Arkadiusz Syta

1.1k total citations
48 papers, 890 citations indexed

About

Arkadiusz Syta is a scholar working on Statistical and Nonlinear Physics, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Arkadiusz Syta has authored 48 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 15 papers in Mechanical Engineering and 12 papers in Computer Networks and Communications. Recurrent topics in Arkadiusz Syta's work include Chaos control and synchronization (19 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Gear and Bearing Dynamics Analysis (8 papers). Arkadiusz Syta is often cited by papers focused on Chaos control and synchronization (19 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Gear and Bearing Dynamics Analysis (8 papers). Arkadiusz Syta collaborates with scholars based in Poland, Germany and Italy. Arkadiusz Syta's co-authors include Grzegorz Litak, Marek Borowiec, Andrzej Rysak, Józef Jonak, Marian Wiercigroch, Chris Bowen, Hyunsun A. Kim, Rafał Rusinek, Stefano Lenci and Michael Scheffler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Arkadiusz Syta

42 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arkadiusz Syta Poland 18 386 269 186 182 145 48 890
Marek Borowiec Poland 19 453 1.2× 215 0.8× 120 0.6× 349 1.9× 168 1.2× 50 875
Zhilong Huang China 20 256 0.7× 305 1.1× 233 1.3× 525 2.9× 306 2.1× 83 1.2k
A.V. Krysko Russia 20 126 0.3× 204 0.8× 230 1.2× 212 1.2× 79 0.5× 100 1.2k
Reyolando Manoel Lopes Rebello da Fonseca Brasil Brazil 18 217 0.6× 514 1.9× 569 3.1× 591 3.2× 112 0.8× 97 1.5k
C. P. Vyasarayani India 15 146 0.4× 67 0.2× 238 1.3× 154 0.8× 48 0.3× 69 784
Jorge Luis Palacios Félix Brazil 20 205 0.5× 496 1.8× 476 2.6× 456 2.5× 126 0.9× 51 1.3k
X. Wang China 10 92 0.2× 169 0.6× 81 0.4× 142 0.8× 61 0.4× 19 608
Nasser A. Saeed Egypt 24 529 1.4× 94 0.3× 867 4.7× 576 3.2× 68 0.5× 71 1.1k
R.H.B. Fey Netherlands 18 189 0.5× 188 0.7× 340 1.8× 280 1.5× 186 1.3× 89 1.0k
Paweł Olejnik Poland 14 231 0.6× 179 0.7× 284 1.5× 139 0.8× 44 0.3× 54 704

Countries citing papers authored by Arkadiusz Syta

Since Specialization
Citations

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

Fields of papers citing papers by Arkadiusz Syta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arkadiusz Syta

This figure shows the co-authorship network connecting the top 25 collaborators of Arkadiusz Syta. A scholar is included among the top collaborators of Arkadiusz Syta 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 Arkadiusz Syta. Arkadiusz Syta 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.
Karpiński, Robert, Arkadiusz Syta, Anna Machrowska, et al.. (2026). Application of nonlinear properties of acoustic signals for diagnosing knee joint damage. Biomedical Signal Processing and Control. 116. 109497–109497.
2.
Machrowska, Anna, Robert Karpiński, Marcin Maciejewski, et al.. (2025). Multi-Scale Analysis of Knee Joint Acoustic Signals for Cartilage Degeneration Assessment. Sensors. 25(3). 706–706. 8 indexed citations
3.
Chorągiewicz, Tomasz, Dominika Wróbel‐Dudzińska, Robert Karpiński, et al.. (2025). Keratoconus diagnosis based on dynamic corneal imaging using 3D convolutional neural networks. Advances in Science and Technology – Research Journal. 19(12). 257–272.
4.
Karpiński, Robert & Arkadiusz Syta. (2025). Application of encoder-based motion analysis and machine learning for knee osteoarthritis detection: A pilot study. Applied Computer Science. 21(4). 21–31.
5.
Machrowska, Anna, Robert Karpiński, Marcin Maciejewski, et al.. (2025). Hybrid Framework for Cartilage Damage Detection from Vibroacoustic Signals Using Ensemble Empirical Mode Decomposition and CNNs. Sensors. 25(21). 6638–6638.
6.
Ambroziak, Leszek, et al.. (2024). Diagnostics of unmanned aerial vehicle with recurrence based approach of piezo-element voltage signals. Scientific Reports. 14(1). 17211–17211. 3 indexed citations
7.
Machrowska, Anna, Robert Karpiński, Marcin Maciejewski, et al.. (2024). Application of Recurrence Quantification Analysis in the Detection of Osteoarthritis of the Knee with the Use of Vibroarthrography. SHILAP Revista de lepidopterología. 18(5). 19–31. 14 indexed citations
8.
9.
Ambroziak, Leszek, et al.. (2024). Nonlinear recurrence analysis of piezo sensor placement for unmanned aerial vehicle motor failure diagnosis. Scientific Reports. 14(1). 8289–8289. 3 indexed citations
10.
11.
Syta, Arkadiusz, et al.. (2023). Intelligent Diagnostics of Radial Internal Clearance in Ball Bearings with Machine Learning Methods. Sensors. 23(13). 5875–5875. 12 indexed citations
12.
Syta, Arkadiusz, et al.. (2022). Experimental Verification of the Impact of Radial Internal Clearance on a Bearing’s Dynamics. Sensors. 22(17). 6366–6366. 5 indexed citations
13.
Litak, Grzegorz, et al.. (2021). Effect of Radial Clearance on Ball Bearing’s Dynamics Using a 2-DOF Model. International Journal of Simulation Modelling. 20(3). 513–524. 11 indexed citations
14.
Jonak, Kamil, Arkadiusz Syta, Hanna Karakuła‐Juchnowicz, & Paweł Krukow. (2020). The Clinical Application of EEG-Signals Recurrence Analysis as a Measure of Functional Connectivity: Comparative Case Study of Patients with Various Neuropsychiatric Disorders. Brain Sciences. 10(6). 380–380. 4 indexed citations
15.
Syta, Arkadiusz, Davide Bernardini, Grzegorz Litak, Marcelo A. Savi, & Kamil Jonak. (2020). A comparison of different approaches to detect the transitions from regular to chaotic motions in SMA oscillator. Meccanica. 55(6). 1295–1308. 6 indexed citations
16.
Jonak, Kamil & Arkadiusz Syta. (2019). Gearbox damage identification using Ensemble Empirical Decomposition method. SHILAP Revista de lepidopterología. 252. 6005–6005. 1 indexed citations
17.
Syta, Arkadiusz, et al.. (2017). Diagnosing the automobile starting system. SHILAP Revista de lepidopterología. 170(3). 19–23. 2 indexed citations
18.
Litak, Grzegorz, Arkadiusz Syta, & Rafał Rusinek. (2011). Dynamical changes during composite milling: recurrence and multiscale entropy analysis. The International Journal of Advanced Manufacturing Technology. 56(5-8). 445–453. 50 indexed citations
19.
Litak, Grzegorz, Arkadiusz Syta, Baofeng Yao, & Guo-Xiu Li. (2009). Indicated mean effective pressure oscillations in a natural gas combustion engine by recurrence plots. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 47(1). 55–67. 15 indexed citations
20.
Litak, Grzegorz, Jakub Gajewski, Arkadiusz Syta, & Józef Jonak. (2008). Quantitative estimation of the tool wear effects in a ripping head by recurrence plots. 46(3). 521–530. 24 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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