19 | 2004 | 15 | |
| 20 | 2015 | 15 |
About A. Matonia
A. Matonia is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Signal Processing, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (36 papers), Phonocardiography and Auscultation Techniques (25 papers), Non-Invasive Vital Sign Monitoring (25 papers), Neonatal and fetal brain pathology (17 papers), EEG and Brain-Computer Interfaces (7 papers), Blind Source Separation Techniques (6 papers), Heart Rate Variability and Autonomic Control (5 papers) and Preterm Birth and Chorioamnionitis (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (688 citations), Signal Processing (289 citations), Pediatrics, Perinatology and Child Health (357 citations), Cognitive Neuroscience (268 citations) and Pulmonary and Respiratory Medicine (320 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 Kahánková and Marian Kotas. Their work appears in journals such as Journal of Applied Biomedicine, Computer Methods and Programs in Biomedicine, IEEE Access, Expert Systems with Applications 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.