Isaac Moradi

1.3k total citations
40 papers, 853 citations indexed

About

Isaac Moradi is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Isaac Moradi has authored 40 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 7 papers in Artificial Intelligence. Recurrent topics in Isaac Moradi's work include Meteorological Phenomena and Simulations (26 papers), Climate variability and models (14 papers) and Precipitation Measurement and Analysis (14 papers). Isaac Moradi is often cited by papers focused on Meteorological Phenomena and Simulations (26 papers), Climate variability and models (14 papers) and Precipitation Measurement and Analysis (14 papers). Isaac Moradi collaborates with scholars based in United States, Sweden and United Kingdom. Isaac Moradi's co-authors include Ralph Ferraro, Ali Khalili, Will McCarty, Phillip A. Arkin, Huan Meng, Richard Mueller, Patrick Eriksson, Stefan A. Buehler, Brian J. Soden and Benjamin T. Johnson and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing and Monthly Weather Review.

In The Last Decade

Isaac Moradi

37 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isaac Moradi United States 15 371 353 338 297 107 40 853
A. Zelenka Switzerland 12 728 2.0× 250 0.7× 438 1.3× 429 1.4× 94 0.9× 19 990
C. N. Long United States 5 289 0.8× 285 0.8× 414 1.2× 104 0.4× 68 0.6× 9 734
Gerhard Gesell Germany 10 274 0.7× 368 1.0× 417 1.2× 108 0.4× 74 0.7× 31 681
Christelle Rigollier France 4 702 1.9× 98 0.3× 266 0.8× 460 1.5× 88 0.8× 4 788
Guido Müller Switzerland 4 292 0.8× 579 1.6× 701 2.1× 78 0.3× 66 0.6× 5 885
Bella Espinar France 11 797 2.1× 173 0.5× 375 1.1× 479 1.6× 99 0.9× 12 937
K. Dehne Australia 4 241 0.6× 540 1.5× 632 1.9× 80 0.3× 64 0.6× 5 806
Tara Jensen United States 15 134 0.4× 739 2.1× 719 2.1× 56 0.2× 65 0.6× 34 973
J. Sharp United States 14 208 0.6× 283 0.8× 241 0.7× 124 0.4× 109 1.0× 30 715
Alain Heimo Switzerland 7 283 0.8× 773 2.2× 868 2.6× 70 0.2× 78 0.7× 13 1.1k

Countries citing papers authored by Isaac Moradi

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Moradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaac Moradi

This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Moradi. A scholar is included among the top collaborators of Isaac Moradi 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 Isaac Moradi. Isaac Moradi 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.
Moradi, Isaac, Satya Kalluri, & Yanqiu Zhu. (2026). Forward modeling of spaceborne radar observations. Atmospheric measurement techniques. 19(2). 549–563.
2.
Johnson, Benjamin T., et al.. (2025). The CRTM transmittance coefficient package. Journal of Quantitative Spectroscopy and Radiative Transfer. 336. 109380–109380.
3.
McGrath‐Spangler, E. L., et al.. (2024). Using OSSEs to Evaluate GXS Impact in the Context of International Coordination. Journal of Atmospheric and Oceanic Technology. 41(3). 261–278. 2 indexed citations
4.
Johnson, Benjamin T., et al.. (2023). The Community Radiative Transfer Model (CRTM): Community-Focused Collaborative Model Development Accelerating Research to Operations. Bulletin of the American Meteorological Society. 104(10). E1817–E1830. 14 indexed citations
5.
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
6.
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
7.
Privé, Nikki C., et al.. (2023). Robustness of Observing System Simulation Experiments. Tellus A Dynamic Meteorology and Oceanography. 75(1). 309–333. 2 indexed citations
8.
Gambacorta, Antonia, Jeffrey R. Piepmeier, Mark Stephen, et al.. (2023). Deep Neural Networks For Evaluating Future Satellite-Based Hyperspectral Microwave Sensor Designs. 5210–5213. 1 indexed citations
9.
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
10.
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
11.
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
12.
Moradi, Isaac, Mitchell D. Goldberg, Manfred Brath, et al.. (2020). Performance of Radiative Transfer Models in the Microwave Region. Journal of Geophysical Research Atmospheres. 125(6). 18 indexed citations
13.
Moradi, Isaac, James Beauchamp, & Ralph Ferraro. (2018). Radiometric correction of observations from microwave humidity sounders. Atmospheric measurement techniques. 11(12). 6617–6626. 3 indexed citations
14.
Moradi, Isaac, Phillip A. Arkin, Ralph Ferraro, Patrick Eriksson, & Eric J. Fetzer. (2016). Diurnal variation of tropospheric relative humidity in tropical regions. Atmospheric chemistry and physics. 16(11). 6913–6929. 16 indexed citations
15.
Moradi, Isaac, et al.. (2015). The Effects of Noise Exposure on Rat’s Hematologic Parameters and Red Cell Indi-ces. Iranian journal of medical sciences. 27(2). 85–86. 2 indexed citations
16.
Moradi, Isaac, Ralph Ferraro, Patrick Eriksson, & Fuzhong Weng. (2015). Intercalibration and Validation of Observations From ATMS and SAPHIR Microwave Sounders. IEEE Transactions on Geoscience and Remote Sensing. 53(11). 5915–5925. 21 indexed citations
17.
Moradi, Isaac, Ralph Ferraro, Brian J. Soden, Patrick Eriksson, & Phillip A. Arkin. (2015). Retrieving Layer-Averaged Tropospheric Humidity From Advanced Technology Microwave Sounder Water Vapor Channels. IEEE Transactions on Geoscience and Remote Sensing. 53(12). 6675–6688. 9 indexed citations
18.
Seidel, Dian J., Jian Li, C. A. Mears, et al.. (2015). Stratospheric temperature changes during the satellite era. Journal of Geophysical Research Atmospheres. 121(2). 664–681. 42 indexed citations
19.
Moradi, Isaac, et al.. (2012). Developing climate data records from microwave satellite data. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
20.
Moradi, Isaac. (2008). Quality control of global solar radiation using sunshine duration hours. Energy. 34(1). 1–6. 122 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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