A. Kleczkowski
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 16
- Plant Science top 2%
- Plant Virus Research Studies 26
- Plant Disease Resistance and Genetics 11
- Plant Pathogens and Resistance 7
- Legume Nitrogen Fixing Symbiosis 7
- Ecology top 5%
- Bacteriophages and microbial interactions 16
- Insect Science top 2%
- Endocrinology top 5%
-
- Mathematical and Theoretical Epidemiology and Ecology Models 12
-
- Complex Network Analysis Techniques 7
- Co-authors
- Christopher A. GilliganF. C. BawdenSavi MaharajBryan T. GrenfellBenjamin M. BolkerD. J. BaileyKatherine J. WillisBartłomiej Dybiec
- Journals
- Photochemistry and Photobiology (10 papers)Virology (7 papers)Proceedings of the Royal Society B Biological Sciences (4 papers)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
A. Kleczkowski
110 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 170
- Modeling and Simulation 352
- Plant Science 1.0k
- Ecology 527
- Insect Science 252
- Endocrinology 93
Countries citing papers authored by A. Kleczkowski
This map shows the geographic impact of A. Kleczkowski'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 A. Kleczkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Kleczkowski more than expected).
Fields of papers citing papers by A. Kleczkowski
This network shows the impact of papers produced by A. Kleczkowski. 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 A. Kleczkowski. The network helps show where A. Kleczkowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. Kleczkowski, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 3 | |
| 5 | 2019 | 23 | |
| 6 | 2018 | 17 | |
| 7 | 2016 | 14 | |
| 8 | 2014 | 7 | |
| 9 | 2013 | 8 | |
| 10 | 2013 | 5 | |
| 11 | 2012 | 133 | |
| 12 | 2011 | 5 | |
| 13 | 2010 | 6 | |
| 14 | 2005 | 210 | |
| 15 | Optimising control of disease spread on networks | 2005 | 16 |
| 16 | Population and Replicate Variability in an Exponential Growth Model | 2005 | 3 |
| 17 | 2005 | 19 | |
| 18 | 2003 | 30 | |
| 19 | Statistical Properties of Dynamical Systems with Disturbances: Variation in Parameters | 1998 | 1 |
| 20 | 1994 | 54 |
About A. Kleczkowski
A. Kleczkowski is a scholar working on Modeling and Simulation, Ecology and Plant Science, having authored 114 papers that have together received 2.7k indexed citations. Recurring topics across this work include Plant Virus Research Studies (26 papers), Bacteriophages and microbial interactions (16 papers), COVID-19 epidemiological studies (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Plant Disease Resistance and Genetics (11 papers), Plant Pathogens and Resistance (7 papers), Complex Network Analysis Techniques (7 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). The work is most often cited by research in Modeling and Simulation (352 citations), Plant Science (1.0k citations) and Ecology (527 citations). A. Kleczkowski has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Christopher A. Gilligan, F. C. Bawden, Savi Maharaj, Bryan T. Grenfell, Benjamin M. Bolker, D. J. Bailey, Katherine J. Willis, Bartłomiej Dybiec, Jonathan W. Pitchford and Richard M. Twyman. Their work appears in journals such as Photochemistry and Photobiology, Virology, Proceedings of the Royal Society B Biological Sciences, Nature and Ecological Modelling.
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.