Peter T. May

5.0k total citations
125 papers, 3.7k citations indexed

About

Peter T. May is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Peter T. May has authored 125 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Atmospheric Science, 58 papers in Global and Planetary Change and 27 papers in Oceanography. Recurrent topics in Peter T. May's work include Meteorological Phenomena and Simulations (89 papers), Climate variability and models (39 papers) and Precipitation Measurement and Analysis (38 papers). Peter T. May is often cited by papers focused on Meteorological Phenomena and Simulations (89 papers), Climate variability and models (39 papers) and Precipitation Measurement and Analysis (38 papers). Peter T. May collaborates with scholars based in Australia, United States and United Kingdom. Peter T. May's co-authors include Deepak K. Rajopadhyaya, Alain Protat, Christian Jakob, Merhala Thurai, Christopher R. Williams, V. N. Bringi, Thomas Keenan, Greg J. Holland, Vickal V. Kumar and R. A. Vincent and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Peter T. May

120 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter T. May Australia 39 3.3k 2.2k 635 619 487 125 3.7k
Steven E. Koch United States 35 3.3k 1.0× 2.7k 1.2× 503 0.8× 445 0.7× 478 1.0× 87 3.7k
Tammy M. Weckwerth United States 27 2.6k 0.8× 2.2k 1.0× 621 1.0× 184 0.3× 350 0.7× 61 3.1k
R. M. Bevilacqua United States 37 3.9k 1.2× 2.5k 1.1× 314 0.5× 1.4k 2.2× 328 0.7× 133 4.3k
T. Narayana Rao India 32 2.8k 0.8× 2.0k 0.9× 398 0.6× 687 1.1× 267 0.5× 186 3.1k
Matthew R. Kumjian United States 38 4.3k 1.3× 2.9k 1.3× 622 1.0× 317 0.5× 243 0.5× 114 4.6k
Wayne F. Feltz United States 30 2.7k 0.8× 2.6k 1.2× 338 0.5× 173 0.3× 216 0.4× 62 3.1k
Timothy J. Schmit United States 33 2.9k 0.9× 2.7k 1.2× 428 0.7× 308 0.5× 371 0.8× 133 3.7k
K. W. Hoppel United States 35 2.6k 0.8× 1.8k 0.8× 408 0.6× 1.1k 1.7× 321 0.7× 97 3.6k
Hiroyuki Hashiguchi Japan 27 2.2k 0.7× 1.6k 0.8× 325 0.5× 636 1.0× 510 1.0× 177 2.8k
Évelyne Richard France 28 2.7k 0.8× 2.6k 1.2× 512 0.8× 196 0.3× 294 0.6× 88 3.2k

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-authorship network of co-authors of Peter T. May

This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. May. A scholar is included among the top collaborators of Peter T. May 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 Peter T. May. Peter T. May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Yi, et al.. (2025). Simulating Closed‐to‐Open Mesoscale Cellular Convection Over the Southern Ocean: Part I. Evaluation Using SOCRATES and CAPRICORN Observations. Journal of Geophysical Research Atmospheres. 130(24). 1 indexed citations
2.
3.
Huang, Yi, et al.. (2025). Simulating Closed‐to‐Open Mesoscale Cellular Convection Over the Southern Ocean: Part II. Perturbed Physics Experiments. Journal of Geophysical Research Atmospheres. 130(24). 1 indexed citations
4.
Truong, Son C. H., et al.. (2023). Characteristics and Variability of Precipitation Across Different Sectors of an Extra‐Tropical Cyclone: A Case Study Over the High‐Latitudes of the Southern Ocean. Journal of Geophysical Research Atmospheres. 128(22). 2 indexed citations
5.
Huang, Yi, et al.. (2022). A Characterization of Clouds and Precipitation Over the Southern Ocean From Synoptic to Micro Scales During the CAPRICORN Field Campaigns. Journal of Geophysical Research Atmospheres. 127(17). 9 indexed citations
6.
Collis, Scott, Alain Protat, Peter T. May, & Christopher R. Williams. (2013). Statistics of Storm Updraft Velocities from TWP-ICE Including Verification with Profiling Measurements. Journal of Applied Meteorology and Climatology. 52(8). 1909–1922. 52 indexed citations
7.
Kumar, Vickal V., Christian Jakob, Alain Protat, Peter T. May, & Laura Davies. (2013). The four cumulus cloud modes and their progression during rainfall events: A C‐band polarimetric radar perspective. Journal of Geophysical Research Atmospheres. 118(15). 8375–8389. 50 indexed citations
8.
Protat, Alain, Julien Delanoe͏̈, Peter T. May, et al.. (2011). The variability of tropical ice cloud properties as a function of the large-scale context from ground-based radar-lidar observations over Darwin, Australia. Atmospheric chemistry and physics. 11(16). 8363–8384. 23 indexed citations
9.
May, Peter T., Grant Allen, G. Vaughan, & Paul Connolly. (2009). Aerosol and thermodynamic effects on tropical cloud systems during TWPICE and ACTIVE. Atmospheric chemistry and physics. 9(1). 15–24. 17 indexed citations
10.
11.
Brunner, Dominik, P. Siegmund, Peter T. May, et al.. (2009). The SCOUT-O3 Darwin Aircraft Campaign: rationale and meteorology. Atmospheric chemistry and physics. 9(1). 93–117. 28 indexed citations
12.
May, Peter T., J. H. Mather, G. Vaughan, et al.. (2008). Supplement to The Tropical Warm Pool International Cloud Experiment. Bulletin of the American Meteorological Society. 89(5). ES21–ES23. 9 indexed citations
13.
Smith, Roger K., et al.. (2006). Low-Level Convergence Lines over Northeastern Australia. Part II: Southerly Disturbances. Monthly Weather Review. 134(11). 3109–3124. 12 indexed citations
14.
Franklin, Charmaine, Greg J. Holland, & Peter T. May. (2005). Sensitivity of Tropical Cyclone Rainbands to Ice-Phase Microphysics. Monthly Weather Review. 133(8). 2473–2493. 39 indexed citations
15.
Lucas, Chris, Andrew D. MacKinnon, R. A. Vincent, & Peter T. May. (2004). Raindrop Size Distribution Retrievals from a VHF Boundary Layer Profiler. Journal of Atmospheric and Oceanic Technology. 21(1). 45–60. 26 indexed citations
16.
Whiteway, J. A., C. Cook, M. W. Gallagher, et al.. (2004). Anatomy of cirrus clouds: Results from the Emerald airborne campaigns. Geophysical Research Letters. 31(24). 93 indexed citations
17.
May, Peter T., A. R. Jameson, Thomas D. Keenan, Paul E. Johnston, & Chris Lucas. (2002). Combined Wind Profiler/Polarimetric Radar Studies of the Vertical Motion and Microphysical Characteristics of Tropical Sea-Breeze Thunderstorms. Monthly Weather Review. 130(9). 2228–2239. 29 indexed citations
18.
Keenan, Thomas, Peter T. May, Greg J. Holland, et al.. (2000). The Maritime Continent Thunderstorm Experiment (MCTEX): Overview and Some Results. Bulletin of the American Meteorological Society. 81(10). 2433–2455. 91 indexed citations
19.
Potts, Rodney, Thomas Keenan, & Peter T. May. (2000). Radar Characteristics of Storms in the Sydney Area. Monthly Weather Review. 128(9). 3308–3319. 42 indexed citations
20.
Neiman, Paul J., Peter T. May, M. A. Shapiro, & B. B. Stankov. (1990). RASS Observations of an Arctic Front in Colorado. ThC4–ThC4.

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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