Jonathan Wakefield

2.5k total citations
55 papers, 1.7k citations indexed

About

Jonathan Wakefield is a scholar working on Statistics and Probability, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Jonathan Wakefield has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 14 papers in Economics and Econometrics and 10 papers in Epidemiology. Recurrent topics in Jonathan Wakefield's work include Statistical Methods and Bayesian Inference (12 papers), Spatial and Panel Data Analysis (10 papers) and Air Quality and Health Impacts (9 papers). Jonathan Wakefield is often cited by papers focused on Statistical Methods and Bayesian Inference (12 papers), Spatial and Panel Data Analysis (10 papers) and Air Quality and Health Impacts (9 papers). Jonathan Wakefield collaborates with scholars based in United States, United Kingdom and Uganda. Jonathan Wakefield's co-authors include Ruth Salway, Julia E. Kelsall, R.C. Newman, Paul Elliott, Sebastien Haneuse, Hil Lyons, Nicky Best, Robert E. Kass, Donna K. Pauler and Lars Järup and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jonathan Wakefield

51 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Wakefield United States 19 368 365 346 266 191 55 1.7k
Ikuho Yamada Japan 19 260 0.7× 238 0.7× 64 0.2× 280 1.1× 145 0.8× 109 1.9k
Maŕıa Durbán Spain 21 377 1.0× 101 0.3× 399 1.2× 58 0.2× 220 1.2× 55 1.7k
Maya Petersen United States 28 262 0.7× 184 0.5× 410 1.2× 639 2.4× 121 0.6× 75 2.7k
Christian Heumann Germany 23 95 0.3× 138 0.4× 315 0.9× 129 0.5× 40 0.2× 126 2.1k
Antonio López‐Quílez Spain 26 198 0.5× 110 0.3× 114 0.3× 297 1.1× 274 1.4× 105 2.2k
Michael Joffe United Kingdom 34 180 0.5× 594 1.6× 50 0.1× 150 0.6× 96 0.5× 82 4.3k
Jing‐Shiang Hwang Taiwan 22 182 0.5× 416 1.1× 59 0.2× 270 1.0× 36 0.2× 100 1.6k
Md. Moyazzem Hossain Bangladesh 22 147 0.4× 74 0.2× 117 0.3× 218 0.8× 87 0.5× 165 1.9k
Michael Schomaker South Africa 25 280 0.8× 58 0.2× 312 0.9× 697 2.6× 79 0.4× 76 2.5k
Paula Moraga Saudi Arabia 20 217 0.6× 133 0.4× 91 0.3× 256 1.0× 75 0.4× 59 1.4k

Countries citing papers authored by Jonathan Wakefield

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Wakefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Wakefield

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Wakefield. A scholar is included among the top collaborators of Jonathan Wakefield 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 Jonathan Wakefield. Jonathan Wakefield 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.
Smith, Theresa, et al.. (2024). Estimating subnational under-five mortality rates using a spatio-temporal Age-Period-Cohort model. Spatial and Spatio-temporal Epidemiology. 52. 100708–100708. 2 indexed citations
2.
Hsiao, Yuan, et al.. (2023). Modeling the Bias of Digital Data: An Approach to Combining Digital With Official Statistics to Estimate and Predict Migration Trends. Sociological Methods & Research. 53(4). 1905–1943. 6 indexed citations
3.
Fullman, Nancy, Hannah H. Leslie, Moussa Sarr, et al.. (2023). A small area model to assess temporal trends and sub-national disparities in healthcare quality. Nature Communications. 14(1). 4555–4555. 2 indexed citations
4.
Meisner, Julianne, Erick Mwamba Miaka, Jonathan Wakefield, et al.. (2023). Livestock, pathogens, vectors, and their environment: A causal inference-based approach to estimating the pathway-specific effect of livestock on human African trypanosomiasis risk. SHILAP Revista de lepidopterología. 3(11). e0002543–e0002543.
5.
Wakefield, Jonathan, et al.. (2023). A Spatial Variance‐Smoothing Area Level Model for Small Area Estimation of Demographic Rates. International Statistical Review. 91(3). 493–510. 2 indexed citations
6.
Meisner, Julianne, Erick Mwamba Miaka, Jonathan Wakefield, et al.. (2022). The effect of livestock density on Trypanosoma brucei gambiense and T. b. rhodesiense: A causal inference-based approach. PLoS neglected tropical diseases. 16(8). e0010155–e0010155. 7 indexed citations
7.
Meisner, Julianne, Erick Mwamba Miaka, Jonathan Wakefield, et al.. (2022). A time-series approach to mapping livestock density using household survey data. Scientific Reports. 12(1). 13310–13310. 8 indexed citations
8.
Turner, Abigail Norris, David Kline, Alison H. Norris, et al.. (2021). Prevalence of current and past COVID-19 in Ohio adults. Annals of Epidemiology. 67. 50–60. 6 indexed citations
9.
Clark, Samuel J., Jonathan Wakefield, Tyler H. McCormick, & Michelle Ross. (2018). Hyak mortality monitoring system: innovative sampling and estimation methods – proof of concept by simulation. 3. 6 indexed citations
10.
Akullian, Adam, Eric Ng’eno, Alastair Matheson, et al.. (2015). Environmental Transmission of Typhoid Fever in an Urban Slum. PLoS neglected tropical diseases. 9(12). e0004212–e0004212. 58 indexed citations
11.
Wakefield, Jonathan & Moon Keun Kim. (2013). A Bayesian model for cluster detection. Biostatistics. 14(4). 752–765. 40 indexed citations
12.
Shaddick, Gavin, Duncan Lee, & Jonathan Wakefield. (2012). Ecological bias in studies of the short-term effects of air pollution on health. International Journal of Applied Earth Observation and Geoinformation. 22. 65–74. 8 indexed citations
13.
Wakefield, Jonathan, et al.. (2006). Hierarchical Models for Combining Ecological and Case–Control Data. Biometrics. 63(1). 128–136. 30 indexed citations
14.
Haneuse, Sebastien, et al.. (2005). An investigation of the association between traffic exposure and the diagnosis of asthma in children. Journal of Exposure Science & Environmental Epidemiology. 16(1). 49–55. 82 indexed citations
15.
Wakefield, Jonathan. (2005). Health-exposure modeling and the ecological fallacy. Biostatistics. 7(3). 438–455. 71 indexed citations
16.
King, Gary, Jonathan Wakefield, David Steel, et al.. (2004). Ecological Inference. Cambridge University Press eBooks. 98 indexed citations
17.
Shaddick, Gavin & Jonathan Wakefield. (2002). The effects of modelling pollution levels on the relative risk obtained from time series studies examining the relationship between air pollution and health. Epidemiology. 13(4). 1 indexed citations
18.
Aylin, Paul, et al.. (2001). Temperature, housing, deprivation and their relationship to excess winter mortality in Great Britain, 1986–1996. International Journal of Epidemiology. 30(5). 1100–1108. 135 indexed citations
19.
Pascutto, Cristiana, Jonathan Wakefield, Nicky Best, et al.. (2000). Statistical issues in the analysis of disease mapping data. Statistics in Medicine. 19(17-18). 2493–2519. 99 indexed citations
20.
Bullough, R., R.C. Newman, Jonathan Wakefield, & J. B. Willis. (1959). Precipitation on a Dislocation. Nature. 183(4653). 34–35. 12 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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