Julia E. Kelsall
Impact in
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
Papers in
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- Spatial and Panel Data Analysis 4
- Health Systems, Economic Evaluations, Quality of Life 3
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- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 2
- Co-authors
- Peter J. Diggle (5 shared papers)Scott L. Zeger (4 shared papers)Jonathan Wakefield (1 shared paper)Jonathan M. Samet (3 shared papers)Jing Xu (1 shared paper)Jing Xu (2 shared papers)Laurence S. Kalkstein (1 shared paper)Jonathan M. Samet (1 shared paper)
- Journals
- Bernoulli (3 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (2 papers)American Journal of Epidemiology (1 paper)Statistics in Medicine (1 paper)Environmental Research (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Julia E. Kelsall
11 papers receiving 951 citations
Peers
Comparison fields: 5 of 112
- Health, Toxicology and Mutagenesis 365
- Statistics and Probability 127
- Environmental Engineering 142
- Transportation 63
- Economics and Econometrics 247
Countries citing papers authored by Julia E. Kelsall
This map shows the geographic impact of Julia E. Kelsall'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 Julia E. Kelsall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia E. Kelsall more than expected).
Fields of papers citing papers by Julia E. Kelsall
This network shows the impact of papers produced by Julia E. Kelsall. 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 Julia E. Kelsall. The network helps show where Julia E. Kelsall may publish in the future.
Co-authors
The 8 scholars most cited alongside Julia E. Kelsall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 196 | |
| 2 | 1995 | 171 | |
| 3 | 1995 | 133 | |
| 4 | 1998 | 121 | |
| 5 | 2002 | 119 | |
| 6 | 1995 | 116 | |
| 7 | 1998 | 112 | |
| 8 | 1999 | 18 | |
| 9 | Nonlinear kernel density estimation for binned data: convergence in entropy | 2002 | 12 |
| 10 | Spatial variation in risk : a non-parametric binary regression approach. | 1998 | 6 |
| 11 | 1998 | 2 |
About Julia E. Kelsall
Julia E. Kelsall is a scholar working on Economics and Econometrics, Statistics and Probability, Health, Toxicology and Mutagenesis, General Health Professions and Pollution, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Air Quality and Health Impacts (4 papers), Spatial and Panel Data Analysis (4 papers), Global Health Care Issues (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Statistical Methods and Inference (2 papers), Climate Change and Health Impacts (2 papers) and Soil Geostatistics and Mapping (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (365 citations), Statistics and Probability (127 citations), Environmental Engineering (142 citations), Transportation (63 citations) and Economics and Econometrics (247 citations). Julia E. Kelsall has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Peter J. Diggle, Scott L. Zeger, Jonathan Wakefield, Jonathan M. Samet, Jing Xu, Jing Xu, Laurence S. Kalkstein and Jonathan M. Samet. Their work appears in journals such as Bernoulli, Journal of the Royal Statistical Society Series C (Applied Statistics), American Journal of Epidemiology, Statistics in Medicine and Environmental Research.
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.