Christopher Grassotti

1.3k total citations
57 papers, 879 citations indexed

About

Christopher Grassotti is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Christopher Grassotti has authored 57 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Atmospheric Science, 31 papers in Global and Planetary Change and 14 papers in Environmental Engineering. Recurrent topics in Christopher Grassotti's work include Meteorological Phenomena and Simulations (41 papers), Precipitation Measurement and Analysis (29 papers) and Climate variability and models (19 papers). Christopher Grassotti is often cited by papers focused on Meteorological Phenomena and Simulations (41 papers), Precipitation Measurement and Analysis (29 papers) and Climate variability and models (19 papers). Christopher Grassotti collaborates with scholars based in United States, France and Germany. Christopher Grassotti's co-authors include Ross N. Hoffman, Louis Garand, Quanhua Liu, Sid‐Ahmed Boukabara, Kevin Garrett, Flavio Iturbide‐Sánchez, Dara Entekhabi, Enrique R. Vivoni, Thomas Nehrkorn and Wanchun Chen and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Christopher Grassotti

51 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Grassotti United States 15 756 461 223 89 85 57 879
Mircea Grecu United States 20 962 1.3× 532 1.2× 266 1.2× 64 0.7× 50 0.6× 36 1.0k
Bruce Macpherson United Kingdom 14 953 1.3× 806 1.7× 219 1.0× 171 1.9× 51 0.6× 22 1.1k
Meta Sienkiewicz United States 8 995 1.3× 936 2.0× 100 0.4× 148 1.7× 37 0.4× 14 1.2k
Sue Ballard United Kingdom 11 951 1.3× 856 1.9× 159 0.7× 75 0.8× 40 0.5× 14 1.0k
Gianfranco Vulpiani Italy 24 1.1k 1.5× 545 1.2× 456 2.0× 46 0.5× 36 0.4× 60 1.3k
Masaru Kunii Japan 20 905 1.2× 826 1.8× 120 0.5× 178 2.0× 34 0.4× 50 1.1k
Ross Bannister United Kingdom 10 886 1.2× 792 1.7× 196 0.9× 117 1.3× 37 0.4× 32 986
Randy Bullock United States 12 1.2k 1.6× 1.1k 2.5× 120 0.5× 68 0.8× 45 0.5× 17 1.3k
Paolo Sanò Italy 21 932 1.2× 433 0.9× 264 1.2× 64 0.7× 18 0.2× 61 1.0k
Thomas Auligné United States 18 1.0k 1.4× 981 2.1× 193 0.9× 87 1.0× 42 0.5× 31 1.2k

Countries citing papers authored by Christopher Grassotti

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Grassotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Grassotti

