Marek Kurzyński

1.6k total citations
71 papers, 866 citations indexed

About

Marek Kurzyński is a scholar working on Artificial Intelligence, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Marek Kurzyński has authored 71 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 20 papers in Biomedical Engineering and 17 papers in Cognitive Neuroscience. Recurrent topics in Marek Kurzyński's work include Muscle activation and electromyography studies (18 papers), Neural Networks and Applications (15 papers) and EEG and Brain-Computer Interfaces (15 papers). Marek Kurzyński is often cited by papers focused on Muscle activation and electromyography studies (18 papers), Neural Networks and Applications (15 papers) and EEG and Brain-Computer Interfaces (15 papers). Marek Kurzyński collaborates with scholars based in Poland, Australia and Portugal. Marek Kurzyński's co-authors include Tomasz Woloszynski, Paweł Podsiadło, Gwidon Stachowiak, Andrzej Wołczowski, Michał Woźniak, Robert Burduk, Konrad Jackowski, Martin Englund, Stefan Lohmander and Tito G. Amaral and has published in prestigious journals such as Scientific Reports, Pattern Recognition and Frontiers in Psychology.

In The Last Decade

Marek Kurzyński

66 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Kurzyński Poland 17 427 189 162 121 87 71 866
Cemal Köse Türkiye 18 174 0.4× 109 0.6× 423 2.6× 99 0.8× 15 0.2× 75 1.0k
Norhashimah Mohd Saad Malaysia 17 346 0.8× 297 1.6× 221 1.4× 214 1.8× 6 0.1× 72 1.1k
Tomasz Woloszynski Australia 12 245 0.6× 71 0.4× 79 0.5× 18 0.1× 103 1.2× 23 641
Türker Tuncer Türkiye 18 336 0.8× 191 1.0× 339 2.1× 230 1.9× 7 0.1× 89 1.2k
Ming Yu China 13 148 0.3× 72 0.4× 214 1.3× 63 0.5× 24 0.3× 73 741
Feng Yang China 15 253 0.6× 102 0.5× 249 1.5× 75 0.6× 9 0.1× 87 796
R. Karthik India 21 421 1.0× 141 0.7× 295 1.8× 71 0.6× 6 0.1× 95 1.6k
I Ketut Eddy Purnama Indonesia 16 220 0.5× 189 1.0× 308 1.9× 26 0.2× 82 0.9× 187 996
Yulia Hicks United Kingdom 17 387 0.9× 78 0.4× 355 2.2× 78 0.6× 6 0.1× 81 1.2k
V́ıctor González-Castro Spain 20 311 0.7× 102 0.5× 245 1.5× 43 0.4× 6 0.1× 59 1.2k

Countries citing papers authored by Marek Kurzyński

Since Specialization
Citations

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

Fields of papers citing papers by Marek Kurzyński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Kurzyński

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Kurzyński. A scholar is included among the top collaborators of Marek Kurzyński 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 Marek Kurzyński. Marek Kurzyński 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.
Kurzyński, Marek, et al.. (2024). Application of context-dependent interpretation of biosignals recognition to control a bionic multifunctional hand prosthesis. Journal of Applied Biomedicine. 44(1). 161–182. 2 indexed citations
2.
Marusiak, Jarosław, Anna Jaskólska, Marek Kurzyński, et al.. (2022). Motor imagery training of goal-directed reaching in relation to imagery of reaching and grasping in healthy people. Scientific Reports. 12(1). 18610–18610. 3 indexed citations
3.
Jaskólska, Anna, Jarosław Marusiak, Marek Kurzyński, et al.. (2021). Motor Imagery Training of Reaching-to-Grasp Movement Supplemented by a Virtual Environment in an Individual With Congenital Bilateral Transverse Upper-Limb Deficiency. Frontiers in Psychology. 12. 638780–638780. 5 indexed citations
4.
Kurzyński, Marek, et al.. (2015). Multiclassifier system with hybrid learning applied to the control of bioprosthetic hand. Computers in Biology and Medicine. 69. 286–297. 20 indexed citations
5.
Kurzyński, Marek, et al.. (2012). On new methods of dynamic ensemble selection based on randomized reference classifier. Journal of Medical Informatics & Technologies. 20. 1 indexed citations
6.
Kurzyński, Marek & Andrzej Wołczowski. (2011). Dynamic selection of classifiers ensemble applied to the recognition of EMG signal for the control of bioprosthetic hand. International Conference on Control, Automation and Systems. 382–386. 8 indexed citations
7.
Wołczowski, Andrzej, et al.. (2011). Concept of a system for training of bioprosthetic hand control in one side handless humans using virtual reality and visual and sensory biofeedback. Journal of Medical Informatics & Technologies. 18. 4 indexed citations
8.
Woloszynski, Tomasz, Paweł Podsiadło, Gwidon Stachowiak, et al.. (2011). Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture. Arthritis & Rheumatism. 64(3). 688–695. 54 indexed citations
9.
Woloszynski, Tomasz, Paweł Podsiadło, Gwidon Stachowiak, & Marek Kurzyński. (2010). A signature dissimilarity measure for trabecular bone texture in knee radiographs. Medical Physics. 37(5). 2030–2042. 36 indexed citations
10.
Woloszynski, Tomasz & Marek Kurzyński. (2010). A Measure of Competence Based on Randomized Reference Classifier for Dynamic Ensemble Selection. eSpace (Curtin University). 4194–4197. 23 indexed citations
11.
Kurzyński, Marek, et al.. (2010). On two measures of classifier competence for dynamic ensemble selection - experimental comparative analysis. eSpace (Curtin University). 41. 1108–1113. 11 indexed citations
12.
Kurzyński, Marek & Andrzej Wołczowski. (2009). Control of Dexterous Bio-Prosthetic Hand via Sequential Recognition of EMG Signals Using Fuzzy Relations. Studies in health technology and informatics. 150. 799–803. 3 indexed citations
13.
Kurzyński, Marek, et al.. (2007). Computer Recognition Systems 2 (Advances in Soft Computing). Springer eBooks. 6 indexed citations
14.
Kurzyński, Marek, et al.. (2007). An improved diffusion driven watershed algorithm for image segmentation of cells. Journal of Medical Informatics & Technologies. 11. 1 indexed citations
15.
Kurzyński, Marek, et al.. (2007). Computer Recognition Systems 2. DIAL (Catholic University of Leuven). 30 indexed citations
16.
17.
Kurzyński, Marek, et al.. (2005). Computer Recognition Systems: Proceedings of 4th International Conference on Computer Recognition Systems CORES'05 (Advances in Soft Computing). 1 indexed citations
18.
Kurzyński, Marek. (2002). Probabilistic algorithms, Neural Networks and Fuzzy System Applied to the Multistage Diagnosis of Acute Abdominal Pain - A Comparative Study of Methods.. 245–249.
19.
Kurzyński, Marek, Michał Woźniak, & Katarzyna J. Blinowska. (2002). Computer-aided sequential diagnosis via combined and unified recognition algorithms. 5. 2014–2015. 1 indexed citations
20.
Kurzyński, Marek. (1987). Diagnosis of acute abdominal pain using a three-stage classifier. Computers in Biology and Medicine. 17(1). 19–27. 8 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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