Michał Bartyś

649 total citations
36 papers, 406 citations indexed

About

Michał Bartyś is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Michał Bartyś has authored 36 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 13 papers in Mechanical Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Michał Bartyś's work include Fault Detection and Control Systems (29 papers), Advanced Data Processing Techniques (11 papers) and Mineral Processing and Grinding (7 papers). Michał Bartyś is often cited by papers focused on Fault Detection and Control Systems (29 papers), Advanced Data Processing Techniques (11 papers) and Mineral Processing and Grinding (7 papers). Michał Bartyś collaborates with scholars based in Poland, Portugal and United Kingdom. Michał Bartyś's co-authors include Michał Syfert, Jan Maciej Kościelny, Joseba Quevedo, Ron J. Patton, Salvador De Las Heras, José Sá da Costa, J. M. F. Calado, Józef Korbicz, Maciek Wielgus and Anna Jankowska and has published in prestigious journals such as Expert Systems with Applications, Automation in Construction and IEEE Transactions on Control Systems Technology.

In The Last Decade

Michał Bartyś

32 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michał Bartyś Poland 11 348 117 111 40 23 36 406
Michał Syfert Poland 10 341 1.0× 110 0.9× 104 0.9× 49 1.2× 20 0.9× 41 416
Birgit Köppen-Seliger Germany 10 394 1.1× 106 0.9× 121 1.1× 30 0.8× 28 1.2× 22 439
Kurt Pichler Austria 10 254 0.7× 115 1.0× 153 1.4× 26 0.7× 27 1.2× 33 393
Wojciech Cholewa Poland 5 191 0.5× 94 0.8× 65 0.6× 25 0.6× 14 0.6× 17 322
Zhuofu Pan China 5 327 0.9× 136 1.2× 199 1.8× 25 0.6× 18 0.8× 12 464
Michael G. Forbes Canada 10 473 1.4× 74 0.6× 76 0.7× 39 1.0× 22 1.0× 32 585
S.L. Shah Canada 13 802 2.3× 82 0.7× 107 1.0× 74 1.9× 18 0.8× 27 880
Belarmino Pulido Spain 13 464 1.3× 190 1.6× 69 0.6× 67 1.7× 52 2.3× 37 540
Lamiaa M. Elshenawy Egypt 10 240 0.7× 63 0.5× 121 1.1× 48 1.2× 12 0.5× 15 304
Sung-Shick Kim South Korea 7 129 0.4× 116 1.0× 67 0.6× 50 1.3× 11 0.5× 33 350

Countries citing papers authored by Michał Bartyś

Since Specialization
Citations

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

Fields of papers citing papers by Michał Bartyś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Bartyś

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Bartyś. A scholar is included among the top collaborators of Michał Bartyś 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 Michał Bartyś. Michał Bartyś 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.
Kościelny, Jan Maciej, et al.. (2022). A graph theory-based approach to the description of the process and the diagnostic system. International Journal of Applied Mathematics and Computer Science. 32(2). 1 indexed citations
2.
Bartyś, Michał, et al.. (2022). A New Energy-Efficient Approach to Planning Pick-and-Place Operations. Energies. 15(23). 8795–8795. 3 indexed citations
3.
Kościelny, Jan Maciej, et al.. (2021). Diagnosing with a hybrid fuzzy–Bayesian inference approach. Engineering Applications of Artificial Intelligence. 104. 104345–104345. 11 indexed citations
4.
Bartyś, Michał. (2020). Heterogenic Autotuner for Electro-Pneumatic Single-Action Actuators. Energies. 13(18). 4604–4604.
5.
Kościelny, Jan Maciej, et al.. (2019). The comparison of fault distinguishability approaches – case study. Bulletin of the Polish Academy of Sciences Technical Sciences. 1059–1068. 4 indexed citations
6.
Syfert, Michał, Michał Bartyś, & Jan Maciej Kościelny. (2018). Refinement of Fuzzy Diagnosis in Decentralized Two-Level Diagnostic Structure. IFAC-PapersOnLine. 51(24). 160–167. 2 indexed citations
7.
Bartyś, Michał. (2013). Generalized reasoning about faults based on the diagnostic matrix. International Journal of Applied Mathematics and Computer Science. 23(2). 407–417. 10 indexed citations
8.
Wielgus, Maciek, et al.. (2012). Fast and adaptive bidimensional empirical mode decomposition for the real-time video fusion. International Conference on Information Fusion. 649–654. 11 indexed citations
9.
Bartyś, Michał, et al.. (2012). Real-time single FPGA-based multimodal image fusion system. 10. 460–465. 3 indexed citations
10.
Kościelny, Jan Maciej, Michał Bartyś, & Michał Syfert. (2011). Method of Multiple Fault Isolation in Large Scale Systems. IEEE Transactions on Control Systems Technology. 20(5). 1302–1310. 23 indexed citations
11.
Bartyś, Michał, et al.. (2008). Control strategy of the hybrid drive for vehicle mounted aerial work platform. Automation in Construction. 18(2). 130–138. 6 indexed citations
12.
Bartyś, Michał, et al.. (2005). Fuzzy logic application for fault isolation of actuators. Computer Assisted Mechanics and Engineering Sciences. 89–102. 1 indexed citations
13.
Calado, J. M. F., José Sá da Costa, Michał Bartyś, & Józef Korbicz. (2005). FDI approach to the DAMADICS benchmark problem based on qualitative reasoning coupled with fuzzy neural networks. Control Engineering Practice. 14(6). 685–698. 18 indexed citations
14.
Kościelny, Jan Maciej, et al.. (2005). Actuator fault distinguishability study for the DAMADICS benchmark problem. Control Engineering Practice. 14(6). 645–652. 33 indexed citations
15.
Kościelny, Jan Maciej & Michał Bartyś. (2004). Models in diagnostics of industrial processes. Diagnostyka. 1 indexed citations
16.
Kościelny, Jan Maciej & Michał Bartyś. (2003). Multiple fault isolation in diagnostics of industrial processes. 1369–1374. 4 indexed citations
17.
Syfert, Michał, Ron J. Patton, Michał Bartyś, & Joseba Quevedo. (2003). Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems (DAMADICS): A Benchmark Study. IFAC Proceedings Volumes. 36(5). 843–854. 38 indexed citations
18.
Kościelny, Jan Maciej & Michał Bartyś. (2003). Fuzzy Logic Application for Diagnostic Reasoning. IFAC Proceedings Volumes. 36(5). 597–602. 2 indexed citations
19.
Kościelny, Jan Maciej & Michał Bartyś. (2000). Application of Information System Theory for Actuators Diagnosis. IFAC Proceedings Volumes. 33(11). 927–932. 4 indexed citations
20.
Kościelny, Jan Maciej, Michał Syfert, & Michał Bartyś. (1999). Fuzzy-Logic Fault Diagnosis of Industrial Process Actuators. International Journal of Applied Mathematics and Computer Science. 9(3). 653–666. 10 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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