Nicholas Geard

1.5k total citations
87 papers, 884 citations indexed

About

Nicholas Geard is a scholar working on Modeling and Simulation, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Nicholas Geard has authored 87 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Modeling and Simulation, 21 papers in Infectious Diseases and 17 papers in Molecular Biology. Recurrent topics in Nicholas Geard's work include COVID-19 epidemiological studies (23 papers), Evolutionary Game Theory and Cooperation (13 papers) and Gene Regulatory Network Analysis (11 papers). Nicholas Geard is often cited by papers focused on COVID-19 epidemiological studies (23 papers), Evolutionary Game Theory and Cooperation (13 papers) and Gene Regulatory Network Analysis (11 papers). Nicholas Geard collaborates with scholars based in Australia, United Kingdom and United States. Nicholas Geard's co-authors include Jodie McVernon, Janet Wiles, James M. McCaw, Patricia T. Campbell, Seth Bullock, Alan Dorin, Kevin B. Korb, Emma S. McBryde, Kathryn Glass and Steven Y. C. Tong and has published in prestigious journals such as Bioinformatics, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Nicholas Geard

81 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Geard Australia 17 195 178 172 153 121 87 884
Antoine Allard Canada 19 409 2.1× 146 0.8× 90 0.5× 152 1.0× 213 1.8× 64 1.5k
Corinne Régis France 11 378 1.9× 144 0.8× 347 2.0× 80 0.5× 58 0.5× 32 1.4k
Lee Worden United States 16 116 0.6× 227 1.3× 176 1.0× 100 0.7× 74 0.6× 41 722
Luis E. C. Rocha Belgium 18 149 0.8× 94 0.5× 103 0.6× 128 0.8× 64 0.5× 60 1.7k
Jude Dzevela Kong Canada 18 313 1.6× 216 1.2× 278 1.6× 216 1.4× 176 1.5× 140 1.3k
Willem G. van Panhuis United States 21 218 1.1× 282 1.6× 279 1.6× 65 0.4× 329 2.7× 35 1.3k
Matthew Scotch United States 24 178 0.9× 359 2.0× 539 3.1× 322 2.1× 244 2.0× 103 1.8k
Daniel J. Laydon United Kingdom 18 372 1.9× 337 1.9× 115 0.7× 123 0.8× 241 2.0× 34 1.4k
Laurent Hébert‐Dufresne United States 21 615 3.2× 225 1.3× 150 0.9× 80 0.5× 302 2.5× 87 1.7k
Oliver Ratmann United Kingdom 21 165 0.8× 484 2.7× 333 1.9× 178 1.2× 130 1.1× 55 1.5k

Countries citing papers authored by Nicholas Geard

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Geard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas Geard. 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 Nicholas Geard. The network helps show where Nicholas Geard may publish in the future.

Co-authorship network of co-authors of Nicholas Geard

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Geard. A scholar is included among the top collaborators of Nicholas Geard 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 Nicholas Geard. Nicholas Geard 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.
Geard, Nicholas, et al.. (2025). Realistic mobility integration in agent-based model for targeted public health strategies. Chaos Solitons & Fractals. 199. 116725–116725.
2.
Zachreson, Cameron, et al.. (2024). A model-based assessment of social isolation practices for COVID-19 outbreak response in residential care facilities. BMC Infectious Diseases. 24(1). 880–880.
3.
Capurro, Daniel, et al.. (2024). Modelling patient trajectories in emergency department simulations using retrospective patient cohorts. Computers in Biology and Medicine. 182. 109147–109147.
4.
Zachreson, Cameron, Freya M. Shearer, David J. Price, et al.. (2022). COVID-19 in low-tolerance border quarantine systems: Impact of the Delta variant of SARS-CoV-2. Science Advances. 8(14). eabm3624–eabm3624. 16 indexed citations
5.
Shearer, Freya M., James R. Walker, James M. McCaw, et al.. (2022). Rapid assessment of the risk of SARS-CoV-2 importation: case study and lessons learned. Epidemics. 38. 100549–100549. 5 indexed citations
6.
Campbell, Patricia T., Rebecca H. Chisholm, Melita McKinnon, et al.. (2022). Capturing Household Structure and Mobility within and between Remote Aboriginal Communities in Northern Australia Using Longitudinal Data: A Pilot Study. International Journal of Environmental Research and Public Health. 19(19). 12002–12002. 2 indexed citations
7.
Garrett, Paul Michael, Joshua P. White, Stephan Lewandowsky, et al.. (2021). The acceptability and uptake of smartphone tracking for COVID-19 in Australia. PLoS ONE. 16(1). e0244827–e0244827. 58 indexed citations
8.
Chisholm, Rebecca H., Jake A. Lacey, Malcolm McDonald, et al.. (2020). Epidemiological consequences of enduring strain-specific immunity requiring repeated episodes of infection. PLoS Computational Biology. 16(6). e1007182–e1007182. 5 indexed citations
9.
Chisholm, Rebecca H., Patricia T. Campbell, Yue Wu, et al.. (2018). Implications of asymptomatic carriers for infectious disease transmission and control. Royal Society Open Science. 5(2). 172341–172341. 52 indexed citations
10.
Campbell, Patricia T., et al.. (2017). Who’s holding the baby? A prospective diary study of the contact patterns of mothers with an infant. BMC Infectious Diseases. 17(1). 634–634. 6 indexed citations
11.
Glass, Kathryn, et al.. (2017). A Synthetic Population for Modelling the Dynamics of Infectious Disease Transmission in American Samoa. Scientific Reports. 7(1). 16725–16725. 25 indexed citations
12.
Silverman, Eric, Nicholas Geard, & Ian Wood. (2016). Job Insecurity in Academic Research Employment: An Agent-Based Model. 460–467. 2 indexed citations
13.
Campbell, Patricia T., Jodie McVernon, Peter McIntyre, & Nicholas Geard. (2016). Influence of Population Demography and Immunization History on the Impact of an Antenatal Pertussis Program. Clinical Infectious Diseases. 63(suppl 4). S213–S220. 6 indexed citations
14.
Geard, Nicholas, Kathryn Glass, James M. McCaw, et al.. (2015). The effects of demographic change on disease transmission and vaccine impact in a household structured population. Epidemics. 13. 56–64. 47 indexed citations
15.
Bryden, John, Sebastian Funk, Nicholas Geard, Seth Bullock, & Vincent A. A. Jansen. (2010). Stability in flux: community structure in dynamic networks. Journal of The Royal Society Interface. 8(60). 1031–1040. 28 indexed citations
16.
Geard, Nicholas & Seth Bullock. (2008). Group formation and social evolution: a computational model. Artificial Life. 197–203. 6 indexed citations
17.
Geard, Nicholas, et al.. (2005). An individual based model examining the emergence of cooperative recognition in a social insect (Isoptera: Rhinotermitidae). Sociobiology. 46(2). 349–361. 2 indexed citations
18.
Geard, Nicholas, et al.. (2005). Perturbation Analysis: A Complex Systems Pattern. ePrints Soton (University of Southampton). 3. 69–84. 4 indexed citations
19.
Rudge, Timothy J. & Nicholas Geard. (2005). Evolving Gene Regulatory Networks for Cellular Morphogenesis. ePrints Soton (University of Southampton). 3. 239–525. 3 indexed citations
20.
Geard, Nicholas & Janet Wiles. (2003). A gene regulatory network for cell differentiation in caenorhabditis elegans. ePrints Soton (University of Southampton). 1. 86–100. 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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