Michał Pająk
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Automotive Engineering top 10%
- Mechanics of Materials
- Computer Vision and Pattern Recognition
- Topics
- Technical Engine Diagnostics and Monitoring (29 papers)Engine and Fuel Emissions (16 papers)Mechanical Engineering Research and Applications (13 papers)
- Cited by
- Automotive EngineeringControl and Systems EngineeringComputer Graphics and Computer-Aided Design
- Partner nations
- PolandCroatiaUnited Kingdom
In The Last Decade
Michał Pająk
46 papers receiving 384 citations
Peers
Comparison fields: 5 of 69
- Control and Systems Engineering 143
- Mechanical Engineering 137
- Automotive Engineering 114
- Mechanics of Materials 71
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Michał Pająk
This map shows the geographic impact of Michał Pająk'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 Pająk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Pająk more than expected).
Fields of papers citing papers by Michał Pająk
This network shows the impact of papers produced by Michał Pająk. 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 Pająk. The network helps show where Michał Pająk may publish in the future.
Co-authorship network of co-authors of Michał Pająk
This figure shows the co-authorship network connecting the top 25 collaborators of Michał Pająk. A scholar is included among the top collaborators of Michał Pająk 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 Pająk. Michał Pająk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | Condition Monitoring of Rotary Machinery Using Industrial IOT Framework: Step to Smart Maintenance | 1 |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 60 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 50 | |
| 14 | 22 | |
| 15 | Rotating systems misalignment identification using fuzzy clustering method | 1 |
| 16 | Analysis of vibration time histories in the time domain for propulsion systems of minesweepers | 14 |
| 17 | Operational potential of a complex technical system | 4 |
| 18 | The technical states’ space in the modelling process of operation tasks of a complex technical system | 4 |
| 19 | The analysis of maintenance management strategies from the operational potential usage point of view | 5 |
| 20 | Rozmyty model oceny jakości działania złożonego systemu eksploatacji | 3 |
About Michał Pająk
Michał Pająk is a scholar working on Automotive Engineering, Computer Graphics and Computer-Aided Design and Fluid Flow and Transfer Processes, having authored 55 papers that have together received 421 indexed citations. Recurring topics across this work include Technical Engine Diagnostics and Monitoring (29 papers), Engine and Fuel Emissions (16 papers) and Mechanical Engineering Research and Applications (13 papers). The work is most often cited by research in Automotive Engineering (114 citations), Control and Systems Engineering (143 citations) and Computer Graphics and Computer-Aided Design (15 citations). Michał Pająk has collaborated with scholars based in Poland, Croatia and United Kingdom. Frequent co-authors include Łukasz Muślewski, Dragutin Lisjak, Antje Nuthmann and Danijel Pavković. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Materials.
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.