Diana R Elbourne

21 papers and 11.1k indexed citations i.

About

Diana R Elbourne is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Diana R Elbourne has authored 21 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics, Probability and Uncertainty, 8 papers in Statistics and Probability and 8 papers in Economics and Econometrics. Recurrent topics in Diana R Elbourne’s work include Meta-analysis and systematic reviews (12 papers), Statistical Methods in Clinical Trials (8 papers) and Health Systems, Economic Evaluations, Quality of Life (8 papers). Diana R Elbourne is often cited by papers focused on Meta-analysis and systematic reviews (12 papers), Statistical Methods in Clinical Trials (8 papers) and Health Systems, Economic Evaluations, Quality of Life (8 papers). Diana R Elbourne collaborates with scholars based in United Kingdom, Australia and Austria. Diana R Elbourne's co-authors include Douglas G. Altman, Marion Campbell, Gilda Piaggio, Jim McCambridge, John Witton, Stuart Pocock, Stephen Evans, Julian P. T. Higgins, Helen V Worthington and François Curtin and has published in prestigious journals such as JAMA, Notes and Queries and Journal of Clinical Epidemiology.

In The Last Decade

Co-authorship network of co-authors of Diana R Elbourne i

Fields of papers citing papers by Diana R Elbourne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana R Elbourne. 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 Diana R Elbourne. The network helps show where Diana R Elbourne may publish in the future.

Countries citing papers authored by Diana R Elbourne

Since Specialization
Citations

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

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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