Jeff Terpstra
- Plant Science
- Education top 10%
- Orthopedics and Sports Medicine top 10%
- Statistics and Probability top 5%
- Agronomy and Crop Science top 10%
- Co-authors
- Joseph W. McKeanPhillip E. McCleanRobert MossQuinter M. BurnettLisa DanielsMark R. HutchinsonBrian M. SlatorRobert F. LaPrade
- Topics
- Optimal Experimental Design Methods (3 papers)Advanced Statistical Methods and Models (2 papers)Statistical Methods in Clinical Trials (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jeff Terpstra
12 papers receiving 354 citations
Peers
Comparison fields: 5 of 106
- Plant Science 85
- Education 70
- Orthopedics and Sports Medicine 68
- Statistics and Probability 60
- Agronomy and Crop Science 51
Countries citing papers authored by Jeff Terpstra
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).
Fields of papers citing papers by Jeff Terpstra
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.
Co-authorship network of co-authors of Jeff Terpstra
This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Terpstra. A scholar is included among the top collaborators of Jeff Terpstra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeff Terpstra. Jeff Terpstra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 39 | |
| 5 | Thinking about Science and Christian Orthodox Beliefs: A Survey Study of Teacher Beliefs. | 0 |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 111 | |
| 11 | 64 | |
| 12 | Comparing Two Immersive Virtual Environments for Education | 1 |
| 13 | 64 | |
| 14 | 75 |
About Jeff Terpstra
Jeff Terpstra is a scholar working on Statistics and Probability, Management Science and Operations Research and History and Philosophy of Science, having authored 14 papers that have together received 384 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (3 papers), Advanced Statistical Methods and Models (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (68 citations), Statistics and Probability (60 citations) and Agronomy and Crop Science (51 citations). Jeff Terpstra has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Joseph W. McKean, Phillip E. McClean, Robert Moss, Quinter M. Burnett, Lisa Daniels, Mark R. Hutchinson, Brian M. Slator, Robert F. LaPrade, Alan White and Christina Johnson. Their work appears in journals such as Medicine & Science in Sports & Exercise, Journal of Statistical Software and Agronomy Journal.
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.