Marek Kulbacki
Impact in
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- Microbial Inactivation Methods
Papers in
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- Human Pose and Action Recognition 3
- Medical Image Segmentation Techniques 2
- Video Surveillance and Tracking Methods 2
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- Microbial Inactivation Methods 5
- Co-authors
- Julita Kulbacka (7 shared papers)Jakub Segen (9 shared papers)Ryszard Klempous (9 shared papers)Jan Nikodem (4 shared papers)Małgorzata Kotulska (2 shared papers)Magda Dubińska–Magiera (2 shared papers)Anna Choromańska (4 shared papers)Nina Rembiałkowska (4 shared papers)
- Journals
- Bioelectrochemistry (2 papers)Sensors (2 papers)Advances in anatomy, embryology and cell biology (1 paper)Acta Polytechnica Hungarica (1 paper)PeerJ (1 paper)
- Partner nations
- PolandAustraliaUnited States
In The Last Decade
Marek Kulbacki
19 papers receiving 185 citations
Peers
Comparison fields: 5 of 84
- Biotechnology 38
- Health Informatics 3
- Computer Vision and Pattern Recognition 41
- Plant Science 40
- Computer Networks and Communications 19
Countries citing papers authored by Marek Kulbacki
This map shows the geographic impact of Marek Kulbacki'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 Marek Kulbacki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Kulbacki more than expected).
Fields of papers citing papers by Marek Kulbacki
This network shows the impact of papers produced by Marek Kulbacki. 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 Marek Kulbacki. The network helps show where Marek Kulbacki may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Kulbacki, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 76 | |
| 2 | 2014 | 29 | |
| 3 | 2016 | 17 | |
| 4 | 2017 | 14 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2004 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2005 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2025 | 0 |
About Marek Kulbacki
Marek Kulbacki is a scholar working on Computer Vision and Pattern Recognition, Biotechnology, Biomedical Engineering, Artificial Intelligence and Immunology, having authored 21 papers that have together received 192 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (5 papers), Microfluidic and Bio-sensing Technologies (3 papers), Human Pose and Action Recognition (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Medical Image Segmentation Techniques (2 papers), Ultrasound and Cavitation Phenomena (2 papers), Traditional Chinese Medicine Studies (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Biotechnology (38 citations), Health Informatics (3 citations), Computer Vision and Pattern Recognition (41 citations), Plant Science (40 citations) and Computer Networks and Communications (19 citations). Marek Kulbacki has collaborated with scholars based in Poland, Australia and United States. Frequent co-authors include Julita Kulbacka, Jakub Segen, Ryszard Klempous, Jan Nikodem, Małgorzata Kotulska, Magda Dubińska–Magiera, Anna Choromańska, Nina Rembiałkowska, Zenon Chaczko and Paweł Mielnik. Their work appears in journals such as Bioelectrochemistry, Sensors, Advances in anatomy, embryology and cell biology, Acta Polytechnica Hungarica and PeerJ.
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.