Jeff Terpstra

11 papers and 326 indexed citations i.

About

Jeff Terpstra is a scholar working on Statistics and Probability, Management Science and Operations Research and Environmental Chemistry. According to data from OpenAlex, Jeff Terpstra has authored 11 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 3 papers in Management Science and Operations Research and 2 papers in Environmental Chemistry. Recurrent topics in Jeff Terpstra’s work include Optimal Experimental Design Methods (3 papers), Advanced Statistical Methods and Models (2 papers) and Statistical Methods in Clinical Trials (2 papers). Jeff Terpstra is often cited by papers focused on Optimal Experimental Design Methods (3 papers), Advanced Statistical Methods and Models (2 papers) and Statistical Methods in Clinical Trials (2 papers). Jeff Terpstra collaborates with scholars based in United States and United Kingdom. Jeff Terpstra's co-authors include Joseph W. McKean, Phillip E. McClean, Robert Moss, Robert F. LaPrade, Quinter M. Burnett, Mark R. Hutchinson, Brian M. Slator, Alan White, Nathan E. Derby and Raymond E. Knighton and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Journal of Statistical Software and Agronomy Journal.

In The Last Decade

Co-authorship network of co-authors of Jeff Terpstra i

Fields of papers citing papers by Jeff Terpstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jeff Terpstra

Since Specialization
Citations

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