Jonathan Wakefield
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in ⓘ
-
- Statistical Methods and Bayesian Inference 12
- Statistical Methods and Inference 4
-
- Spatial and Panel Data Analysis 10
- Economic and Environmental Valuation 4
- Co-authors
- Ruth Salway (4 shared papers)Julia E. Kelsall (1 shared paper)R.C. Newman (6 shared papers)Paul Elliott (2 shared papers)Sebastien Haneuse (2 shared papers)Hil Lyons (1 shared paper)Nicky Best (2 shared papers)Robert E. Kass (2 shared papers)
- Journals
- Biostatistics (4 papers)International Statistical Review (3 papers)Journal of the American Statistical Association (3 papers)Electronics Letters (2 papers)Environmental and Ecological Statistics (2 papers)
- Partner nations
- United StatesUnited KingdomMalawi
In The Last Decade
Jonathan Wakefield
51 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 166
- Statistics and Probability 346
- Health, Toxicology and Mutagenesis 365
- Health 191
- Modeling and Simulation 98
- Economics and Econometrics 368
Countries citing papers authored by Jonathan Wakefield
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
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-authors
The 25 scholars most cited alongside Jonathan Wakefield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 220 | |
| 2 | 2007 | 151 | |
| 3 | 2001 | 135 | |
| 4 | 2002 | 119 | |
| 5 | 2000 | 99 | |
| 6 | 2004 | 98 | |
| 7 | 2001 | 84 | |
| 8 | 2005 | 82 | |
| 9 | 1961 | 82 | |
| 10 | 2005 | 71 | |
| 11 | 1999 | 62 | |
| 12 | 2015 | 58 | |
| 13 | 2010 | 58 | |
| 14 | 2013 | 40 | |
| 15 | 2004 | 38 | |
| 16 | 2006 | 30 | |
| 17 | 1999 | 23 | |
| 18 | 1998 | 21 | |
| 19 | 2005 | 19 | |
| 20 | 2007 | 17 |
About Jonathan Wakefield
Jonathan Wakefield is a scholar working on Statistics and Probability, Economics and Econometrics, Epidemiology, Electrical and Electronic Engineering and Health, Toxicology and Mutagenesis, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (12 papers), Spatial and Panel Data Analysis (10 papers), Air Quality and Health Impacts (9 papers), Silicon and Solar Cell Technologies (7 papers), demographic modeling and climate adaptation (6 papers), Data-Driven Disease Surveillance (6 papers), Statistical Methods and Inference (4 papers) and Economic and Environmental Valuation (4 papers). The work is most often cited by research in Statistics and Probability (346 citations), Health, Toxicology and Mutagenesis (365 citations), Health (191 citations), Modeling and Simulation (98 citations) and Economics and Econometrics (368 citations). Jonathan Wakefield has collaborated with scholars based in United States, United Kingdom and Malawi. Frequent 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 Sara Morris. Their work appears in journals such as Biostatistics, International Statistical Review, Journal of the American Statistical Association, Electronics Letters and Environmental and Ecological Statistics.
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.