Tomasz Paczkowski
Impact in
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- Manufacturing Process and Optimization
- Digital Transformation in Industry
- Mechanical Engineering top 10%
- Advanced machining processes and optimization
Papers in
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- Advanced machining processes and optimization 21
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- Advanced Surface Polishing Techniques 18
- Co-authors
- Tadeusz Mikołajczyk (12 shared papers)Dariusz Mikołajewski (5 shared papers)Emilia Mikołajewska (5 shared papers)Ł. Dąbrowski (1 shared paper)Danil Yurievich Pimenov (6 shared papers)Adam Kłodowski (3 shared papers)Marek Macko (3 shared papers)Fuwen Hu (2 shared papers)
In The Last Decade
Tomasz Paczkowski
31 papers receiving 389 citations
Tomasz Paczkowski's Hit Papers
Peers
Comparison fields: 5 of 69
- Industrial and Manufacturing Engineering 73
- Mechanical Engineering 220
- Biomedical Engineering 204
- Automotive Engineering 52
- Electrical and Electronic Engineering 172
Countries citing papers authored by Tomasz Paczkowski
This map shows the geographic impact of Tomasz Paczkowski'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 Tomasz Paczkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Paczkowski more than expected).
Fields of papers citing papers by Tomasz Paczkowski
This network shows the impact of papers produced by Tomasz Paczkowski. 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 Tomasz Paczkowski. The network helps show where Tomasz Paczkowski may publish in the future.
Co-authors
The 21 scholars most cited alongside Tomasz Paczkowski, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 65 | |
| 2 | Generative AI in AI-Based Digital Twins for Fault Diagnosis for Predictive Maintenance in Industry 4.0/5.0 Hit paper breakdown → | 2025 | 37 |
| 3 | 2005 | 36 | |
| 4 | 2019 | 32 | |
| 5 | 2020 | 29 | |
| 6 | 2017 | 29 | |
| 7 | 2023 | 26 | |
| 8 | 2008 | 21 | |
| 9 | 2023 | 20 | |
| 10 | 2018 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2015 | 10 | |
| 15 | 2025 | 9 | |
| 16 | 2016 | 8 | |
| 17 | Electrode tool designing in the ECM machining for curvilinear surfaces | 2010 | 6 |
| 18 | 2018 | 6 | |
| 19 | 2018 | 6 | |
| 20 | Boundary conditions analysis of ECM machining for curvilinear sufraces | 2011 | 5 |
About Tomasz Paczkowski
Tomasz Paczkowski is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 35 papers that have together received 413 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (21 papers), Advanced Surface Polishing Techniques (18 papers), Advanced Machining and Optimization Techniques (17 papers), Manufacturing Process and Optimization (5 papers), Engineering Technology and Methodologies (4 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Advanced Battery Technologies Research (2 papers) and Metal Alloys Wear and Properties (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (73 citations), Mechanical Engineering (220 citations), Biomedical Engineering (204 citations), Automotive Engineering (52 citations) and Electrical and Electronic Engineering (172 citations). Tomasz Paczkowski has collaborated with scholars based in Poland, Russia and Finland. Frequent co-authors include Tadeusz Mikołajczyk, Dariusz Mikołajewski, Emilia Mikołajewska, Ł. Dąbrowski, Danil Yurievich Pimenov, Adam Kłodowski, Marek Macko, Fuwen Hu, Khaled Giasin and Hayder F. N. Al-Shuka. Their work appears in journals such as Applied Sciences, Journal of Materials Processing Technology, Journal of Manufacturing Processes, Machining Science and Technology 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.