Kevin Burke

About

Kevin Burke is a scholar working on Statistics and Probability, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Kevin Burke has authored 34 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 4 papers in Sociology and Political Science. Recurrent topics in Kevin Burke’s work include Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Kevin Burke is often cited by papers focused on Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Kevin Burke collaborates with scholars based in Ireland, United Kingdom and United States. Kevin Burke's co-authors include M. C. Jones, Angela Noufaily, Péter Molnár, S. Fennell, James P. Gleeson, Michael Quayle, Cathal Walsh, Mike Prest, Leonard Browne and Sally McClean and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Kevin Burke i

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Fields of papers citing papers by Kevin Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kevin Burke

Since Specialization

Citations

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