Marta Borowska
Impact in
- Equine top 5%
- Veterinary Equine Medical Research
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- Radiomics and Machine Learning in Medical Imaging
- Infrared Thermography in Medicine
Papers in
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- Infrared Thermography in Medicine 6
- Radiomics and Machine Learning in Medical Imaging 6
- Equine 9
- Veterinary Equine Medical Research 9
- Co-authors
- Edward Oczeretko (15 shared papers)Małgorzata Domino (22 shared papers)Romuald Mosdorf (2 shared papers)Tomasz Jasiński (15 shared papers)Agnieszka Kitlas Golińska (6 shared papers)Piotr Szumowski (1 shared paper)T Laudański (5 shared papers)Paweł Kuć (2 shared papers)
In The Last Decade
Marta Borowska
47 papers receiving 554 citations
Peers
Comparison fields: 5 of 117
- Equine 40
- Radiology, Nuclear Medicine and Imaging 108
- Cognitive Neuroscience 78
- Health Informatics 5
- Oral Surgery 23
Countries citing papers authored by Marta Borowska
This map shows the geographic impact of Marta Borowska'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 Marta Borowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Borowska more than expected).
Fields of papers citing papers by Marta Borowska
This network shows the impact of papers produced by Marta Borowska. 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 Marta Borowska. The network helps show where Marta Borowska may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Borowska, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 89 | |
| 2 | 2021 | 61 | |
| 3 | 2018 | 38 | |
| 4 | 2023 | 37 | |
| 5 | 2021 | 33 | |
| 6 | 2013 | 33 | |
| 7 | 2015 | 32 | |
| 8 | 2017 | 22 | |
| 9 | 2015 | 21 | |
| 10 | 2021 | 17 | |
| 11 | 2022 | 13 | |
| 12 | 2008 | 13 | |
| 13 | 2007 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2009 | 9 | |
| 19 | The importance of land use type in Fallopia (Reynoutria) japonica invasion in the urban environment | 2013 | 8 |
| 20 | 2021 | 8 |
About Marta Borowska
Marta Borowska is a scholar working on Radiology, Nuclear Medicine and Imaging, Equine, Biomedical Engineering, Animal Science and Zoology and Cognitive Neuroscience, having authored 50 papers that have together received 563 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (9 papers), Effects of Environmental Stressors on Livestock (7 papers), Infrared Thermography in Medicine (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Dental Radiography and Imaging (5 papers), Advanced X-ray and CT Imaging (4 papers), Preterm Birth and Chorioamnionitis (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Equine (40 citations), Radiology, Nuclear Medicine and Imaging (108 citations), Cognitive Neuroscience (78 citations), Health Informatics (5 citations) and Oral Surgery (23 citations). Marta Borowska has collaborated with scholars based in Poland, Australia and Lithuania. Frequent co-authors include Edward Oczeretko, Małgorzata Domino, Romuald Mosdorf, Tomasz Jasiński, Agnieszka Kitlas Golińska, Piotr Szumowski, T Laudański, Paweł Kuć, Piotr Laudański and Luís Echegoyen. Their work appears in journals such as Sensors, Applied Sciences, Animals, BMC Veterinary Research and Journal of Clinical Medicine.
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.