Kevin Garrett

873 total citations
36 papers, 551 citations indexed

About

Kevin Garrett is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Kevin Garrett has authored 36 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Kevin Garrett's work include Meteorological Phenomena and Simulations (33 papers), Climate variability and models (18 papers) and Precipitation Measurement and Analysis (12 papers). Kevin Garrett is often cited by papers focused on Meteorological Phenomena and Simulations (33 papers), Climate variability and models (18 papers) and Precipitation Measurement and Analysis (12 papers). Kevin Garrett collaborates with scholars based in United States. Kevin Garrett's co-authors include Sid‐Ahmed Boukabara, Wanchun Chen, Christopher Grassotti, Flavio Iturbide‐Sánchez, Fuzhong Weng, Quanhua Liu, Ruiyue Chen, Kayo Ide, Ross N. Hoffman and Banghua Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kevin Garrett

35 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Garrett United States 11 506 319 118 49 38 36 551
Christoph Schraff Germany 9 616 1.2× 566 1.8× 78 0.7× 54 1.1× 30 0.8× 10 667
James A. Jung United States 14 660 1.3× 580 1.8× 54 0.5× 88 1.8× 59 1.6× 31 705
Hirotaka Nakatsuka Japan 5 408 0.8× 216 0.7× 161 1.4× 50 1.0× 46 1.2× 26 471
Guylaine Canut France 14 431 0.9× 399 1.3× 140 1.2× 21 0.4× 46 1.2× 27 521
Jan Handwerker Germany 13 468 0.9× 426 1.3× 79 0.7× 17 0.3× 35 0.9× 27 524
Cristina Lupu United Kingdom 8 580 1.1× 509 1.6× 58 0.5× 67 1.4× 47 1.2× 12 642
Isidora Jankov United States 14 754 1.5× 717 2.2× 110 0.9× 27 0.6× 11 0.3× 31 817
Steven M. Cavallo United States 12 605 1.2× 556 1.7× 86 0.7× 46 0.9× 14 0.4× 28 657
Nicoletta Roberto Italy 11 289 0.6× 127 0.4× 107 0.9× 20 0.4× 22 0.6× 26 321
Daniel Birkenheuer United States 9 329 0.7× 282 0.9× 49 0.4× 38 0.8× 34 0.9× 17 365

Countries citing papers authored by Kevin Garrett

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Garrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Garrett

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Garrett. A scholar is included among the top collaborators of Kevin Garrett 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 Kevin Garrett. Kevin Garrett 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
2.
Hoffman, Ross N., et al.. (2024). Assimilating atmospheric motion vector winds using a feature track correction observation operator. Quarterly Journal of the Royal Meteorological Society. 150(765). 5074–5093.
3.
Frolov, Sergey, et al.. (2024). Integration of Emerging Data-Driven Models into the NOAA Research-to-Operations Pipeline for Numerical Weather Prediction. Bulletin of the American Meteorological Society. 106(2). E430–E437. 1 indexed citations
4.
Garrett, Kevin, et al.. (2024). Enabling the Assimilation of CrIS Shortwave Infrared Observations in Global NWP at NOAA. Part II: OSEs and Results. Journal of Atmospheric and Oceanic Technology. 41(12). 1277–1295. 1 indexed citations
5.
Yang, John Xun, Yong‐Keun Lee, Christopher Grassotti, et al.. (2023). Atmospheric humidity and temperature sounding from the CubeSat TROPICS mission: Early performance evaluation with MiRS. Remote Sensing of Environment. 287. 113479–113479. 7 indexed citations
6.
Barnet, C., et al.. (2023). Evaluating the Value of CrIS Shortwave-Infrared Channels in Atmospheric-Sounding Retrievals. Remote Sensing. 15(3). 547–547. 6 indexed citations
7.
8.
Liu, Quanhua, Banghua Yan, Kevin Garrett, et al.. (2022). Deriving Surface Reflectance From Visible/Near Infrared and Ultraviolet Satellite Observations Through the Community Radiative Transfer Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 2004–2011. 4 indexed citations
9.
Garrett, Kevin, et al.. (2022). A Deep-Learning-Based Microwave Radiative Transfer Emulator for Data Assimilation and Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 8819–8833. 15 indexed citations
10.
Ide, Kayo, et al.. (2022). Exploiting Aeolus level-2b winds to better characterize atmospheric motion vector bias and uncertainty. Atmospheric measurement techniques. 15(9). 2719–2743. 4 indexed citations
11.
Liu, Hui, et al.. (2022). A statistically optimal analysis of systematic differences between Aeolus horizontal line-of-sight winds and NOAA's Global Forecast System. Atmospheric measurement techniques. 15(13). 3925–3940. 3 indexed citations
12.
Garrett, Kevin, et al.. (2022). Optimization and impact assessment of Aeolus HLOS wind assimilation in NOAA's global forecast system. Quarterly Journal of the Royal Meteorological Society. 148(747). 2703–2716. 29 indexed citations
14.
Hoffman, Ross N., et al.. (2021). A collocation study of atmospheric motion vectors (AMVs) compared to Aeolus wind profiles with a feature track correction (FTC) observation operator. Quarterly Journal of the Royal Meteorological Society. 148(742). 321–337. 9 indexed citations
15.
Yan, Banghua, Junye Chen, Cheng‐Zhi Zou, et al.. (2020). Calibration and Validation of Antenna and Brightness Temperatures from Metop-C Advanced Microwave Sounding Unit-A (AMSU-A). Remote Sensing. 12(18). 2978–2978. 7 indexed citations
16.
Boukabara, Sid‐Ahmed & Kevin Garrett. (2018). Tropospheric Moisture Sounding Using Microwave Imaging Channels: Application to GCOM-W1/AMSR2. IEEE Transactions on Geoscience and Remote Sensing. 56(9). 5537–5549. 5 indexed citations
17.
Boukabara, Sid‐Ahmed, Kevin Garrett, & Christopher Grassotti. (2018). Dynamic Inversion of Global Surface Microwave Emissivity Using a 1DVAR Approach. Remote Sensing. 10(5). 679–679. 8 indexed citations
18.
Garrett, Kevin, et al.. (2017). Assimilation of Megha-Tropiques SAPHIR Observations in the NOAA Global Model. Monthly Weather Review. 145(9). 3725–3744. 4 indexed citations
19.
Boukabara, Sid‐Ahmed & Kevin Garrett. (2011). Benefits of a hyperspectral microwave sensor. 1881–1884. 16 indexed citations
20.
Boukabara, Sid‐Ahmed, Kevin Garrett, & Wanchun Chen. (2010). Global Coverage of Total Precipitable Water Using a Microwave Variational Algorithm. IEEE Transactions on Geoscience and Remote Sensing. 48(10). 3608–3621. 26 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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