Joe Hilton

499 total citations
6 papers, 162 citations indexed

About

Joe Hilton is a scholar working on Modeling and Simulation, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Joe Hilton has authored 6 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 3 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Joe Hilton's work include COVID-19 epidemiological studies (5 papers), Climate change impacts on agriculture (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). Joe Hilton is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Climate change impacts on agriculture (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). Joe Hilton collaborates with scholars based in United Kingdom, Kenya and United States. Joe Hilton's co-authors include Matt J. Keeling, Samuel P. C. Brand, D. James Nokes, Paula Blomquist, Thomas House, Massimo Cavallaro, Charlie Turner, Isaac Florence, Ian Hall and Andrea Parisi and has published in prestigious journals such as Nature Communications, PLoS Computational Biology and Journal of The Royal Society Interface.

In The Last Decade

Joe Hilton

6 papers receiving 159 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joe Hilton United Kingdom	5	89	51	45	45	39	6	162
Christiaan H. van Dorp United States	7	109 1.2×	148 2.9×	54 1.2×	29 0.6×	28 0.7×	15	254
Melanie H. Chitwood United States	7	83 0.9×	90 1.8×	48 1.1×	13 0.3×	17 0.4×	18	159
Christian Selinger France	9	64 0.7×	91 1.8×	60 1.3×	15 0.3×	52 1.3×	20	242
Cassandre Von Platen France	8	94 1.1×	127 2.5×	39 0.9×	46 1.0×	42 1.1×	14	272
Hanan Hasan Jordan	6	39 0.4×	113 2.2×	86 1.9×	56 1.2×	61 1.6×	22	311
Tanner J. Varrelman United States	6	70 0.8×	161 3.2×	64 1.4×	9 0.2×	19 0.5×	10	241
Shoya Iwanami Japan	10	132 1.5×	258 5.1×	47 1.0×	18 0.4×	39 1.0×	23	351
Yuyang Tian China	5	49 0.6×	124 2.4×	33 0.7×	7 0.2×	48 1.2×	6	199
Zihao Guo Hong Kong	10	136 1.5×	160 3.1×	69 1.5×	8 0.2×	16 0.4×	41	298
Mun-Keat Looi Canada	9	28 0.3×	104 2.0×	30 0.7×	8 0.2×	32 0.8×	64	278

Countries citing papers authored by Joe Hilton

Since Specialization

Citations

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

Fields of papers citing papers by Joe Hilton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Hilton

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Hilton, Joe & Ian Hall. (2024). A beta-Poisson model for infectious disease transmission. PLoS Computational Biology. 20(2). e1011856–e1011856. 1 indexed citations

2.

Brand, Samuel P. C., Massimo Cavallaro, Charlie Turner, et al.. (2023). The role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom. Nature Communications. 14(1). 4100–4100. 52 indexed citations

3.

Hilton, Joe, Lorenzo Pellis, Samuel P. C. Brand, et al.. (2022). A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic. PLoS Computational Biology. 18(9). e1010390–e1010390. 5 indexed citations

4.

Parisi, Andrea, et al.. (2021). Spatially resolved simulations of the spread of COVID-19 in three European countries. PLoS Computational Biology. 17(7). e1009090–e1009090. 6 indexed citations

5.

Hilton, Joe & Matt J. Keeling. (2020). Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices. PLoS Computational Biology. 16(7). e1008031–e1008031. 80 indexed citations

6.

Hilton, Joe & Matt J. Keeling. (2019). Incorporating household structure and demography into models of endemic disease. Journal of The Royal Society Interface. 16(157). 20190317–20190317. 18 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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