Woodrow Burchett
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Nature and Landscape Conservation top 5%
- Global and Planetary Change top 10%
- Molecular Biology
- Co-authors
- Patrick BrehenyAmanda R. EllisSolomon W. HarrarArne C. BathkePhilip M. WestgateLi DiSangwoo RyuJonathan J. Novak
- Topics
- Pharmacogenetics and Drug Metabolism (7 papers)Computational Drug Discovery Methods (5 papers)Statistical Methods and Bayesian Inference (3 papers)
- Cited by
- Ecological ModelingNature and Landscape ConservationEcology, Evolution, Behavior and Systematics
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Woodrow Burchett
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Ecology 311
- Ecology, Evolution, Behavior and Systematics 254
- Nature and Landscape Conservation 242
- Global and Planetary Change 210
- Molecular Biology 117
Countries citing papers authored by Woodrow Burchett
This map shows the geographic impact of Woodrow Burchett'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 Woodrow Burchett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woodrow Burchett more than expected).
Fields of papers citing papers by Woodrow Burchett
This network shows the impact of papers produced by Woodrow Burchett. 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 Woodrow Burchett. The network helps show where Woodrow Burchett may publish in the future.
Co-authorship network of co-authors of Woodrow Burchett
This figure shows the co-authorship network connecting the top 25 collaborators of Woodrow Burchett. A scholar is included among the top collaborators of Woodrow Burchett 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 Woodrow Burchett. Woodrow Burchett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 15 | |
| 8 | 28 | |
| 9 | 9 | |
| 10 | 20 | |
| 11 | 13 | |
| 12 | 23 | |
| 13 | 22 | |
| 14 | 3 | |
| 15 | 16 | |
| 16 | 134 | |
| 17 | Visualization of Regression Models Using visregbreakdown → | 768 |
| 18 | 16 | |
| 19 | 10 | |
| 20 | 18 |
About Woodrow Burchett
Woodrow Burchett is a scholar working on Pharmacology, Statistics and Probability and Computational Theory and Mathematics, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Computational Drug Discovery Methods (5 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Ecological Modeling (99 citations), Nature and Landscape Conservation (242 citations) and Ecology, Evolution, Behavior and Systematics (254 citations). Woodrow Burchett has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Patrick Breheny, Amanda R. Ellis, Solomon W. Harrar, Arne C. Bathke, Philip M. Westgate, Li Di, Sangwoo Ryu, Jonathan J. Novak, Christopher Keefer and Keith Riccardi. Their work appears in journals such as Environmental Science & Technology, Statistics in Medicine and Journal of Computational Chemistry.
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.