Marcin Bodych
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Cell Image Analysis Techniques
Papers in
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- COVID-19 epidemiological studies 2
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- SARS-CoV-2 and COVID-19 Research 1
- COVID-19 Clinical Research Studies 1
- Co-authors
- Tyll Krueger (2 shared papers)Krzysztof Gogolewski (1 shared paper)Magdalena Rosińska (1 shared paper)Anna Gambin (1 shared paper)Ewa Szczurek (1 shared paper)Thomas Czypionka (1 shared paper)Giulia Giordano (1 shared paper)Matjaž Perc (1 shared paper)
- Journals
- Europhysics Letters (EPL) (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)SHILAP Revista de lepidopterología (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- PolandUnited KingdomGermany
In The Last Decade
Marcin Bodych
3 papers receiving 55 citations
Peers
Comparison fields: 5 of 32
- Modeling and Simulation 26
- Biophysics 12
- Health 10
- Media Technology 7
- Infectious Diseases 14
Countries citing papers authored by Marcin Bodych
This map shows the geographic impact of Marcin Bodych'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 Marcin Bodych with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Bodych more than expected).
Fields of papers citing papers by Marcin Bodych
This network shows the impact of papers produced by Marcin Bodych. 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 Marcin Bodych. The network helps show where Marcin Bodych may publish in the future.
Co-authors
The 23 scholars most cited alongside Marcin Bodych, 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 | 2022 | 37 | |
| 2 | 2013 | 19 | |
| 3 | 2016 | 1 | |
| 4 | 2021 | 0 |
About Marcin Bodych
Marcin Bodych is a scholar working on Modeling and Simulation, Infectious Diseases, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 4 papers that have together received 57 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Complex Network Analysis Techniques (1 paper), Cell Image Analysis Techniques (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), COVID-19 Clinical Research Studies (1 paper), Medical Image Segmentation Techniques (1 paper) and Opinion Dynamics and Social Influence (1 paper). The work is most often cited by research in Modeling and Simulation (26 citations), Biophysics (12 citations), Health (10 citations), Media Technology (7 citations) and Infectious Diseases (14 citations). Marcin Bodych has collaborated with scholars based in Poland, United Kingdom and Germany. Frequent co-authors include Tyll Krueger, Krzysztof Gogolewski, Magdalena Rosińska, Anna Gambin, Ewa Szczurek, Thomas Czypionka, Giulia Giordano, Matjaž Perc, Elena Petelos and Sarah Cuschieri. Their work appears in journals such as Europhysics Letters (EPL), IEEE Journal of Biomedical and Health Informatics, SHILAP Revista de lepidopterología and Zenodo (CERN European Organization for Nuclear Research).
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.