Matthew K. Doggett
- Global and Planetary Change top 1%
- Atmospheric Science top 2%
- Water Science and Technology top 2%
- Ecology top 5%
- Nature and Landscape Conservation top 2%
- Co-authors
- Christopher DalyJoseph I. SmithGeorge H. TaylorWayne GibsonMichael D. HalbleibJ. B. CurtisJustine I. BlanfordKenneth Wilson
- Topics
- Precipitation Measurement and Analysis (3 papers)Meteorological Phenomena and Simulations (3 papers)Climate variability and models (3 papers)
- Journals
- Proceedings of the National Academy of SciencesBulletin of the American Meteorological SocietyInternational Journal of Climatology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Matthew K. Doggett
6 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Global and Planetary Change 1.6k
- Atmospheric Science 1.1k
- Water Science and Technology 605
- Ecology 586
- Nature and Landscape Conservation 470
Countries citing papers authored by Matthew K. Doggett
This map shows the geographic impact of Matthew K. Doggett'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 Matthew K. Doggett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew K. Doggett more than expected).
Fields of papers citing papers by Matthew K. Doggett
This network shows the impact of papers produced by Matthew K. Doggett. 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 Matthew K. Doggett. The network helps show where Matthew K. Doggett may publish in the future.
Co-authorship network of co-authors of Matthew K. Doggett
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew K. Doggett. A scholar is included among the top collaborators of Matthew K. Doggett 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 Matthew K. Doggett. Matthew K. Doggett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 32 | |
| 3 | Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United Statesbreakdown → | 2428 |
| 4 | 65 | |
| 5 | 247 | |
| 6 | An Atmospheric Sensitivity and Validation Study of the Variable Terrain Radio Parabolic Equation Model (VTRPE) | 5 |
About Matthew K. Doggett
Matthew K. Doggett is a scholar working on Atmospheric Science, Global and Planetary Change and Insect Science, having authored 6 papers that have together received 2.8k indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (3 papers), Meteorological Phenomena and Simulations (3 papers) and Climate variability and models (3 papers). The work is most often cited by research in Global and Planetary Change (1.6k citations), Ecological Modeling (297 citations) and Atmospheric Science (1.1k citations). Matthew K. Doggett has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Christopher Daly, Joseph I. Smith, George H. Taylor, Wayne Gibson, Michael D. Halbleib, J. B. Curtis, Justine I. Blanford, Kenneth Wilson, Stephen J. Simpson and Matthew B. Thomas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bulletin of the American Meteorological Society and International Journal of Climatology.
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.