Donna L. Coffman
- Applied Psychology top 2%
- Behavioral Health and Interventions 9
- Statistics and Probability top 1%
- Advanced Causal Inference Techniques 30
- Statistical Methods and Bayesian Inference 16
- Statistical Methods and Inference 14
- Clinical Psychology top 2%
- Child and Adolescent Psychosocial and Emotional Development 9
- Social Psychology top 2%
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- Nutritional Studies and Diet 14
- Obesity, Physical Activity, Diet 14
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- Health disparities and outcomes 8
- Co-authors
- Robert C. MacCallumAlberto Maydeu‐OlivaresStephanie T. LanzaRunze LiJohn J. DziakLars S. JermiinTammy D. GilliganYeying Zhu
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)American Journal of Clinical Nutrition (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Donna L. Coffman
102 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Applied Psychology 289
- Statistics and Probability 360
- Clinical Psychology 656
- Experimental and Cognitive Psychology 360
- Social Psychology 512
Countries citing papers authored by Donna L. Coffman
This map shows the geographic impact of Donna L. Coffman'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 Donna L. Coffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna L. Coffman more than expected).
Fields of papers citing papers by Donna L. Coffman
This network shows the impact of papers produced by Donna L. Coffman. 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 Donna L. Coffman. The network helps show where Donna L. Coffman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donna L. Coffman, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 18 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 3 | |
| 12 | Sensitivity and specificity of information criteriabreakdown → | 2019 | 381 |
| 13 | 2018 | 13 | |
| 14 | 2017 | 32 | |
| 15 | 2016 | 12 | |
| 16 | 2014 | 51 | |
| 17 | 2014 | 42 | |
| 18 | 2013 | 33 | |
| 19 | 2007 | 59 | |
| 20 | Asymptotically Distribution Free (Adf) Interval Estimation of Coefficient Alpha | 2006 | 0 |
About Donna L. Coffman
Donna L. Coffman is a scholar working on Statistics and Probability, Applied Psychology and Health, having authored 108 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (30 papers), Statistical Methods and Bayesian Inference (16 papers), Nutritional Studies and Diet (14 papers), Obesity, Physical Activity, Diet (14 papers), Statistical Methods and Inference (14 papers), Child and Adolescent Psychosocial and Emotional Development (9 papers), Behavioral Health and Interventions (9 papers) and Health disparities and outcomes (8 papers). The work is most often cited by research in Applied Psychology (289 citations), Statistics and Probability (360 citations) and Clinical Psychology (656 citations). Donna L. Coffman has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Robert C. MacCallum, Alberto Maydeu‐Olivares, Stephanie T. Lanza, Runze Li, John J. Dziak, Lars S. Jermiin, Tammy D. Gilligan, Yeying Zhu, Debashis Ghosh and Wei Zhong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.
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.