D. R. McNeil

About

D. R. McNeil is a scholar working on Management Science and Operations Research, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, D. R. McNeil has authored 15 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 3 papers in Mathematical Physics and 2 papers in Artificial Intelligence. Recurrent topics in D. R. McNeil’s work include Stochastic processes and statistical mechanics (3 papers), Advanced Statistical Methods and Models (2 papers) and Bayesian Methods and Mixture Models (2 papers). D. R. McNeil is often cited by papers focused on Stochastic processes and statistical mechanics (3 papers), Advanced Statistical Methods and Models (2 papers) and Bayesian Methods and Mixture Models (2 papers). D. R. McNeil collaborates with scholars based in United States, Australia and United Kingdom. D. R. McNeil's co-authors include Ansley J. Coale, J. Gani and Praphasri Jongsuksuntigul and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of D. R. McNeil i

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Fields of papers citing papers by D. R. McNeil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by D. R. McNeil

Since Specialization

Citations

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