A. Kleczkowski

4.4k total citations
114 papers, 2.7k citations indexed

About

A. Kleczkowski is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, A. Kleczkowski has authored 114 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 32 papers in Ecology and 18 papers in Molecular Biology. Recurrent topics in A. Kleczkowski's work include Plant Virus Research Studies (26 papers), Bacteriophages and microbial interactions (16 papers) and COVID-19 epidemiological studies (16 papers). A. Kleczkowski is often cited by papers focused on Plant Virus Research Studies (26 papers), Bacteriophages and microbial interactions (16 papers) and COVID-19 epidemiological studies (16 papers). A. Kleczkowski collaborates with scholars based in United Kingdom, United States and Poland. A. Kleczkowski's co-authors include Christopher A. Gilligan, F. C. Bawden, Savi Maharaj, Bryan T. Grenfell, Benjamin M. Bolker, D. J. Bailey, Katherine J. Willis, Jonathan W. Pitchford, Bartłomiej Dybiec and Richard M. Twyman and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

A. Kleczkowski

110 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. Kleczkowski United Kingdom	31	1.0k	527	435	352	304	114	2.7k
John E. Banks United States	23	981 1.0×	493 0.9×	371 0.9×	131 0.4×	374 1.2×	76	2.8k
Louis J. Gross United States	27	492 0.5×	582 1.1×	233 0.5×	188 0.5×	235 0.8×	98	2.6k
Marco Archetti United Kingdom	26	523 0.5×	183 0.3×	580 1.3×	257 0.7×	809 2.7×	67	2.4k
N. T. J. Bailey Australia	16	238 0.2×	244 0.5×	314 0.7×	153 0.4×	247 0.8×	43	2.1k
Jonathan W. Pitchford United Kingdom	27	310 0.3×	745 1.4×	855 2.0×	127 0.4×	422 1.4×	60	2.8k
João A. N. Filipe United Kingdom	20	410 0.4×	354 0.7×	107 0.2×	134 0.4×	236 0.8×	55	1.7k
Hugh N. Comins Australia	14	300 0.3×	528 1.0×	275 0.6×	59 0.2×	722 2.4×	18	2.0k
Susanna C. Manrubia Spain	36	596 0.6×	442 0.8×	1.2k 2.7×	127 0.4×	1.5k 4.9×	131	4.1k
F. J. RICHARDS United Kingdom	6	831 0.8×	323 0.6×	320 0.7×	175 0.5×	360 1.2×	6	3.4k
Rebecca C. Tyson Canada	19	177 0.2×	194 0.4×	301 0.7×	421 1.2×	230 0.8×	64	1.7k

Countries citing papers authored by A. Kleczkowski

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of A. Kleczkowski

This figure shows the co-authorship network connecting the top 25 collaborators of A. Kleczkowski. A scholar is included among the top collaborators of A. Kleczkowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Kleczkowski. A. Kleczkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ayabina, Diepreye, et al.. (2025). A note on metapopulation models. Journal of Theoretical Biology. 613. 112213–112213.

Kleczkowski, A., et al.. (2023). Modelling norovirus dynamics within oysters emphasises potential food safety issues associated with current testing & depuration protocols. Food Microbiology. 116. 104363–104363. 3 indexed citations

Kleczkowski, A., et al.. (2021). Cross-sectional telephone surveys as a tool to study epidemiological factors and monitor seasonal influenza activity in Malta. BMC Public Health. 21(1). 1828–1828. 3 indexed citations

Kleczkowski, A., et al.. (2019). One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1775). 20180255–20180255. 23 indexed citations

Kleczkowski, A., et al.. (2018). A model for estimating pathogen variability in shellfish and predicting minimum depuration times. PLoS ONE. 13(3). e0193865–e0193865. 17 indexed citations

Kleczkowski, A., et al.. (2016). The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework. Environmental and Resource Economics. 70(3). 565–588. 21 indexed citations

Kleczkowski, A., et al.. (2015). Spontaneous social distancing in response to a simulated epidemic: a virtual experiment. BMC Public Health. 15(1). 973–973. 37 indexed citations

Oleś, K., Ewa Gudowska–Nowak, & A. Kleczkowski. (2013). Efficient Control of Epidemics Spreading on Networks: Balance between Treatment and Recovery. PLoS ONE. 8(6). e63813–e63813. 8 indexed citations

Delaney, Liam, A. Kleczkowski, Savi Maharaj, Susan Rasmussen, & Lynn Williams. (2013). Reflections on a virtual experiment addressing human behavior during epidemics. Summer Computer Simulation Conference. 33. 5 indexed citations

10.

Kleczkowski, A., et al.. (2012). Characterising Livestock System Zoonoses Hotspots. Stirling Online Research Repository (University of Stirling). 2 indexed citations

11.

Maharaj, Savi, et al.. (2011). A participatory simulation model for studying attitudes to infection risk. Summer Computer Simulation Conference. 8–13. 5 indexed citations

12.

Kleczkowski, A. & Savi Maharaj. (2010). Stay at home, wash your hands: epidemic dynamics with awareness of infection. Summer Computer Simulation Conference. 141–146. 6 indexed citations

13.

Fitter, Alastair, et al.. (2005). Biodiversity and ecosystem function in soil. Functional Ecology. 19(3). 369–377. 210 indexed citations

14.

Dybiec, Bartłomiej, A. Kleczkowski, & Christopher A. Gilligan. (2005). Optimising control of disease spread on networks. Acta Physica Polonica B. 36(5). 1509. 16 indexed citations

15.

Kleczkowski, A.. (2005). Population and Replicate Variability in an Exponential Growth Model. Acta Physica Polonica B. 36(5). 1623–1634. 3 indexed citations

16.

Bailey, D. J., A. Kleczkowski, & Christopher A. Gilligan. (2003). Epidemiological dynamics and the efficiency of biological control of soil‐borne disease during consecutive epidemics in a controlled environment. New Phytologist. 161(2). 569–575. 30 indexed citations

17.

Kleczkowski, A.. (1998). Statistical Properties of Dynamical Systems with Disturbances: Variation in Parameters. AcPPB. 29(6). 1717. 1 indexed citations

18.

Grenfell, Bryan T., A. Kleczkowski, Stephen P. Ellner, & Benjamin M. Bolker. (1994). Measles as a case study in nonlinear forecasting and chaos. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 348(1688). 515–530. 54 indexed citations

19.

Kleczkowski, A.. (1959). An electrophoretic study of the mechanism of precipitin reactions: variation in reversibility.. PubMed. 2(2). 97–103. 5 indexed citations

20.

Kleczkowski, A.. (1953). A Method for Testing Results of Infectivity Tests with Plant Viruses for Compatibility with Hypotheses. Journal of General Microbiology. 8(2). 295–301. 3 indexed citations

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.

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