M. Kania

430 total citations
31 papers, 303 citations indexed

About

M. Kania is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, M. Kania has authored 31 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Electrical and Electronic Engineering. Recurrent topics in M. Kania's work include Cardiac electrophysiology and arrhythmias (24 papers), ECG Monitoring and Analysis (23 papers) and Cardiac pacing and defibrillation studies (6 papers). M. Kania is often cited by papers focused on Cardiac electrophysiology and arrhythmias (24 papers), ECG Monitoring and Analysis (23 papers) and Cardiac pacing and defibrillation studies (6 papers). M. Kania collaborates with scholars based in Poland, France and Austria. M. Kania's co-authors include Roman Maniewski, Dariusz Janusek, G Stix, Hervé Rix, Grzegorz Opolski, Leszek Królicki, Małgorzata Kobylecka, Grzegorz Karpiński, Adam Liebert and Jana Švehlíková and has published in prestigious journals such as Annals of Biomedical Engineering, Computer Methods and Programs in Biomedicine and Biomedical Signal Processing and Control.

In The Last Decade

M. Kania

31 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Kania Poland	9	252	64	61	47	28	31	303
Walther H. W. Schulze Germany	10	273 1.1×	93 1.5×	43 0.7×	72 1.5×	12 0.4×	36	404
Paul Lander United States	12	384 1.5×	49 0.8×	49 0.8×	66 1.4×	27 1.0×	25	418
Pedro Gomis Spain	11	383 1.5×	107 1.7×	61 1.0×	38 0.8×	18 0.6×	58	452
Peter J. Bourdillon United Kingdom	6	299 1.2×	72 1.1×	67 1.1×	49 1.0×	22 0.8×	15	355
Jonas L. Isaksen Denmark	11	234 0.9×	40 0.6×	45 0.7×	29 0.6×	7 0.3×	44	411
Hyung-Ro Yoon South Korea	9	273 1.1×	201 3.1×	70 1.1×	18 0.4×	30 1.1×	22	421
Qiang Zhu China	10	109 0.4×	117 1.8×	26 0.4×	20 0.4×	23 0.8×	31	261
Nicolas Pilia Germany	8	244 1.0×	79 1.2×	82 1.3×	19 0.4×	14 0.5×	20	282
James A. Rosengarten United Kingdom	11	434 1.7×	146 2.3×	127 2.1×	75 1.6×	30 1.1×	16	481

Countries citing papers authored by M. Kania

Since Specialization

Citations

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

Fields of papers citing papers by M. Kania

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kania

This figure shows the co-authorship network connecting the top 25 collaborators of M. Kania. A scholar is included among the top collaborators of M. Kania 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 M. Kania. M. Kania is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kania, M., et al.. (2019). Optimal ECG Lead System for Exercise Assessment of Ischemic Heart Disease. Journal of Cardiovascular Translational Research. 13(5). 758–768. 3 indexed citations

Kania, M., et al.. (2019). High-Resolution Body Surface Potential Mapping in Exercise Assessment of Ischemic Heart Disease. Annals of Biomedical Engineering. 47(5). 1300–1313. 7 indexed citations

Kania, M., et al.. (2017). Prediction of the Exit Site of Ventricular Tachycardia Based on Different ECG Lead Systems. Computing in cardiology. 6 indexed citations

Meste, Olivier, Dariusz Janusek, Andrzej Przybylski, et al.. (2015). Improved robust T-wave alternans detectors. Medical & Biological Engineering & Computing. 53(4). 361–370. 4 indexed citations

Kania, M., Dariusz Janusek, Małgorzata Kobylecka, et al.. (2014). ST-segment changes in high-resolution body surface potential maps measured during exercise to assess myocardial ischemia: a pilot study. Archives of Medical Science. 6(6). 1086–1090. 4 indexed citations

Janusek, Dariusz, et al.. (2014). A simulation of T-wave alternans vectocardiographic representation performed by changing the ventricular heart cells action potential duration. Computer Methods and Programs in Biomedicine. 114(1). 102–108. 5 indexed citations

Janusek, Dariusz, M. Kania, Małgorzata Kobylecka, et al.. (2014). Evaluation of T-wave alternans in high-resolution ECG maps recorded during the stress test in patients after myocardial infarction. Archives of Medical Science. 1(1). 99–105. 5 indexed citations

Kania, M., et al.. (2013). The effect of precordial lead displacement on P-wave morphology in body surface potential mapping. Computing in Cardiology Conference. 531–534. 4 indexed citations

Kania, M., et al.. (2013). The effect of precordial lead displacement on ECG morphology. Medical & Biological Engineering & Computing. 52(2). 109–119. 76 indexed citations

10.

Stix, G, et al.. (2013). An Analysis of the U‐Wave and Its Relation to the T‐Wave in Body Surface Potential Maps for Healthy Subjects and MI Patients. Annals of Noninvasive Electrocardiology. 19(2). 145–156. 9 indexed citations

11.

Kania, M., et al.. (2012). Evaluation of Blind Source Separation methods for noise reduction in BSPM recorded during exercise. Computing in Cardiology. 593–596. 1 indexed citations

12.

Meste, Olivier, Dariusz Janusek, M. Kania, & Roman Maniewski. (2011). T waves segmentation and analysis using inverse normalized integrals. PubMed. 2011. 4701–4704. 1 indexed citations

13.

Švehlíková, Jana, et al.. (2011). Influence of individual torso geometry on inverse solution to 2 dipoles. Journal of Electrocardiology. 45(1). 7–12. 6 indexed citations

14.

Janusek, Dariusz, et al.. (2011). Application of Wavelet Based Denoising for T-Wave Alternans Analysis in High Resolution ECG Maps. Measurement Science Review. 11(6). 8 indexed citations

15.

Švehlíková, Jana, et al.. (2011). Influence of individual torso geometry on inverse solution to 2 dipoles. Journal of Electrocardiology. 44(2). e62–e62. 1 indexed citations

16.

Stix, G, et al.. (2011). Risk assessment of ventricular arrhythmia using new parameters based on high resolution body surface potential mapping. Medical Science Monitor. 17(3). MT26–MT33. 20 indexed citations

17.

Janusek, Dariusz, et al.. (2010). Simulation of T-Wave Alternans and its Relation to the Duration of Ventricular Action Potentials Disturbance. 3(1). 5 indexed citations

18.

Janusek, Dariusz, et al.. (2009). Vectorcardiographic representation of concordant and discordant T-Wave alternans. 705–708. 1 indexed citations

19.

Woxenius, Johan, et al.. (2006). Possibilities to transfer goods from road to rail to and from the ports of Karlskrona and Gdynia. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations

20.

Janusek, Dariusz, M. Kania, & Roman Maniewski. (2006). Effect of electrocardiogram signal quality on T-wave alternans measurements: A simulation study. Computing in Cardiology Conference. 505–508. 3 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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