David E. Kingsmill
- Atmospheric Science top 0.5%
- Global and Planetary Change top 1%
- Environmental Engineering top 5%
- Oceanography top 5%
- Water Science and Technology top 10%
- Co-authors
- F. Martin RalphPaul J. NeimanSandra E. YuterAllen B. WhiteOla PerssonRobert A. HouzeSergey Y. MatrosovRoger M. Wakimoto
- Topics
- Meteorological Phenomena and Simulations (45 papers)Climate variability and models (25 papers)Precipitation Measurement and Analysis (21 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
David E. Kingsmill
54 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 53
- Atmospheric Science 2.4k
- Global and Planetary Change 1.8k
- Environmental Engineering 329
- Oceanography 193
- Water Science and Technology 125
Countries citing papers authored by David E. Kingsmill
This map shows the geographic impact of David E. Kingsmill'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 David E. Kingsmill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Kingsmill more than expected).
Fields of papers citing papers by David E. Kingsmill
This network shows the impact of papers produced by David E. Kingsmill. 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 David E. Kingsmill. The network helps show where David E. Kingsmill may publish in the future.
Co-authorship network of co-authors of David E. Kingsmill
This figure shows the co-authorship network connecting the top 25 collaborators of David E. Kingsmill. A scholar is included among the top collaborators of David E. Kingsmill 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 David E. Kingsmill. David E. Kingsmill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 10 | |
| 3 | 30 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 17 | |
| 7 | 14 | |
| 8 | 46 | |
| 9 | 19 | |
| 10 | 54 | |
| 11 | 62 | |
| 12 | 22 | |
| 13 | 48 | |
| 14 | 233 | |
| 15 | 1 | |
| 16 | 62 | |
| 17 | 58 | |
| 18 | 32 | |
| 19 | 20 | |
| 20 | 55 |
About David E. Kingsmill
David E. Kingsmill is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (45 papers), Climate variability and models (25 papers) and Precipitation Measurement and Analysis (21 papers). The work is most often cited by research in Atmospheric Science (2.4k citations), Global and Planetary Change (1.8k citations) and Environmental Engineering (329 citations). David E. Kingsmill has collaborated with scholars based in United States, Canada and France. Frequent co-authors include F. Martin Ralph, Paul J. Neiman, Sandra E. Yuter, Allen B. White, Ola Persson, Robert A. Houze, Sergey Y. Matrosov, Roger M. Wakimoto, Louisa Nance and Martin Löffler‐Mang. Their work appears in journals such as Geophysical Research Letters, Journal of the Atmospheric Sciences and Monthly Weather Review.
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.