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Grassotti. A scholar is included among the top collaborators of Christopher Grassotti 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 Christopher Grassotti. Christopher Grassotti 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.
Yang, John Xun, Shuyan Liu, Christopher Grassotti, et al.. (2024). Evaluating rainfall and graupel retrieval performance of the NASA TROPICS pathfinder through the NOAA MiRS system. Remote Sensing of Environment. 318. 114570–114570. 1 indexed citations
2.
Zhou, Lihang, Mitch Goldberg, Satya Kalluri, et al.. (2024). Improving ATMS Imagery Visualization Using Limb Correction and AI Resolution Enhancement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 4263–4279.
3.
Liu, Shuyan, Christopher Grassotti, & Quanhua Liu. (2024). Warm-Season Microwave Integrated Retrieval System Precipitation Improvement Using Machine Learning Methods. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 10600–10611.
4.
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
5.
Liu, Shuyan, Christopher Grassotti, & Quanhua Liu. (2023). Use of a U-Net Architecture to Improve Microwave Integrated Retrieval System (MiRS) Precipitation Rates. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 4 indexed citations
6.
Grassotti, Christopher, et al.. (2023). Machine Learning-Based Estimation of Tropical Cyclone Intensity from Advanced Technology Microwave Sounder Using a U-Net Algorithm. Remote Sensing. 16(1). 77–77. 1 indexed citations
7.
Zhou, Lihang, Banghua Yan, Ninghai Sun, et al.. (2023). Observed Atmospheric Features for the 2022 Hunga Tonga Volcanic Eruption from Joint Polar Satellite System Science Data Products. Atmosphere. 14(2). 263–263. 2 indexed citations
8.
Yang, John Xun, Yalei You, William J. Blackwell, et al.. (2023). SatERR: A Community Error Inventory for Satellite Microwave Observation Error Representation and Uncertainty Quantification. Bulletin of the American Meteorological Society. 105(1). E1–E20. 7 indexed citations
9.
Liu, Shuyan, et al.. (2022). Improvement of MiRS Sea Surface Temperature Retrievals Using a Machine Learning Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 1857–1868. 5 indexed citations
10.
Lee, Yong‐Keun, Christopher Grassotti, Quanhua Liu, Shuyan Liu, & Yan Zhou. (2022). In‐Depth Evaluation of MiRS Total Precipitable Water From NOAA‐20 ATMS Using Multiple Reference Data Sets. Earth and Space Science. 9(2). 4 indexed citations
11.
Gan, Yanjun, Yu Zhang, Yuqiong Liu, Cezar Kongoli, & Christopher Grassotti. (2022). Assimilation of blended in situ-satellite snow water equivalent into the National Water Model for improving hydrologic simulation in two US river basins. The Science of The Total Environment. 838(Pt 4). 156567–156567. 5 indexed citations
12.
Liu, Quanhua, et al.. (2021). Experimental OMPS Radiance Assimilation through One-Dimensional Variational Analysis for Total Column Ozone in the Atmosphere. Remote Sensing. 13(17). 3418–3418. 3 indexed citations
13.
Liu, Quanhua, et al.. (2021). Preliminary Development and Testing of an EPS-SG Microwave Sounder Proxy Data Generator Using the NOAA Microwave Integrated Retrieval System. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 3151–3161. 3 indexed citations
14.
Gan, Yanjun, Yu Zhang, Cezar Kongoli, et al.. (2021). Evaluation and blending of ATMS and AMSR2 snow water equivalent retrievals over the conterminous United States. Remote Sensing of Environment. 254. 112280–112280. 11 indexed citations
15.
Zhou, Yan & Christopher Grassotti. (2020). Development of a Machine Learning-Based Radiometric Bias Correction for NOAA’s Microwave Integrated Retrieval System (MiRS). Remote Sensing. 12(19). 3160–3160. 13 indexed citations
16.
Liu, Shuyan, Christopher Grassotti, Quanhua Liu, et al.. (2020). The NOAA Microwave Integrated Retrieval System (MiRS): Validation of Precipitation From Multiple Polar-Orbiting Satellites. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3019–3031. 21 indexed citations
17.
Ferraro, Ralph, Patrick Meyers, Paul Chang, et al.. (2017). Application of GCOM-W AMSR2 and S-NPP ATMS Hydrological Products to a Flooding Event in the United States. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(9). 3884–3891. 4 indexed citations
18.
Grassotti, Christopher, et al.. (2015). The NOAA Microwave Integrated Retrieval System (MiRS): Recent Science Improvements and Validation Results. AGUFM. 2015.
19.
Grassotti, Christopher, Enrique R. Vivoni, Ross N. Hoffman, & Dara Entekhabi. (2002). Hydrometeorological Studies With NEXRAD-based Precipitation Products. AGU Spring Meeting Abstracts. 2002. 1 indexed citations
20.
Vivoni, Enrique R., et al.. (2001). Utilizing NEXRAD-based QPEs and short-term QPFs in a TIN-based Distributed Hydrologic Model for Hydrologic Forecasting. AGU Fall Meeting Abstracts. 2001. 1 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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