Peter T. May

5.0k citations
127 papers · 3.9k · h-index 40

Impact in

    • Meteorological Phenomena and Simulations
    • Precipitation Measurement and Analysis
    • Tropical and Extratropical Cyclones Research
    • Atmospheric Ozone and Climate
    • Climate variability and models
    • Atmospheric aerosols and clouds

Papers in

    • Meteorological Phenomena and Simulations 90
    • Precipitation Measurement and Analysis 39
    • Tropical and Extratropical Cyclones Research 21
    • Climate variability and models 39
    • Atmospheric aerosols and clouds 26

Peter T. May

122 papers receiving 3.6k citations

Peers

Peter T. May
Comparison fields: 5 of 71
  • Atmospheric Science 3.5k
  • Global and Planetary Change 2.3k
  • Environmental Engineering 681
  • Oceanography 512
  • Astronomy and Astrophysics 649
Replace Steven E. Koch with:
Steven E. Koch United States
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Peter T. May relative to Steven E. Koch United States Steven E. Koch's profile →
Citations per field
00.5×1.5×
Steven E. Koch · 1×
Citations per year

Countries citing papers authored by Peter T. May

Since Specialization
Citations

This map shows the geographic impact of Peter T. 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 Peter T. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. May more than expected).

Fields of papers citing papers by Peter T. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter T. 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 Peter T. May. The network helps show where Peter T. May may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter T. May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter T. May Line = papers co-authored together Peter T. May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009167
2 2008166
3 200499
4 200095
5 201093
6 199990
7 200781
8 200877
9 200176
10 200473
11 201371
12 199968
13 200065
14 199064
15 198761
16 199960
17 198859
18 201557
19 200956
20 199355

About Peter T. May

Peter T. May is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Environmental Engineering and Aerospace Engineering, having authored 127 papers that have together received 3.9k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (90 papers), Precipitation Measurement and Analysis (39 papers), Climate variability and models (39 papers), Atmospheric aerosols and clouds (26 papers), Tropical and Extratropical Cyclones Research (21 papers), Soil Moisture and Remote Sensing (18 papers), Ocean Waves and Remote Sensing (16 papers) and Ionosphere and magnetosphere dynamics (15 papers). The work is most often cited by research in Atmospheric Science (3.5k citations), Global and Planetary Change (2.3k citations), Environmental Engineering (681 citations), Oceanography (512 citations) and Astronomy and Astrophysics (649 citations). Peter T. May has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Deepak K. Rajopadhyaya, Alain Protat, Christian Jakob, Merhala Thurai, Christopher R. Williams, V. N. Bringi, Thomas Keenan, Greg J. Holland, R. A. Vincent and Vickal V. Kumar. Their work appears in journals such as Journal of Atmospheric and Oceanic Technology, Monthly Weather Review, Radio Science, Journal of Geophysical Research Atmospheres and Journal of Applied Meteorology and 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.

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