Julia E. Kelsall

1.4k citations
12 papers · 1.1k · h-index 11

Impact in

Papers in

Julia E. Kelsall

12 papers receiving 1.0k citations

Peers

Julia E. Kelsall
Comparison fields: 5 of 115
  • Health, Toxicology and Mutagenesis 350
  • Statistics and Probability 130
  • Epidemiology 295
  • Environmental Engineering 140
  • Economics and Econometrics 259
Replace Jonathan Wakefield with:
Jonathan Wakefield United States
Juan J. Abellán Spain
Michela Cameletti Italy
Andrea Riebler Norway
Paula Moraga Saudi Arabia
John C. Wakefield Hong Kong
Sigrunn H. Sørbye Norway
Antonio López‐Quílez Spain
Chantal Guihenneuc‐Jouyaux France
Thomas O. Talbot United States
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Citations per field
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Citations per year

Countries citing papers authored by Julia E. Kelsall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 9 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.

Border = papers with Julia E. Kelsall Line = papers co-authored together Julia E. Kelsall links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1997200
2 1995195
3 1995139
4 1998127
5 2002127
6 1995119
7 1998115
8 200160
9 199918
10
Nonlinear kernel density estimation for binned data: convergence in entropy
200213
11
Spatial variation in risk : a non-parametric binary regression approach.
199810
12 19982

About Julia E. Kelsall

Julia E. Kelsall is a scholar working on Statistics and Probability, Economics and Econometrics, Health, Toxicology and Mutagenesis, General Health Professions and Epidemiology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 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), Climate Change and Health Impacts (2 papers), Statistical Methods and Inference (2 papers) and Point processes and geometric inequalities (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (350 citations), Statistics and Probability (130 citations), Epidemiology (295 citations), Environmental Engineering (140 citations) and Economics and Econometrics (259 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, Jonathan M. Samet, Laurence S. Kalkstein and John C. Wakefield. Their work appears in journals such as Bernoulli, Journal of the Royal Statistical Society Series C (Applied Statistics), Applied Occupational and Environmental Hygiene, Journal of the American Statistical Association and Statistics in Medicine.

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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