Andrei Korobeinikov
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 24
- Mathematical Biology Tumor Growth 8
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- Mathematical and Theoretical Epidemiology and Ecology Models 50
- Genetics top 1%
- Evolution and Genetic Dynamics 36
- Virology top 5%
- HIV Research and Treatment 4
- Infectious Diseases top 10%
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- Bacteriophages and microbial interactions 4
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- Ecosystem dynamics and resilience 4
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- Plant Virus Research Studies 4
- Co-authors
- Philip K. MainiG.C. WakeEvgenii KhailovEllina GrigorievaMichael O’CallaghanThomas C. KellyD. OkuonghaeA. V. Pokrovskiĭ
- Journals
- SHILAP Revista de lepidopterología (2 papers)Ecological Economics (1 paper)Journal of Theoretical Biology (5 papers)
In The Last Decade
Andrei Korobeinikov
71 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 126
- Modeling and Simulation 1.7k
- Public Health, Environmental and Occupational Health 2.3k
- Genetics 1.5k
- Virology 116
- Infectious Diseases 227
Countries citing papers authored by Andrei Korobeinikov
This map shows the geographic impact of Andrei Korobeinikov'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 Andrei Korobeinikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Korobeinikov more than expected).
Fields of papers citing papers by Andrei Korobeinikov
This network shows the impact of papers produced by Andrei Korobeinikov. 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 Andrei Korobeinikov. The network helps show where Andrei Korobeinikov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrei Korobeinikov, 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 | Extended Abstracts Spring 2018 Singularly Perturbed Systems, Multiscale Phenomena and Hysteresis: Theory and Applications | 2019 | 1 |
| 2 | 2019 | 0 | |
| 3 | 2018 | 4 | |
| 4 | 2016 | 3 | |
| 5 | 2015 | 11 | |
| 6 | 2015 | 11 | |
| 7 | 2015 | 6 | |
| 8 | 2014 | 10 | |
| 9 | 2013 | 6 | |
| 10 | Three-dimensional nonlinear control model of wastewater biotreatment | 2012 | 6 |
| 11 | 2012 | 23 | |
| 12 | 2009 | 46 | |
| 13 | 2009 | 69 | |
| 14 | 2008 | 31 | |
| 15 | 2006 | 281 | |
| 16 | 2005 | 211 | |
| 17 | 2004 | 216 | |
| 18 | 2004 | 389 | |
| 19 | 2003 | 15 | |
| 20 | 2001 | 158 |
About Andrei Korobeinikov
Andrei Korobeinikov is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (50 papers), Evolution and Genetic Dynamics (36 papers), COVID-19 epidemiological studies (24 papers), Mathematical Biology Tumor Growth (8 papers), HIV Research and Treatment (4 papers), Bacteriophages and microbial interactions (4 papers), Ecosystem dynamics and resilience (4 papers) and Plant Virus Research Studies (4 papers). The work is most often cited by research in Modeling and Simulation (1.7k citations), Public Health, Environmental and Occupational Health (2.3k citations) and Genetics (1.5k citations). Andrei Korobeinikov has collaborated with scholars based in Spain, Ireland and Russia. Frequent co-authors include Philip K. Maini, G.C. Wake, Evgenii Khailov, Ellina Grigorieva, Michael O’Callaghan, Thomas C. Kelly, D. Okuonghae, A. V. Pokrovskiĭ, Suzanne M. O’Regan and Yasuhiro Takeuchi. Their work appears in journals such as SHILAP Revista de lepidopterología, Ecological Economics and Journal of Theoretical Biology.
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.