Michał Kruk
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- Industrial Vision Systems and Defect Detection 10
- Inorganic Chemistry top 10%
- Mechanical Engineering top 10%
- Advanced machining processes and optimization 14
- Mineral Processing and Grinding 4
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- AI in cancer detection 13
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- Advanced Machining and Optimization Techniques 6
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- Image Retrieval and Classification Techniques 6
- Digital Imaging for Blood Diseases 4
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- Spectroscopy and Chemometric Analyses 5
- Co-authors
- Mietek JaroniecJarosław KurekS. OsowskiBartosz ŚwiderskiY. BereznitskiJ. ChomaWalid BarhoumiJames Olivier
- Partner nations
- PolandUnited StatesTunisia
In The Last Decade
Michał Kruk
49 papers receiving 766 citations
Peers
Comparison fields: 5 of 102
- Industrial and Manufacturing Engineering 96
- Inorganic Chemistry 109
- Materials Chemistry 277
- Mechanical Engineering 203
- Biomedical Engineering 192
Countries citing papers authored by Michał Kruk
This map shows the geographic impact of Michał Kruk'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 Kruk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Kruk more than expected).
Fields of papers citing papers by Michał Kruk
This network shows the impact of papers produced by Michał Kruk. 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 Kruk. The network helps show where Michał Kruk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michał Kruk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 5 | |
| 9 | 2019 | 15 | |
| 10 | 2019 | 13 | |
| 11 | 2019 | 20 | |
| 12 | 2018 | 4 | |
| 13 | 2018 | 23 | |
| 14 | 2017 | 17 | |
| 15 | Computer-assisted Fuhrman grading system for the analysis of clear-cell renal carcinoma: a pilot study | 2013 | 1 |
| 16 | 2013 | 3 | |
| 17 | Numerical characterization of the images of prostate cancer for recognition of Gleason scale | 2011 | 1 |
| 18 | Segmentacja i parametryzacja struktur histologicznych w obrazach mikroskopowych prostaty dla oceny skali Gleasona | 2010 | 1 |
| 19 | 2009 | 8 | |
| 20 | 1995 | 7 |
About Michał Kruk
Michał Kruk is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 50 papers that have together received 827 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (14 papers), AI in cancer detection (13 papers), Industrial Vision Systems and Defect Detection (10 papers), Advanced Machining and Optimization Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Digital Imaging for Blood Diseases (4 papers) and Mineral Processing and Grinding (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (96 citations), Inorganic Chemistry (109 citations) and Materials Chemistry (277 citations). Michał Kruk has collaborated with scholars based in Poland, United States and Tunisia. Frequent co-authors include Mietek Jaroniec, Jarosław Kurek, S. Osowski, Bartosz Świderski, Y. Bereznitski, J. Choma, Walid Barhoumi, James Olivier, J. Górski and Robert Koktysz. Their work appears in journals such as Expert Systems with Applications, Sensors, Forests, Bulletin of the Polish Academy of Sciences Technical Sciences and Surface Science.
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.