Todd Coffey
Impact in
-
- Regulation of Appetite and Obesity
- Numerical Analysis top 10%
Papers in
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- Advanced Numerical Methods in Computational Mathematics 4
- Co-authors
- C. T. Kelley (5 shared papers)David E. Keyes (1 shared paper)Jonathan D. Roth (4 shared papers)Shyam S. Sablani (3 shared papers)Barbara Rasco (3 shared papers)Edwin Walker (2 shared papers)Walter J. Urba (2 shared papers)Roxanne Payne (1 shared paper)
- Journals
- The AAPS Journal (3 papers)Journal of Agricultural Biological and Environmental Statistics (2 papers)Endocrinology (2 papers)SIAM Journal on Scientific Computing (1 paper)Pharmaceutical Statistics (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Todd Coffey
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 140
- Endocrine and Autonomic Systems 188
- Numerical Analysis 59
- Equine 16
- Immunology 198
- Oncology 176
Countries citing papers authored by Todd Coffey
This map shows the geographic impact of Todd Coffey'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 Todd Coffey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Coffey more than expected).
Fields of papers citing papers by Todd Coffey
This network shows the impact of papers produced by Todd Coffey. 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 Todd Coffey. The network helps show where Todd Coffey may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Coffey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 249 | |
| 2 | 2008 | 127 | |
| 3 | 2003 | 90 | |
| 4 | 2007 | 65 | |
| 5 | 2019 | 63 | |
| 6 | 2018 | 61 | |
| 7 | 2008 | 37 | |
| 8 | 2018 | 36 | |
| 9 | 2003 | 33 | |
| 10 | 2018 | 32 | |
| 11 | 2005 | 29 | |
| 12 | 2007 | 26 | |
| 13 | 2018 | 23 | |
| 14 | 2003 | 23 | |
| 15 | 2014 | 21 | |
| 16 | 2005 | 20 | |
| 17 | 2018 | 16 | |
| 18 | 2017 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2018 | 13 |
About Todd Coffey
Todd Coffey is a scholar working on Plant Science, Computational Mechanics, Management Science and Operations Research, Immunology and Computational Theory and Mathematics, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Numerical methods for differential equations (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Regulation of Appetite and Obesity (3 papers), Statistical Methods in Clinical Trials (3 papers), Soil and Unsaturated Flow (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (188 citations), Numerical Analysis (59 citations), Equine (16 citations), Immunology (198 citations) and Oncology (176 citations). Todd Coffey has collaborated with scholars based in United States, Germany and India. Frequent co-authors include C. T. Kelley, David E. Keyes, Jonathan D. Roth, Shyam S. Sablani, Barbara Rasco, Edwin Walker, Walter J. Urba, Roxanne Payne, Janet Siebert and William L. Miller. Their work appears in journals such as The AAPS Journal, Journal of Agricultural Biological and Environmental Statistics, Endocrinology, SIAM Journal on Scientific Computing and Pharmaceutical Statistics.
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.