Mateusz Soliński

429 total citations
32 papers, 300 citations indexed

About

Mateusz Soliński is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Mateusz Soliński has authored 32 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Biomedical Engineering. Recurrent topics in Mateusz Soliński's work include Heart Rate Variability and Autonomic Control (9 papers), Non-Invasive Vital Sign Monitoring (8 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers). Mateusz Soliński is often cited by papers focused on Heart Rate Variability and Autonomic Control (9 papers), Non-Invasive Vital Sign Monitoring (8 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers). Mateusz Soliński collaborates with scholars based in Poland, United Kingdom and Germany. Mateusz Soliński's co-authors include Jan Gierałtowski, Łukasz Kołtowski, Jan J. Żebrowski, Piotr Dąbrowiecki, Katarzyna Stępień, Ewa Jassem, Agnieszka Sobierajska-Rek, Anna Bodzenta­‐Łukaszyk, Paweł Nastałek and Eliza Wasilewska and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and Journal of Allergy and Clinical Immunology.

In The Last Decade

Mateusz Soliński

28 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateusz Soliński Poland 11 131 115 50 44 42 32 300
Cahit Bílgín Türkiye 11 53 0.4× 99 0.9× 84 1.7× 28 0.6× 36 0.9× 31 335
Ad J.J. Maas Netherlands 10 106 0.8× 37 0.3× 40 0.8× 63 1.4× 57 1.4× 13 337
Maria Khan Pakistan 11 116 0.9× 94 0.8× 25 0.5× 14 0.3× 24 0.6× 33 465
Vlastimil Vondra Czechia 12 328 2.5× 112 1.0× 52 1.0× 24 0.5× 13 0.3× 49 502
James Carroll United States 10 48 0.4× 34 0.3× 40 0.8× 49 1.1× 57 1.4× 27 431
Manuel Varela Spain 11 150 1.1× 14 0.1× 35 0.7× 32 0.7× 16 0.4× 30 371
Aravind Natarajan United States 5 149 1.1× 31 0.3× 151 3.0× 51 1.2× 21 0.5× 8 344
Iana Simova Bulgaria 14 421 3.2× 56 0.5× 74 1.5× 54 1.2× 82 2.0× 64 490
Luo Hong China 11 297 2.3× 81 0.7× 187 3.7× 74 1.7× 54 1.3× 40 560
Tomohide Ichikawa Japan 9 184 1.4× 45 0.4× 84 1.7× 53 1.2× 15 0.4× 28 335

Countries citing papers authored by Mateusz Soliński

Since Specialization
Citations

This map shows the geographic impact of Mateusz Soliński'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 Mateusz Soliński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Soliński more than expected).

Fields of papers citing papers by Mateusz Soliński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateusz Soliński

This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Soliński. A scholar is included among the top collaborators of Mateusz Soliński 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 Mateusz Soliński. Mateusz Soliński 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.
Pope, Victoria, Mateusz Soliński, Pier D. Lambiase, & Elaine Chew. (2025). High blood pressure inhibits cardiovascular responsiveness to expressive classical music. Scientific Reports. 15(1). 10908–10908.
2.
Korczyński, Piotr, et al.. (2024). 30-day Spirometry Holter method design and prospective observational study. Scientific Reports. 14(1). 26204–26204.
3.
Soliński, Mateusz, et al.. (2024). Genetic Algorithms for Feature Selection in the Classification of COVID-19 Patients. Bioengineering. 11(9). 952–952. 1 indexed citations
4.
Soliński, Mateusz, et al.. (2024). A framework for modeling performers' beat-to-beat heart intervals using music features and Interpretation Maps. Frontiers in Psychology. 15. 1403599–1403599. 1 indexed citations
5.
Kołtowski, Łukasz, et al.. (2024). Remotely supervised spirometry versus laboratory-based spirometry during the COVID-19 pandemic: a retrospective analysis. Respiratory Research. 25(1). 39–39. 2 indexed citations
6.
Kowalczyk, Weronika, et al.. (2023). Photoplethysmography wave morphology in patients with atrial fibrillation. Physiological Measurement. 44(4). 45001–45001. 5 indexed citations
7.
Soliński, Mateusz, et al.. (2023). Triangle Simplex Plots for Representing and Classifying Heart Rate Variability. Computing in cardiology.
8.
Soliński, Mateusz, et al.. (2023). Deep learning algorithm for visual quality assessment of the spirograms. Physiological Measurement. 44(8). 85004–85004. 2 indexed citations
9.
Soliński, Mateusz, et al.. (2023). Time Delay Stability Analysis of Pairwise Interactions Amongst Ensemble-Listener RR Intervals and Expressive Music Features. Computing in cardiology. 1 indexed citations
10.
Soliński, Mateusz, et al.. (2022). Heart rate variability comparison between young males after 4–6 weeks from the end of SARS-CoV-2 infection and controls. Scientific Reports. 12(1). 8832–8832. 22 indexed citations
11.
Soliński, Mateusz, et al.. (2022). Automatic Algorithm for Quality Assessment of the Unsupervised Spirometry Based on Machine Learning Method. Journal of Allergy and Clinical Immunology. 149(2). AB42–AB42. 1 indexed citations
12.
Górska, Katarzyna, et al.. (2021). The use of a mobile spirometry with a feedback quality assessment in primary care setting – A nationwide cross-sectional feasibility study. Respiratory Medicine. 184. 106472–106472. 9 indexed citations
13.
Soliński, Mateusz, et al.. (2020). Automatic cough detection based on airflow signals for portable spirometry system. Informatics in Medicine Unlocked. 18. 100313–100313. 29 indexed citations
14.
Soliński, Mateusz, Paweł Kuklik, Jan Gierałtowski, et al.. (2020). The effect of persistent U-shaped patterns in RR night-time series on the heart rate variability complexity in healthy humans. Physiological Measurement. 41(6). 65001–65001. 4 indexed citations
15.
Soliński, Mateusz, Rafał Baranowski, Beata Graff, & Jan J. Żebrowski. (2019). The Effect of U-Shaped Patterns to Nonlinear Properties of Heart Rate Variability. Computing in Cardiology Conference. 1 indexed citations
16.
Kołtowski, Łukasz, et al.. (2019). Quantitative flow ratio and fractional flow reserve mismatch – clinical and biochemical predictors of measurement discrepancy. Advances in Interventional Cardiology. 15(3). 301–307. 7 indexed citations
17.
Kołtowski, Łukasz, Mariusz Tomaniak, Mateusz Soliński, et al.. (2018). Quantitative flow ratio derived from diagnostic coronary angiography in assessment of patients with intermediate coronary stenosis: a wire-free fractional flow reserve study. Clinical Research in Cardiology. 107(9). 858–867. 24 indexed citations
18.
Kołtowski, Łukasz, Mariusz Tomaniak, Mateusz Soliński, et al.. (2018). TCT-620 Influence of diabetes mellitus and chronic kidney disease on diagnostic accuracy of Quantitative Flow Ratio (QFR).. Journal of the American College of Cardiology. 72(13). B248–B248. 1 indexed citations
19.
Gierałtowski, Jan, et al.. (2015). RS slope detection algorithm for extraction of heart rate from noisy, multimodal recordings. Physiological Measurement. 36(8). 1743–1761. 25 indexed citations
20.
Gierałtowski, Jan, et al.. (2015). Algorithm for life-threatening arrhythmias detection with reduced false alarms. 1201–1204. 4 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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