Meyer Dwass

37 papers and 2.1k indexed citations i.

About

Meyer Dwass is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Meyer Dwass has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 10 papers in Mathematical Physics. Recurrent topics in Meyer Dwass’s work include Bayesian Methods and Mixture Models (11 papers), Probability and Risk Models (9 papers) and Stochastic processes and statistical mechanics (8 papers). Meyer Dwass is often cited by papers focused on Bayesian Methods and Mixture Models (11 papers), Probability and Risk Models (9 papers) and Stochastic processes and statistical mechanics (8 papers). Meyer Dwass collaborates with scholars based in United States. Meyer Dwass's co-authors include S. Kullback, H. D. Brunk, Henry Teicher, Samuel Karlin, Öystein Ore, John Van Ryzin, Wilbur B. Davenport and J. Laurie Snell and has published in prestigious journals such as Journal of the American Statistical Association, SIAM Review and The American Statistician.

In The Last Decade

Co-authorship network of co-authors of Meyer Dwass i

Fields of papers citing papers by Meyer Dwass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meyer Dwass. 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 Meyer Dwass. The network helps show where Meyer Dwass may publish in the future.

Countries citing papers authored by Meyer Dwass

Since Specialization
Citations

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