C. M. Pooley

1.3k total citations
33 papers, 867 citations indexed

About

C. M. Pooley is a scholar working on Computational Mechanics, Agronomy and Crop Science and Genetics. According to data from OpenAlex, C. M. Pooley has authored 33 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 8 papers in Agronomy and Crop Science and 6 papers in Genetics. Recurrent topics in C. M. Pooley's work include Lattice Boltzmann Simulation Studies (14 papers), Animal Disease Management and Epidemiology (8 papers) and Fluid Dynamics and Turbulent Flows (5 papers). C. M. Pooley is often cited by papers focused on Lattice Boltzmann Simulation Studies (14 papers), Animal Disease Management and Epidemiology (8 papers) and Fluid Dynamics and Turbulent Flows (5 papers). C. M. Pooley collaborates with scholars based in United Kingdom, United States and France. C. M. Pooley's co-authors include Julia M. Yeomans, Kalli Furtado, J. F. Ryder, Norio Kikuchi, Halim Kusumaatmaja, Glenn Marion, Anna C. Balazs, Alexander J. Wagner, David J. Earl and Irene Bredberg and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Bioinformatics.

In The Last Decade

C. M. Pooley

32 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. M. Pooley United Kingdom 15 423 225 200 149 147 33 867
Sebastian Aland Germany 19 544 1.3× 441 2.0× 84 0.4× 306 2.1× 100 0.7× 46 1.4k
Akio Nakahara Japan 16 202 0.5× 143 0.6× 99 0.5× 201 1.3× 107 0.7× 39 828
Hassan Masoud United States 19 362 0.9× 319 1.4× 387 1.9× 175 1.2× 173 1.2× 39 1.0k
Arvind Gopinath United States 16 189 0.4× 523 2.3× 477 2.4× 105 0.7× 64 0.4× 43 1.1k
Robert Dillon United States 18 461 1.1× 491 2.2× 453 2.3× 34 0.2× 141 1.0× 30 1.4k
Hirofumi Wada Japan 18 173 0.4× 307 1.4× 263 1.3× 138 0.9× 50 0.3× 48 969
Günther Grün Germany 21 1.3k 3.2× 149 0.7× 203 1.0× 892 6.0× 144 1.0× 38 1.7k
Shawn W. Walker United States 13 184 0.4× 239 1.1× 120 0.6× 60 0.4× 247 1.7× 41 640
Ranganathan Prabhakar Australia 15 88 0.2× 223 1.0× 85 0.4× 154 1.0× 59 0.4× 35 918
Duc Vinh Le Singapore 17 576 1.4× 144 0.6× 43 0.2× 21 0.1× 192 1.3× 39 907

Countries citing papers authored by C. M. Pooley

Since Specialization
Citations

This map shows the geographic impact of C. M. Pooley'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 C. M. Pooley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. M. Pooley more than expected).

Fields of papers citing papers by C. M. Pooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. M. Pooley. 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 C. M. Pooley. The network helps show where C. M. Pooley may publish in the future.

