The American Statistician

5.3k papers and 180.8k indexed citations

About

The 5.3k papers published in The American Statistician in the last decades have received a total of 180.8k indexed citations. Papers published in The American Statistician usually cover Statistics and Probability (2.2k papers), Artificial Intelligence (642 papers) and Management Science and Operations Research (492 papers) specifically the topics of Advanced Statistical Methods and Models (778 papers), Statistics Education and Methodologies (646 papers) and Statistical Methods and Bayesian Inference (508 papers). The most active scholars publishing in The American Statistician are Naomi Altman, Paul R. Rosenbaum, Donald B. Rubin, Sidney Siegel, Ron Wasserstein, Nicole A. Lazar, Ronald L. Iman, W. J. Conover, Joseph Lee Rodgers and Alan Agresti.

In The Last Decade

The American Statistician

3.1k papers receiving 120.5k citations

Countries where authors publish in The American Statistician

Since Specialization
Citations

This map shows the geographic impact of research published in The American Statistician. 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 papers published in The American Statistician with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The American Statistician more than expected).

Fields of papers published in The American Statistician

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in The American Statistician. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in The American Statistician.

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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