Donald J. Perkey
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Environmental Engineering
- Oceanography
- Computational Mechanics
- Co-authors
- Carl W. KreitzbergDavid P. BaumhefnerTsing-Chang ChenRobert A. MaddoxYuh‐Lang LinMelvyn A. ShapiroEric A. SmithDaniel Keyser
- Topics
- Climate variability and models (11 papers)Meteorological Phenomena and Simulations (11 papers)Tropical and Extratropical Cyclones Research (8 papers)
- Journals
- Journal of the Atmospheric SciencesMonthly Weather ReviewBulletin of the American Meteorological Society
- Partner nations
- United StatesSouth Korea
In The Last Decade
Donald J. Perkey
15 papers receiving 302 citations
Peers
Comparison fields: 5 of 36
- Atmospheric Science 322
- Global and Planetary Change 273
- Environmental Engineering 53
- Oceanography 39
- Computational Mechanics 23
Countries citing papers authored by Donald J. Perkey
This map shows the geographic impact of Donald J. Perkey'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 Donald J. Perkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald J. Perkey more than expected).
Fields of papers citing papers by Donald J. Perkey
This network shows the impact of papers produced by Donald J. Perkey. 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 Donald J. Perkey. The network helps show where Donald J. Perkey may publish in the future.
Co-authorship network of co-authors of Donald J. Perkey
This figure shows the co-authorship network connecting the top 25 collaborators of Donald J. Perkey. A scholar is included among the top collaborators of Donald J. Perkey 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 Donald J. Perkey. Donald J. Perkey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 45 | |
| 3 | 5 | |
| 4 | Diabatic initialization for a mesoscale model simulation experiment | 0 |
| 5 | Use of simulated satellite radiances from a mesoscale numerical model to understand kinematic and dynamic processes | 0 |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 29 | |
| 12 | 18 | |
| 13 | 5 | |
| 14 | 20 | |
| 15 | 65 | |
| 16 | 91 | |
| 17 | Prediction of convective activity using a system of parasitic-nested numerical models | 2 |
| 18 | 29 |
About Donald J. Perkey
Donald J. Perkey is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 18 papers that have together received 367 indexed citations. Recurring topics across this work include Climate variability and models (11 papers), Meteorological Phenomena and Simulations (11 papers) and Tropical and Extratropical Cyclones Research (8 papers). The work is most often cited by research in Atmospheric Science (322 citations), Global and Planetary Change (273 citations) and Environmental Engineering (53 citations). Donald J. Perkey has collaborated with scholars based in United States and South Korea. Frequent co-authors include Carl W. Kreitzberg, David P. Baumhefner, Tsing-Chang Chen, Robert A. Maddox, Yuh‐Lang Lin, Melvyn A. Shapiro, Eric A. Smith, Daniel Keyser, Byung-Ju Sohn and Do‐Hyung Kim. Their work appears in journals such as Journal of the Atmospheric Sciences, Monthly Weather Review and Bulletin of the American Meteorological Society.
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.