Duncan J. Murdoch

26 papers and 326 indexed citations i.

About

Duncan J. Murdoch is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Duncan J. Murdoch has authored 26 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Duncan J. Murdoch’s work include Markov Chains and Monte Carlo Methods (5 papers), Advanced Queuing Theory Analysis (3 papers) and Statistical Methods and Inference (3 papers). Duncan J. Murdoch is often cited by papers focused on Markov Chains and Monte Carlo Methods (5 papers), Advanced Queuing Theory Analysis (3 papers) and Statistical Methods and Inference (3 papers). Duncan J. Murdoch collaborates with scholars based in Canada and United States. Duncan J. Murdoch's co-authors include Judd S. Day, Geneviève Dumas, Daniel Krewski, Jeffrey S. Rosenthal, James Allen Fill, John Wargo, Glen Takahara, Erich Neuwirth, Hwashin Hyun Shin and David A. Stanford and has published in prestigious journals such as Journal of Biomechanics, Journal of Statistical Software and Risk Analysis.

In The Last Decade

Co-authorship network of co-authors of Duncan J. Murdoch i

Fields of papers citing papers by Duncan J. Murdoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duncan J. Murdoch. 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 Duncan J. Murdoch. The network helps show where Duncan J. Murdoch may publish in the future.

Countries citing papers authored by Duncan J. Murdoch

Since Specialization
Citations

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