Leon Jay Gleser

About

Leon Jay Gleser is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Leon Jay Gleser has authored 93 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 13 papers in Management Science and Operations Research. Recurrent topics in Leon Jay Gleser’s work include Advanced Statistical Methods and Models (21 papers), Statistical Methods and Inference (19 papers) and Statistical Methods and Bayesian Inference (12 papers). Leon Jay Gleser is often cited by papers focused on Advanced Statistical Methods and Models (21 papers), Statistical Methods and Inference (19 papers) and Statistical Methods and Bayesian Inference (12 papers). Leon Jay Gleser collaborates with scholars based in United States, Canada and India. Leon Jay Gleser's co-authors include Robb J. Muirhead, Morris L. Eaton, S. James Press, Allan R. Sampson, Michael D. Perlman, Philip J. Brown, Ingram Olkin, Peter Hall, D. V. Hinkley and Bradley Efron and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Leon Jay Gleser i

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Fields of papers citing papers by Leon Jay Gleser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leon Jay Gleser. 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 Leon Jay Gleser. The network helps show where Leon Jay Gleser may publish in the future.

Countries citing papers authored by Leon Jay Gleser

Since Specialization

Citations

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