Alan Agresti

155 papers and 27.1k indexed citations i.

About

Alan Agresti is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Alan Agresti has authored 155 papers receiving a total of 27.1k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Statistics and Probability, 23 papers in Artificial Intelligence and 22 papers in Management Science and Operations Research. Recurrent topics in Alan Agresti’s work include Statistical Methods and Bayesian Inference (63 papers), Advanced Statistical Methods and Models (50 papers) and Statistical Methods in Clinical Trials (34 papers). Alan Agresti is often cited by papers focused on Statistical Methods and Bayesian Inference (63 papers), Advanced Statistical Methods and Models (50 papers) and Statistical Methods in Clinical Trials (34 papers). Alan Agresti collaborates with scholars based in United States, Italy and Germany. Alan Agresti's co-authors include Brent A. Coull, Joseph L. Fleiss, Robert K. Tsutakawa, Barbara Finlay, Yongyi Min, Brian Caffo, Dennis Lendrem, Clifford C. Clogg, Ivy Liu and Joseph B. Lang 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 Alan Agresti i

Fields of papers citing papers by Alan Agresti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alan Agresti

Since Specialization
Citations

This map shows the geographic impact of Alan Agresti'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 Alan Agresti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Agresti 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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2025