Leo A. Goodman

186 papers and 20.5k indexed citations i.

About

Leo A. Goodman is a scholar working on Statistics and Probability, Artificial Intelligence and Food Science. According to data from OpenAlex, Leo A. Goodman has authored 186 papers receiving a total of 20.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Statistics and Probability, 29 papers in Artificial Intelligence and 20 papers in Food Science. Recurrent topics in Leo A. Goodman’s work include Advanced Statistical Methods and Models (31 papers), Sensory Analysis and Statistical Methods (20 papers) and Bayesian Methods and Mixture Models (17 papers). Leo A. Goodman is often cited by papers focused on Advanced Statistical Methods and Models (31 papers), Sensory Analysis and Statistical Methods (20 papers) and Bayesian Methods and Mixture Models (17 papers). Leo A. Goodman collaborates with scholars based in United States, Ghana and The Netherlands. Leo A. Goodman's co-authors include William Kruskal, T. W. Anderson, Kenneth J. Arrow, Jacques A. Hagenaars, Clifford C. Clogg, Jeroen K. Vermunt, C. Mitchell Dayton, Linda M. Collins, Anton K. Formann and Tamás Rudas and has published in prestigious journals such as Psychological Bulletin, Journal of the American Statistical Association and Contemporary Sociology A Journal of Reviews.

In The Last Decade

Co-authorship network of co-authors of Leo A. Goodman i

Fields of papers citing papers by Leo A. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo A. Goodman. 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 Leo A. Goodman. The network helps show where Leo A. Goodman may publish in the future.

Countries citing papers authored by Leo A. Goodman

Since Specialization
Citations

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