Joseph L. Schafer

41 papers and 28.1k indexed citations i.

About

Joseph L. Schafer is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Joseph L. Schafer has authored 41 papers receiving a total of 28.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Joseph L. Schafer’s work include Statistical Methods and Bayesian Inference (27 papers), Statistical Methods and Inference (20 papers) and Bayesian Methods and Mixture Models (10 papers). Joseph L. Schafer is often cited by papers focused on Statistical Methods and Bayesian Inference (27 papers), Statistical Methods and Inference (20 papers) and Bayesian Methods and Mixture Models (10 papers). Joseph L. Schafer collaborates with scholars based in United States, South Korea and Spain. Joseph L. Schafer's co-authors include J. A. Graham, David E. Booth, Linda M. Collins, Maren K. Olsen, Joseph Kang, Chi-Ming Kam, Stephanie T. Lanza, David R. Lemmon, Recai Yucel and Thomas R. Belin 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 Joseph L. Schafer i

Fields of papers citing papers by Joseph L. Schafer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph L. Schafer. 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 Joseph L. Schafer. The network helps show where Joseph L. Schafer may publish in the future.

Countries citing papers authored by Joseph L. Schafer

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025