Thomas J. DiCiccio

About

Thomas J. DiCiccio is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Thomas J. DiCiccio has authored 71 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in Thomas J. DiCiccio’s work include Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (33 papers) and Advanced Statistical Methods and Models (23 papers). Thomas J. DiCiccio is often cited by papers focused on Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (33 papers) and Advanced Statistical Methods and Models (23 papers). Thomas J. DiCiccio collaborates with scholars based in United States, United Kingdom and Canada. Thomas J. DiCiccio's co-authors include Bradley Efron, Robert E. Kass, Adrian E. Raftery, Larry Wasserman, Joseph P. Romano, Michael A. Martin, G. A. Young, Peter Hall, Peter Hall and Steven Stern and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Management Science.

In The Last Decade

Co-authorship network of co-authors of Thomas J. DiCiccio i

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Fields of papers citing papers by Thomas J. DiCiccio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. DiCiccio. 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 Thomas J. DiCiccio. The network helps show where Thomas J. DiCiccio may publish in the future.

Countries citing papers authored by Thomas J. DiCiccio

Since Specialization

Citations

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