Philip T. Partain
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Astronomy and Astrophysics top 10%
- Earth-Surface Processes top 10%
- Oceanography top 10%
- Co-authors
- John M. HaynesGraeme L. StephensStephen L. DurdenE. ImSimone TanelliTristan L’EcuyerKentaroh SuzukiD. Reinke
- Topics
- Atmospheric aerosols and clouds (11 papers)Meteorological Phenomena and Simulations (6 papers)Atmospheric chemistry and aerosols (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Geophysical Research AtmospheresIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- United StatesGermanyCzechia
In The Last Decade
Philip T. Partain
16 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Atmospheric Science 1.3k
- Global and Planetary Change 1.2k
- Astronomy and Astrophysics 124
- Earth-Surface Processes 94
- Oceanography 88
Countries citing papers authored by Philip T. Partain
This map shows the geographic impact of Philip T. Partain'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 Philip T. Partain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip T. Partain more than expected).
Fields of papers citing papers by Philip T. Partain
This network shows the impact of papers produced by Philip T. Partain. 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 Philip T. Partain. The network helps show where Philip T. Partain may publish in the future.
Co-authorship network of co-authors of Philip T. Partain
This figure shows the co-authorship network connecting the top 25 collaborators of Philip T. Partain. A scholar is included among the top collaborators of Philip T. Partain 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 Philip T. Partain. Philip T. Partain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 78 | |
| 3 | 45 | |
| 4 | 88 | |
| 5 | 9 | |
| 6 | 21 | |
| 7 | 44 | |
| 8 | 15 | |
| 9 | CloudSat mission: Performance and early science after the first year of operationbreakdown → | 799 |
| 10 | 24 | |
| 11 | 319 | |
| 12 | 17 | |
| 13 | 79 | |
| 14 | 9 | |
| 15 | 19 | |
| 16 | 5 |
About Philip T. Partain
Philip T. Partain is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (11 papers), Meteorological Phenomena and Simulations (6 papers) and Atmospheric chemistry and aerosols (5 papers). The work is most often cited by research in Atmospheric Science (1.3k citations), Global and Planetary Change (1.2k citations) and Earth-Surface Processes (94 citations). Philip T. Partain has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include John M. Haynes, Graeme L. Stephens, Stephen L. Durden, E. Im, Simone Tanelli, Tristan L’Ecuyer, Kentaroh Suzuki, D. Reinke, R. Marchand and Andrew Gettelman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and IEEE Transactions on Geoscience and Remote Sensing.
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.