Thomas Permutt

31 papers and 965 indexed citations i.

About

Thomas Permutt is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Thomas Permutt has authored 31 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 8 papers in Economics and Econometrics and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Thomas Permutt’s work include Statistical Methods in Clinical Trials (15 papers), Advanced Causal Inference Techniques (10 papers) and Health Systems, Economic Evaluations, Quality of Life (8 papers). Thomas Permutt is often cited by papers focused on Statistical Methods in Clinical Trials (15 papers), Advanced Causal Inference Techniques (10 papers) and Health Systems, Economic Evaluations, Quality of Life (8 papers). Thomas Permutt collaborates with scholars based in United States. Thomas Permutt's co-authors include J. Richard Hebel, Michael Rothman, Yuji Numaguchi, Anne Gadomski, Daniele Rigamonti, Geoffrey L. Rosenthal, C Ferencz, Joann A. Boughman, P. David Wilson and Marcella A. Wozniak and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, PEDIATRICS and Stroke.

In The Last Decade

Co-authorship network of co-authors of Thomas Permutt i

Fields of papers citing papers by Thomas Permutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Permutt

Since Specialization
Citations

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