John G. Saw

36 papers and 406 indexed citations i.

About

John G. Saw is a scholar working on Statistics and Probability, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, John G. Saw has authored 36 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in John G. Saw’s work include Advanced Statistical Methods and Models (13 papers), Statistical Distribution Estimation and Applications (7 papers) and Statistical Methods and Inference (5 papers). John G. Saw is often cited by papers focused on Advanced Statistical Methods and Models (13 papers), Statistical Distribution Estimation and Applications (7 papers) and Statistical Methods and Inference (5 papers). John G. Saw collaborates with scholars based in United States, Australia and United Kingdom. John G. Saw's co-authors include Tse Chin Mo, Mark C. K. Yang, Glenn A. Walker, James R. Schott, Deborah Hughes, Paul W. Chun, Edwin L. Bradley, William G. Hudson and Samuel Goldberg and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biophysical Journal.

In The Last Decade

Co-authorship network of co-authors of John G. Saw i

Fields of papers citing papers by John G. Saw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Saw. 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 John G. Saw. The network helps show where John G. Saw may publish in the future.

Countries citing papers authored by John G. Saw

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025