Will McCarty

10.6k total citations
37 papers, 677 citations indexed

About

Will McCarty is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Will McCarty has authored 37 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 9 papers in Oceanography. Recurrent topics in Will McCarty's work include Meteorological Phenomena and Simulations (27 papers), Climate variability and models (14 papers) and Atmospheric aerosols and clouds (11 papers). Will McCarty is often cited by papers focused on Meteorological Phenomena and Simulations (27 papers), Climate variability and models (14 papers) and Atmospheric aerosols and clouds (11 papers). Will McCarty collaborates with scholars based in United States, United Kingdom and Sweden. Will McCarty's co-authors include Ronald Gelaro, Lawrence Coy, Krzysztof Wargan, Steven Pawson, Andrea Molod, Isaac Moradi, Timothy L. Miller, Gary J. Jedlovec, Nikki C. Privé and Ronald M. Errico and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Will McCarty

36 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Will McCarty United States 13 539 479 82 65 56 37 677
Bing Lin United States 17 492 0.9× 549 1.1× 128 1.6× 29 0.4× 26 0.5× 40 747
Murty Divakarla United States 10 661 1.2× 640 1.3× 155 1.9× 67 1.0× 120 2.1× 28 851
Caroline Poulsen United Kingdom 17 742 1.4× 743 1.6× 87 1.1× 60 0.9× 45 0.8× 37 873
L. Moy United States 8 824 1.5× 709 1.5× 111 1.4× 47 0.7× 57 1.0× 11 960
D. Lambert France 17 478 0.9× 497 1.0× 89 1.1× 88 1.4× 14 0.3× 37 607
Songyan Gu China 11 452 0.8× 347 0.7× 83 1.0× 41 0.6× 82 1.5× 33 563
T. Svenøe Norway 13 463 0.9× 381 0.8× 25 0.3× 45 0.7× 33 0.6× 21 586
Thomas Kanitz Germany 17 939 1.7× 982 2.1× 32 0.4× 34 0.5× 46 0.8× 38 1.1k
Hwan‐Jin Song South Korea 16 579 1.1× 529 1.1× 45 0.5× 108 1.7× 33 0.6× 43 713

Countries citing papers authored by Will McCarty

Since Specialization
Citations

This map shows the geographic impact of Will McCarty'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 Will McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will McCarty more than expected).

Fields of papers citing papers by Will McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will McCarty. 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 Will McCarty. The network helps show where Will McCarty may publish in the future.

Co-authorship network of co-authors of Will McCarty

This figure shows the co-authorship network connecting the top 25 collaborators of Will McCarty. A scholar is included among the top collaborators of Will McCarty 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 Will McCarty. Will McCarty 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.
Johnson, Benjamin T., et al.. (2025). The CRTM transmittance coefficient package. Journal of Quantitative Spectroscopy and Radiative Transfer. 336. 109380–109380.
2.
Teixeira, João, Jeffrey R. Piepmeier, Amin R. Nehrir, et al.. (2025). Toward a Global Planetary Boundary Layer Observing System: A Summary. Bulletin of the American Meteorological Society. 106(8). E1566–E1579. 3 indexed citations
3.
Privé, Nikki C., Matthew McLinden, Bing Lin, et al.. (2023). Impacts of Marine Surface Pressure Observations from a Spaceborne Differential Absorption Radar Investigated with an Observing System Simulation Experiment. Journal of Atmospheric and Oceanic Technology. 40(8). 897–918. 4 indexed citations
4.
Moradi, Isaac, et al.. (2023). Developing a Radar Signal Simulator for the Community Radiative Transfer Model. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 3 indexed citations
5.
Moradi, Isaac, Benjamin T. Johnson, Vasileios Barlakas, et al.. (2022). Implementation of a Discrete Dipole Approximation Scattering Database Into Community Radiative Transfer Model. Journal of Geophysical Research Atmospheres. 127(24). 12 indexed citations
6.
Martin, Lynne, et al.. (2022). Developing an Unmanned Aircraft System Pilot kit (UASP-kit) for Wildland Fire UAS Operators. AIAA AVIATION 2022 Forum. 1 indexed citations
7.
McGrath‐Spangler, E. L., et al.. (2022). Using OSSEs to Evaluate the Impacts of Geostationary Infrared Sounders. Journal of Atmospheric and Oceanic Technology. 39(12). 1903–1918. 8 indexed citations
8.
Johnson, Benjamin T., et al.. (2022). A deep learning approach to fast radiative transfer. Journal of Quantitative Spectroscopy and Radiative Transfer. 280. 108088–108088. 24 indexed citations
9.
Vandal, Thomas, et al.. (2022). Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 1807–1815. 1 indexed citations
10.
McGrath‐Spangler, E. L., et al.. (2021). Sensitivity of low‐tropospheric Arctic temperatures to assimilation of AIRS cloud‐cleared radiances: Impact on midlatitude waves. Quarterly Journal of the Royal Meteorological Society. 147(741). 4032–4047. 6 indexed citations
11.
Privé, Nikki C., Ronald M. Errico, & Will McCarty. (2021). The importance of simulated errors in observing system simulation experiments. Tellus A Dynamic Meteorology and Oceanography. 73(1). 1886795–1886795. 11 indexed citations
12.
Maskey, Manil, et al.. (2021). Commercial Smallsat Data Acquisition: Program Update. 600–603. 2 indexed citations
13.
Moradi, Isaac, et al.. (2020). Assimilation of Satellite Microwave Observations over the Rainbands of Tropical Cyclones. Monthly Weather Review. 148(12). 4729–4745. 12 indexed citations
14.
Kim, Minjeong, et al.. (2020). The Framework for Assimilating All-Sky GPM Microwave Imager Brightness Temperature Data in the NASA GEOS Data Assimilation System. Monthly Weather Review. 148(6). 2433–2455. 18 indexed citations
15.
Li, Zhenglong, Jun Li, Mathew M. Gunshor, et al.. (2019). Homogenized Water Vapor Absorption Band Radiances From International Geostationary Satellites. Geophysical Research Letters. 46(17-18). 10599–10608. 7 indexed citations
16.
17.
McCarty, Will. (2017). Progress Towards an OSSE Investigating a Constellation of 4-5 μm Infrared Sounders. 1 indexed citations
18.
Coy, Lawrence, Krzysztof Wargan, Andrea Molod, Will McCarty, & Steven Pawson. (2016). Structure and Dynamics of the Quasi-Biennial Oscillation in MERRA-2. Journal of Climate. 29(14). 5339–5354. 75 indexed citations
19.
Baker, W. E., Robert Atlas, Carla Cardinali, et al.. (2013). Lidar-Measured Wind Profiles: The Missing Link in the Global Observing System. Bulletin of the American Meteorological Society. 95(4). 543–564. 132 indexed citations
20.
McCarty, Will, Gary J. Jedlovec, & Timothy L. Miller. (2009). The Impact of the Assimilation of AIRS Radiance Measurements on Short-term Weather Forecasts. NASA Technical Reports Server (NASA). 2 indexed citations

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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