Co-authorship network of co-authors of C. M. Pooley

This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Pooley. A scholar is included among the top collaborators of C. M. Pooley 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 C. M. Pooley. C. M. Pooley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Delahay, Richard J., Glenn Marion, Eleftheria Palkopoulou, et al.. (2024). The utility of whole-genome sequencing to identify likely transmission pairs for pathogens with slow and variable evolution. Epidemics. 48. 100787–100787.
3.
Pooley, C. M., Andrea Doeschl‐Wilson, & Glenn Marion. (2022). Estimation of age-stratified contact rates during the COVID-19 pandemic using a novel inference algorithm. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2233). 20210298–20210298. 10 indexed citations
4.
Pooley, C. M., Glenn Marion, Stephen Bishop, & Andrea Doeschl‐Wilson. (2022). Optimal experimental designs for estimating genetic and non-genetic effects underlying infectious disease transmission. Genetics Selection Evolution. 54(1). 59–59. 4 indexed citations
5.
Pooley, C. M., Smaragda Tsairidou, Marta Saura, et al.. (2022). 169. Transmission experiment in turbot shows high genetic variation in host infectivity affecting disease spread and survival. 728–731. 3 indexed citations
6.
Pooley, C. M., Glenn Marion, Stephen Bishop, Richard I. Bailey, & Andrea Doeschl‐Wilson. (2020). Estimating individuals’ genetic and non-genetic effects underlying infectious disease transmission from temporal epidemic data. PLoS Computational Biology. 16(12). e1008447–e1008447. 14 indexed citations
7.
Chase‐Topping, Margo, Jiexiong Xie, C. M. Pooley, et al.. (2020). New insights about vaccine effectiveness: Impact of attenuated PRRS-strain vaccination on heterologous strain transmission. Vaccine. 38(14). 3050–3061. 21 indexed citations
8.
Pooley, C. M.. (2014). Estimation of single locus effects on susceptibility, infectivity and recovery rates in an epidemic using temporal data. 4 indexed citations
9.
Pooley, C. M., et al.. (2014). Investigating cataract referral practices used by Australian optometrists. Clinical and Experimental Optometry. 97(4). 356–363. 9 indexed citations
10.
Alexander, Gareth P., C. M. Pooley, & Julia M. Yeomans. (2009). Hydrodynamics of linked sphere model swimmers. Journal of Physics Condensed Matter. 21(20). 204108–204108. 34 indexed citations
11.
Pooley, C. M., Halim Kusumaatmaja, & Julia M. Yeomans. (2008). Contact line dynamics in binary lattice Boltzmann simulations. Physical Review E. 78(5). 56709–56709. 59 indexed citations
12.
Pooley, C. M. & Kalli Furtado. (2008). Eliminating spurious velocities in the free-energy lattice Boltzmann method. Physical Review E. 77(4). 46702–46702. 126 indexed citations
13.
Furtado, Kalli, C. M. Pooley, & Julia M. Yeomans. (2008). Lattice Boltzmann study of convective drop motion driven by nonlinear chemical kinetics. Physical Review E. 78(4). 46308–46308. 15 indexed citations
14.
Pooley, C. M. & Julia M. Yeomans. (2008). Lattice Boltzmann simulation techniques for simulating microscopic swimmers. Computer Physics Communications. 179(1-3). 159–164. 5 indexed citations
15.
Wagner, Alexander J. & C. M. Pooley. (2007). Interface width and bulk stability: Requirements for the simulation of deeply quenched liquid-gas systems. Physical Review E. 76(4). 45702–45702. 37 indexed citations
16.
Pooley, C. M. & Anna C. Balazs. (2007). Producing swimmers by coupling reaction-diffusion equations to a chemically responsive material. Physical Review E. 76(1). 16308–16308. 11 indexed citations
17.
Pooley, C. M., Anna C. Balazs, & Julia M. Yeomans. (2005). Pattern formation arising from condensation of a homogeneous gas into a binary, phase-separating liquid. Physical Review E. 72(2). 21505–21505. 2 indexed citations
18.
Pooley, C. M., Olga Kuksenok, & Anna C. Balazs. (2005). Convection-driven pattern formation in phase-separating binary fluids. Physical Review E. 71(3). 30501–30501. 10 indexed citations
19.
Pooley, C. M. & Julia M. Yeomans. (2004). Stripe Formation in Differentially Forced Binary Systems. Physical Review Letters. 93(11). 118001–118001. 19 indexed citations
20.
Verberg, Rolf, C. M. Pooley, Julia M. Yeomans, & Anna C. Balazs. (2004). Pattern Formation in Binary Fluids Confined between Rough, Chemically Heterogeneous Surfaces. Physical Review Letters. 93(18). 184501–184501. 28 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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