M. Biros
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Lung Cancer Diagnosis and Treatment 1
- Digital Radiography and Breast Imaging 1
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- Radiomics and Machine Learning in Medical Imaging 2
- COVID-19 diagnosis using AI 2
- Journals
- Diagnostics (2 papers)BioMedInformatics (1 paper)
- Partner nations
- CzechiaSouth Korea
In The Last Decade
M. Biros
3 papers receiving 12 citations
Peers
Comparison fields: 5 of 9
- Health Informatics 4
- Radiology, Nuclear Medicine and Imaging 6
- Critical Care and Intensive Care Medicine 1
- Artificial Intelligence 5
- Media Technology 1
Countries citing papers authored by M. Biros
This map shows the geographic impact of M. Biros'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 M. Biros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Biros more than expected).
Fields of papers citing papers by M. Biros
This network shows the impact of papers produced by M. Biros. 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 M. Biros. The network helps show where M. Biros may publish in the future.
Co-authors
The 2 scholars most cited alongside M. Biros, 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 | 2023 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2024 | 1 |
About M. Biros
M. Biros is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Health Informatics and Artificial Intelligence, having authored 3 papers that have together received 12 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), AI in cancer detection (1 paper), Global Cancer Incidence and Screening (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Digital Radiography and Breast Imaging (1 paper). The work is most often cited by research in Health Informatics (4 citations), Radiology, Nuclear Medicine and Imaging (6 citations), Critical Care and Intensive Care Medicine (1 citation), Artificial Intelligence (5 citations) and Media Technology (1 citation). M. Biros has collaborated with scholars based in Czechia and South Korea. Frequent co-authors include Mugahed A. Al–antari and Petra Ovesná. Their work appears in journals such as Diagnostics and BioMedInformatics.
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.