Marian Kotas
- Cardiology and Cardiovascular Medicine top 10%
- Cognitive Neuroscience top 10%
- Signal Processing top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Jacek M. ŁęskiJanusz JeżewskiA. MatoniaT. KupkaK. HorobaKatarzyna StąporSonia H. Contreras-OrtizJanusz Wróbel
- Topics
- ECG Monitoring and Analysis (22 papers)EEG and Brain-Computer Interfaces (16 papers)Blind Source Separation Techniques (14 papers)
In The Last Decade
Marian Kotas
27 papers receiving 323 citations
Peers
Comparison fields: 5 of 60
- Cardiology and Cardiovascular Medicine 235
- Cognitive Neuroscience 139
- Signal Processing 139
- Biomedical Engineering 75
- Pulmonary and Respiratory Medicine 48
Countries citing papers authored by Marian Kotas
This map shows the geographic impact of Marian Kotas'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 Marian Kotas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marian Kotas more than expected).
Fields of papers citing papers by Marian Kotas
This network shows the impact of papers produced by Marian Kotas. 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 Marian Kotas. The network helps show where Marian Kotas may publish in the future.
Co-authorship network of co-authors of Marian Kotas
This figure shows the co-authorship network connecting the top 25 collaborators of Marian Kotas. A scholar is included among the top collaborators of Marian Kotas 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 Marian Kotas. Marian Kotas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 35 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 38 | |
| 12 | 45 | |
| 13 | SEPARATION OF ABDOMINAL FETAL ELECTROCARDIOGRAMS IN TWIN PREGNANCY | 1 |
| 14 | 8 | |
| 15 | Combined Application of Independent Component Analysis and Projective Filtering to Fetal ECG Extraction | 15 |
| 16 | Projective filtering of time-aligned beats for foetal ECG extraction | 13 |
| 17 | 12 | |
| 18 | 15 | |
| 19 | 33 | |
| 20 | 28 |
About Marian Kotas
Marian Kotas is a scholar working on Signal Processing, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 29 papers that have together received 341 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (22 papers), EEG and Brain-Computer Interfaces (16 papers) and Blind Source Separation Techniques (14 papers). The work is most often cited by research in Signal Processing (139 citations), Cardiology and Cardiovascular Medicine (235 citations) and Cognitive Neuroscience (139 citations). Marian Kotas has collaborated with scholars based in Poland, Colombia and Spain. Frequent co-authors include Jacek M. Łęski, Janusz Jeżewski, A. Matonia, T. Kupka, K. Horoba, Katarzyna Stąpor, Sonia H. Contreras-Ortiz, Janusz Wróbel, Francisco Castells and Miguel Urina‐Triana. Their work appears in journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and Fuzzy Sets and Systems.
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.