Jeff Terpstra
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Orthopedics and Sports Medicine top 10%
- Sports injuries and prevention
Papers in
-
- Statistical Methods in Clinical Trials 2
- Advanced Statistical Methods and Models 2
-
- Optimal Experimental Design Methods 3
- Co-authors
- Joseph W. McKean (1 shared paper)Phillip E. McClean (2 shared papers)Mark R. Hutchinson (1 shared paper)Robert F. LaPrade (1 shared paper)Quinter M. Burnett (1 shared paper)Brian M. Slator (3 shared papers)Robert Moss (1 shared paper)Lisa Daniels (2 shared papers)
- Journals
- Journal of Science Education and Technology (1 paper)Medicine & Science in Sports & Exercise (1 paper)Agronomy Journal (1 paper)Genetic Resources and Crop Evolution (1 paper)Journal of Statistical Software (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jeff Terpstra
12 papers receiving 358 citations
Peers
Comparison fields: 5 of 104
- Statistics and Probability 61
- Orthopedics and Sports Medicine 50
- Agronomy and Crop Science 51
- Soil Science 37
- Developmental and Educational Psychology 38
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-authors
The 25 scholars most cited alongside Jeff Terpstra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 113 | |
| 2 | 1995 | 76 | |
| 3 | 2005 | 65 | |
| 4 | 2005 | 64 | |
| 5 | 2011 | 39 | |
| 6 | 2008 | 13 | |
| 7 | 2009 | 5 | |
| 8 | 2008 | 4 | |
| 9 | 2010 | 4 | |
| 10 | 2015 | 3 | |
| 11 | 2012 | 2 | |
| 12 | Comparing Two Immersive Virtual Environments for Education | 2005 | 1 |
| 13 | Thinking about Science and Christian Orthodox Beliefs: A Survey Study of Teacher Beliefs. | 2011 | 0 |
| 14 | 2014 | 0 |
About Jeff Terpstra
Jeff Terpstra is a scholar working on Statistics and Probability, Management Science and Operations Research, Environmental Chemistry, Education and Surgery, having authored 14 papers that have together received 389 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (3 papers), Statistical Methods in Clinical Trials (2 papers), Advanced Statistical Methods and Models (2 papers), Crop Yield and Soil Fertility (1 paper), Values and Moral Education (1 paper), Soil and Water Nutrient Dynamics (1 paper), Cardiovascular Effects of Exercise (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Statistics and Probability (61 citations), Orthopedics and Sports Medicine (50 citations), Agronomy and Crop Science (51 citations), Soil Science (37 citations) and Developmental and Educational Psychology (38 citations). Jeff Terpstra has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Joseph W. McKean, Phillip E. McClean, Mark R. Hutchinson, Robert F. LaPrade, Quinter M. Burnett, Brian M. Slator, Robert Moss, Lisa Daniels, Alan White and Christina Johnson. Their work appears in journals such as Journal of Science Education and Technology, Medicine & Science in Sports & Exercise, Agronomy Journal, Genetic Resources and Crop Evolution and Journal of Statistical Software.
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.