Ryan M. May
Impact in
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
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- Climate variability and models
- Atmospheric aerosols and clouds
Papers in
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- Precipitation Measurement and Analysis 4
- Meteorological Phenomena and Simulations 1
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- Scientific Computing and Data Management 2
- Big Data Technologies and Applications 1
- Co-authors
- Sean C. Arms (1 shared paper)John R. Leeman (1 shared paper)Kevin H. Goebbert (1 shared paper)Eric C. Bruning (1 shared paper)Patrick T. Marsh (1 shared paper)Steve Ansari (1 shared paper)Guifu Zhang (1 shared paper)Edward J. Kearns (1 shared paper)
- Journals
- Bulletin of the American Meteorological Society (2 papers)Journal of Atmospheric and Oceanic Technology (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan M. May
7 papers receiving 220 citations
Peers
Comparison fields: 5 of 35
- Atmospheric Science 145
- Global and Planetary Change 41
- Ecology 25
- Geology 7
- Aerospace Engineering 17
Countries citing papers authored by Ryan M. May
This map shows the geographic impact of Ryan M. May'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 Ryan M. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan M. May more than expected).
Fields of papers citing papers by Ryan M. May
This network shows the impact of papers produced by Ryan M. May. 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 Ryan M. May. The network helps show where Ryan M. May may publish in the future.
Co-authors
The 20 scholars most cited alongside Ryan M. May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 111 | |
| 2 | 2017 | 68 | |
| 3 | 2012 | 27 | |
| 4 | 2007 | 11 | |
| 5 | Estimating and Mitigating Errors in Dual-Polarization Radar Attenuation Correction | 2014 | 2 |
| 6 | 2017 | 1 | |
| 7 | 2023 | 1 |
About Ryan M. May
Ryan M. May is a scholar working on Atmospheric Science, Information Systems and Management, Geology, Information Systems and Artificial Intelligence, having authored 7 papers that have together received 221 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (4 papers), Environmental Monitoring and Data Management (2 papers), Scientific Computing and Data Management (2 papers), Cloud Computing and Resource Management (1 paper), Research Data Management Practices (1 paper), Computational Physics and Python Applications (1 paper), Meteorological Phenomena and Simulations (1 paper) and Big Data Technologies and Applications (1 paper). The work is most often cited by research in Atmospheric Science (145 citations), Global and Planetary Change (41 citations), Ecology (25 citations), Geology (7 citations) and Aerospace Engineering (17 citations). Ryan M. May has collaborated with scholars based in United States. Frequent co-authors include Sean C. Arms, John R. Leeman, Kevin H. Goebbert, Eric C. Bruning, Patrick T. Marsh, Steve Ansari, Guifu Zhang, Edward J. Kearns, Robert D. Palmer and Otis B. Brown. Their work appears in journals such as Bulletin of the American Meteorological Society, Journal of Atmospheric and Oceanic Technology, IEEE Transactions on Geoscience and Remote Sensing, SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University) and Zenodo (CERN European Organization for Nuclear Research).
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.