William J. M. Probert

1.5k total citations
33 papers, 642 citations indexed

About

William J. M. Probert is a scholar working on Modeling and Simulation, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, William J. M. Probert has authored 33 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 9 papers in Infectious Diseases and 7 papers in Economics and Econometrics. Recurrent topics in William J. M. Probert's work include COVID-19 epidemiological studies (15 papers), Animal Disease Management and Epidemiology (6 papers) and Economic and Environmental Valuation (4 papers). William J. M. Probert is often cited by papers focused on COVID-19 epidemiological studies (15 papers), Animal Disease Management and Epidemiology (6 papers) and Economic and Environmental Valuation (4 papers). William J. M. Probert collaborates with scholars based in United Kingdom, United States and Australia. William J. M. Probert's co-authors include Michael C. Runge, Hugh P. Possingham, Katriona Shea, Michael J. Tildesley, Matthew J. Ferrari, Christopher Fonnesbeck, Richard F. Maloney, Ayesha Tulloch, Joseph Bennett and Liana N. Joseph and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

William J. M. Probert

31 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William J. M. Probert United Kingdom	14	187	139	129	118	113	33	642
Michael Springborn United States	19	585 3.1×	174 1.3×	221 1.7×	384 3.3×	103 0.9×	43	1.6k
Ephraim M. Hanks United States	20	59 0.3×	209 1.5×	145 1.1×	491 4.2×	210 1.9×	46	1.1k
Julie C. Blackwood United States	13	189 1.0×	66 0.5×	123 1.0×	204 1.7×	22 0.2×	31	770
Jamie M. Caldwell United States	18	234 1.3×	48 0.3×	160 1.2×	352 3.0×	89 0.8×	33	1.5k
Rory Gibb United Kingdom	17	134 0.7×	73 0.5×	131 1.0×	622 5.3×	187 1.7×	25	1.7k
Bret D. Elderd United States	20	54 0.3×	272 2.0×	159 1.2×	374 3.2×	101 0.9×	41	1.1k
Luca Carraro Switzerland	20	604 3.2×	211 1.5×	125 1.0×	629 5.3×	110 1.0×	50	1.8k
Guofa Zhou United States	21	109 0.6×	69 0.5×	53 0.4×	133 1.1×	46 0.4×	42	1.3k
Audrey Lustig New Zealand	16	186 1.0×	55 0.4×	95 0.7×	119 1.0×	48 0.4×	34	570
Rachelle N. Binny New Zealand	17	204 1.1×	75 0.5×	59 0.5×	162 1.4×	38 0.3×	44	605

Countries citing papers authored by William J. M. Probert

Since Specialization

Citations

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

Fields of papers citing papers by William J. M. Probert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. M. Probert. 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 William J. M. Probert. The network helps show where William J. M. Probert may publish in the future.

Co-authorship network of co-authors of William J. M. Probert

This figure shows the co-authorship network connecting the top 25 collaborators of William J. M. Probert. A scholar is included among the top collaborators of William J. M. Probert 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 William J. M. Probert. William J. M. Probert 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

Lauro, Francesco Di, William J. M. Probert, Michael Pickles, et al.. (2025). Large connected components in sexual networks and their role in HIV transmission in Sub-Saharan Africa: A model-based analysis of HPTN 071(PopART) data. Journal of Theoretical Biology. 613. 112218–112218.

Howerton, Emily, et al.. (2024). When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting. Epidemics. 47. 100767–100767. 1 indexed citations

Howerton, Emily, Michael C. Runge, Tiffany L. Bogich, et al.. (2023). Context-dependent representation of within- and between-model uncertainty: aggregating probabilistic predictions in infectious disease epidemiology. Journal of The Royal Society Interface. 20(198). 20220659–20220659. 11 indexed citations

Davis, Katherine, Michael Pickles, Simon Gregson, et al.. (2023). The effect of universal testing and treatment for HIV on health-related quality of life – An analysis of data from the HPTN 071 (PopART) cluster randomised trial. SSM - Population Health. 23. 101473–101473. 1 indexed citations

