J. S. Dagpunar

38 papers and 510 indexed citations i.

About

J. S. Dagpunar is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, J. S. Dagpunar has authored 38 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Safety, Risk, Reliability and Quality, 12 papers in Statistics and Probability and 6 papers in Artificial Intelligence. Recurrent topics in J. S. Dagpunar’s work include Reliability and Maintenance Optimization (14 papers), Statistical Distribution Estimation and Applications (12 papers) and COVID-19 epidemiological studies (5 papers). J. S. Dagpunar is often cited by papers focused on Reliability and Maintenance Optimization (14 papers), Statistical Distribution Estimation and Applications (12 papers) and COVID-19 epidemiological studies (5 papers). J. S. Dagpunar collaborates with scholars based in United Kingdom, South Africa and United States. J. S. Dagpunar's co-authors include Nat Jack, C. D. Kemp, Richard L. Scheaffer, Russell Cheng, Christopher Dye, Brian Williams, Graeme Bowles, Jake Ansell, Hamish R. Gow and Lyn C. Thomas and has published in prestigious journals such as Biometrics, European Journal of Operational Research and Mathematics of Computation.

In The Last Decade

Co-authorship network of co-authors of J. S. Dagpunar i

Fields of papers citing papers by J. S. Dagpunar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J. S. Dagpunar

Since Specialization
Citations

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