S. James Press

70 papers and 3.7k indexed citations i.

About

S. James Press is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, S. James Press has authored 70 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 7 papers in Finance. Recurrent topics in S. James Press’s work include Advanced Statistical Methods and Models (14 papers), Statistical Distribution Estimation and Applications (14 papers) and Statistical Methods and Bayesian Inference (13 papers). S. James Press is often cited by papers focused on Advanced Statistical Methods and Models (14 papers), Statistical Distribution Estimation and Applications (14 papers) and Statistical Methods and Bayesian Inference (13 papers). S. James Press collaborates with scholars based in United States, Brazil and Canada. S. James Press's co-authors include Sandra Jo Wilson, Barry C. Arnold, Leon Jay Gleser, Michael D. Perlman, Allan R. Sampson, Tom Fearn, Pranab Kumar Sen, Manuel Morán, Judith M. Tanur and Ingram Olkin and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Biometrics.

In The Last Decade

Co-authorship network of co-authors of S. James Press i

Fields of papers citing papers by S. James Press

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by S. James Press

Since Specialization
Citations

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