Bellizzi, Saverio, William J. M. Probert, Penelope A. Hancock, et al.. (2023). Participatory Mathematical Modeling Approach for Policymaking during the First Year of the COVID-19 Crisis, Jordan. Emerging infectious diseases. 29(9). 1738–1746. 1 indexed citations

Hinch, Robert, Jasmina Panovska‐Griffiths, William J. M. Probert, et al.. (2022). Estimating SARS-CoV-2 variant fitness and the impact of interventions in England using statistical and geo-spatial agent-based models. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2233). 20210304–20210304. 9 indexed citations

Probert, William J. M., Sam Nicol, Matthew J. Ferrari, et al.. (2022). Vote-processing rules for combining control recommendations from multiple models. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2233). 20210314–20210314. 5 indexed citations

Howerton, Emily, Matthew J. Ferrari, Ottar N. Bjørnstad, et al.. (2021). Synergistic interventions to control COVID-19: Mass testing and isolation mitigates reliance on distancing. PLoS Computational Biology. 17(10). e1009518–e1009518. 8 indexed citations

Pickles, Michael, Anne Cori, William J. M. Probert, et al.. (2021). PopART-IBM, a highly efficient stochastic individual-based simulation model of generalised HIV epidemics developed in the context of the HPTN 071 (PopART) trial. PLoS Computational Biology. 17(9). e1009301–e1009301. 5 indexed citations

10.

Hinch, Robert, Neo Wu, Luyang Liu, et al.. (2021). Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state. npj Digital Medicine. 4(1). 49–49. 63 indexed citations

11.

Nichols, James D., Tiffany L. Bogich, Emily Howerton, et al.. (2021). Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making. PLoS Biology. 19(6). e3001307–e3001307. 11 indexed citations

12.

Tao, Yun, William J. M. Probert, Katriona Shea, et al.. (2021). Causes of delayed outbreak responses and their impacts on epidemic spread. Journal of The Royal Society Interface. 18(176). 20200933–20200933. 7 indexed citations

13.

Jewell, Chris, Michael C. Runge, Matthew J. Ferrari, et al.. (2020). Anticipating future learning affects current control decisions: A comparison between passive and active adaptive management in an epidemiological setting. Journal of Theoretical Biology. 506. 110380–110380. 7 indexed citations

14.

Probert, William J. M., Chris Jewell, Marleen Werkman, et al.. (2018). Real-time decision-making during emergency disease outbreaks. PLoS Computational Biology. 14(7). e1006202–e1006202. 51 indexed citations

15.

Brazill‐Boast, James, Bronwyn Cumbo, Ian Shannon, et al.. (2018). A large-scale application of project prioritization to threatened species investment by a government agency. PLoS ONE. 13(8). e0201413–e0201413. 36 indexed citations

16.

Li, Shou‐Li, Ottar N. Bjørnstad, Matthew J. Ferrari, et al.. (2017). Essential information: Uncertainty and optimal control of Ebola outbreaks. Proceedings of the National Academy of Sciences. 114(22). 5659–5664. 34 indexed citations

17.

Bradbury, Naomi, William J. M. Probert, Katriona Shea, et al.. (2017). Quantifying the Value of Perfect Information in Emergency Vaccination Campaigns. PLoS Computational Biology. 13(2). e1005318–e1005318. 13 indexed citations

18.

Probert, William J. M., Katriona Shea, Christopher Fonnesbeck, et al.. (2015). Decision-making for foot-and-mouth disease control: Objectives matter. Epidemics. 15. 10–19. 59 indexed citations

19.

Fonzo, Martina M. I. Di, Hugh P. Possingham, William J. M. Probert, et al.. (2015). Evaluating Trade-Offs between Target Persistence Levels and Numbers of Species Conserved. Conservation Letters. 9(1). 51–57. 18 indexed citations

20.

McDonald‐Madden, Eve, William J. M. Probert, Cindy E. Hauser, et al.. (2010). Active adaptive conservation of threatened species in the face of uncertainty. Ecological Applications. 20(5). 1476–1489. 74 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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