John G. Saw

36 papers and 401 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 401 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 Mark C. K. Yang, Tse Chin Mo, Glenn A. Walker, Edwin L. Bradley and William G. Hudson and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biophysical Journal.

In The Last Decade

Fields of papers citing papers by John G. Saw

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by John G. Saw. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025