Danielle L. Burke

33 papers and 2.3k indexed citations i.

About

Danielle L. Burke is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Surgery. According to data from OpenAlex, Danielle L. Burke has authored 33 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 10 papers in Statistics and Probability and 5 papers in Surgery. Recurrent topics in Danielle L. Burke’s work include Meta-analysis and systematic reviews (11 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Bayesian Inference (5 papers). Danielle L. Burke is often cited by papers focused on Meta-analysis and systematic reviews (11 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Bayesian Inference (5 papers). Danielle L. Burke collaborates with scholars based in United Kingdom, United States and The Netherlands. Danielle L. Burke's co-authors include Richard D Riley, Joie Ensor, Kym I E Snell, Karel G.M. Moons, Frank E. Harrell, Gary S. Collins, Kurt R. Stenmark, Maria G. Frid, Todd C. Carpenter and Neil Davie and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Notes and Queries.

In The Last Decade

Co-authorship network of co-authors of Danielle L. Burke i

Fields of papers citing papers by Danielle L. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle L. Burke. 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 Danielle L. Burke. The network helps show where Danielle L. Burke may publish in the future.

Countries citing papers authored by Danielle L. Burke

Since Specialization
Citations

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