Todd Coffey
Impact in
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- 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)Barbara Rasco (3 shared papers)Shyam S. Sablani (3 shared papers)Walter J. Urba (2 shared papers)David G. Parkes (3 shared papers)Edwin Walker (2 shared papers)
- Journals
- The AAPS Journal (3 papers)Journal of Agricultural Biological and Environmental Statistics (2 papers)Endocrinology (2 papers)Biological Control (1 paper)Journal of Veterinary Pharmacology and Therapeutics (1 paper)
- Partner nations
- United StatesGermanyLibya
In The Last Decade
Todd Coffey
36 papers receiving 990 citations
Peers
Comparison fields: 5 of 144
- Endocrine and Autonomic Systems 199
- Numerical Analysis 59
- Equine 18
- Immunology 213
- Oncology 198
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 246 | |
| 2 | 2008 | 125 | |
| 3 | 2003 | 88 | |
| 4 | 2007 | 64 | |
| 5 | 2019 | 60 | |
| 6 | 2018 | 59 | |
| 7 | 2008 | 37 | |
| 8 | 2018 | 34 | |
| 9 | 2003 | 32 | |
| 10 | 2018 | 30 | |
| 11 | 2005 | 29 | |
| 12 | 2007 | 25 | |
| 13 | 2003 | 23 | |
| 14 | 2018 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2005 | 19 | |
| 17 | 2018 | 16 | |
| 18 | 2017 | 14 | |
| 19 | 2017 | 13 | |
| 20 | 2018 | 13 |
About Todd Coffey
Todd Coffey is a scholar working on Plant Science, Computational Mechanics, Management Science and Operations Research, Physiology and Immunology, having authored 39 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), Regulation of Appetite and Obesity (4 papers), Numerical methods for differential equations (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Statistical Methods in Clinical Trials (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Clinical Laboratory Practices and Quality Control (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (199 citations), Numerical Analysis (59 citations), Equine (18 citations), Immunology (213 citations) and Oncology (198 citations). Todd Coffey has collaborated with scholars based in United States, Germany and Libya. Frequent co-authors include C. T. Kelley, David E. Keyes, Jonathan D. Roth, Barbara Rasco, Shyam S. Sablani, Walter J. Urba, David G. Parkes, Edwin Walker, William L. Miller and Brendan D. Curti. Their work appears in journals such as The AAPS Journal, Journal of Agricultural Biological and Environmental Statistics, Endocrinology, Biological Control and Journal of Veterinary Pharmacology and Therapeutics.
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.