Frederic Grabowski
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral Infections and Outbreaks Research
Papers in
-
- SARS-CoV-2 detection and testing 2
- SARS-CoV-2 and COVID-19 Research 2
-
- COVID-19 epidemiological studies 3
- Mathematical Biology Tumor Growth 1
- Co-authors
- Tomasz Lipniacki (8 shared papers)Marek Kochańczyk (7 shared papers)Krzysztof A. Meissner (1 shared paper)Maciej Czerkies (1 shared paper)Zbigniew Korwek (1 shared paper)
- Journals
- Viruses (2 papers)PLoS Computational Biology (1 paper)Journal of The Royal Society Interface (1 paper)PLoS Pathogens (1 paper)Physical review. D (1 paper)
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Frederic Grabowski
9 papers receiving 227 citations
Peers
Comparison fields: 5 of 62
- Modeling and Simulation 84
- Infectious Diseases 130
- Public Health, Environmental and Occupational Health 33
- Animal Science and Zoology 12
- Nuclear and High Energy Physics 15
Countries citing papers authored by Frederic Grabowski
This map shows the geographic impact of Frederic Grabowski'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 Frederic Grabowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederic Grabowski more than expected).
Fields of papers citing papers by Frederic Grabowski
This network shows the impact of papers produced by Frederic Grabowski. 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 Frederic Grabowski. The network helps show where Frederic Grabowski may publish in the future.
Co-authors
The 5 scholars most cited alongside Frederic Grabowski, 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 | 2021 | 68 | |
| 2 | 2022 | 62 | |
| 3 | 2020 | 38 | |
| 4 | 2020 | 32 | |
| 5 | 2019 | 16 | |
| 6 | 2019 | 9 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2025 | 1 |
About Frederic Grabowski
Frederic Grabowski is a scholar working on Infectious Diseases, Modeling and Simulation, Molecular Biology, Economics and Econometrics and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 232 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), SARS-CoV-2 detection and testing (2 papers), Gene Regulatory Network Analysis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Mathematical Biology Tumor Growth (1 paper), Particle physics theoretical and experimental studies (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Modeling and Simulation (84 citations), Infectious Diseases (130 citations), Public Health, Environmental and Occupational Health (33 citations), Animal Science and Zoology (12 citations) and Nuclear and High Energy Physics (15 citations). Frederic Grabowski has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Tomasz Lipniacki, Marek Kochańczyk, Krzysztof A. Meissner, Maciej Czerkies and Zbigniew Korwek. Their work appears in journals such as Viruses, PLoS Computational Biology, Journal of The Royal Society Interface, PLoS Pathogens and Physical review. D.
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.