Michał Bartyś
Impact in
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- Fault Detection and Control Systems
- Advanced Data Processing Techniques
- Machine Fault Diagnosis Techniques
- Advanced Control Systems Optimization
- Control Systems and Identification
- Medical Laboratory Technology top 10%
Papers in
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- Fault Detection and Control Systems 29
- Advanced Data Processing Techniques 11
- Machine Fault Diagnosis Techniques 4
- Industrial Technology and Control Systems 3
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- Mineral Processing and Grinding 7
- Hydraulic and Pneumatic Systems 5
- Co-authors
- Michał Syfert (8 shared papers)Jan Maciej Kościelny (19 shared papers)Joseba Quevedo (3 shared papers)Ron J. Patton (2 shared papers)Salvador De Las Heras (2 shared papers)José Sá da Costa (3 shared papers)J. M. F. Calado (3 shared papers)Józef Korbicz (1 shared paper)
In The Last Decade
Michał Bartyś
32 papers receiving 371 citations
Peers
Comparison fields: 5 of 44
- Control and Systems Engineering 349
- Medical Laboratory Technology 11
- Statistics, Probability and Uncertainty 40
- Artificial Intelligence 118
- Mechanical Engineering 111
Countries citing papers authored by Michał Bartyś
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
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-authors
The 14 scholars most cited alongside Michał Bartyś, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 145 | |
| 2 | 2003 | 38 | |
| 3 | 2005 | 33 | |
| 4 | 2011 | 23 | |
| 5 | 2005 | 18 | |
| 6 | 2019 | 16 | |
| 7 | 2003 | 16 | |
| 8 | 2021 | 11 | |
| 9 | Fast and adaptive bidimensional empirical mode decomposition for the real-time video fusion | 2012 | 11 |
| 10 | Fuzzy-Logic Fault Diagnosis of Industrial Process Actuators | 1999 | 10 |
| 11 | 2013 | 10 | |
| 12 | 2002 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2008 | 6 | |
| 15 | 2002 | 5 | |
| 16 | 2003 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2000 | 4 | |
| 19 | 2003 | 4 | |
| 20 | 2000 | 4 |
About Michał Bartyś
Michał Bartyś is a scholar working on Control and Systems Engineering, Mechanical Engineering, Artificial Intelligence, Mechanics of Materials and Computer Networks and Communications, having authored 36 papers that have together received 407 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (29 papers), Advanced Data Processing Techniques (11 papers), Mineral Processing and Grinding (7 papers), Engineering Diagnostics and Reliability (5 papers), AI-based Problem Solving and Planning (5 papers), Hydraulic and Pneumatic Systems (5 papers), Machine Fault Diagnosis Techniques (4 papers) and Industrial Technology and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (349 citations), Medical Laboratory Technology (11 citations), Statistics, Probability and Uncertainty (40 citations), Artificial Intelligence (118 citations) and Mechanical Engineering (111 citations). Michał Bartyś has collaborated with scholars based in Poland, Portugal and Spain. Frequent 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. Their work appears in journals such as International Journal of Applied Mathematics and Computer Science, Control Engineering Practice, Energies, Engineering Applications of Artificial Intelligence and Bulletin of the Polish Academy of Sciences Technical Sciences.
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.