Hamed Ashouri

4.1k total citations · 2 hit papers
15 papers, 3.1k citations indexed

About

Hamed Ashouri is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Hamed Ashouri has authored 15 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in Hamed Ashouri's work include Precipitation Measurement and Analysis (14 papers), Meteorological Phenomena and Simulations (12 papers) and Climate variability and models (11 papers). Hamed Ashouri is often cited by papers focused on Precipitation Measurement and Analysis (14 papers), Meteorological Phenomena and Simulations (12 papers) and Climate variability and models (11 papers). Hamed Ashouri collaborates with scholars based in United States, China and Vietnam. Hamed Ashouri's co-authors include Soroosh Sorooshian, Kuolin Hsu, Chiyuan Miao, Qingyun Duan, Qiaohong Sun, Dan Braithwaite, Brian R. Nelson, O. P. Prat, Kenneth R. Knapp and L. DeWayne Cecil and has published in prestigious journals such as Reviews of Geophysics, Bulletin of the American Meteorological Society and Hydrology and earth system sciences.

In The Last Decade

Hamed Ashouri

15 papers receiving 3.1k citations

Hit Papers

A Review of Global Precipitation Data Sets: Data Sources,... 2014 2026 2018 2022 2017 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamed Ashouri United States 11 2.5k 2.4k 715 419 154 15 3.1k
Jiangfeng Wei China 28 1.7k 0.7× 2.0k 0.8× 383 0.5× 499 1.2× 314 2.0× 77 2.5k
Akiyo Yatagai Japan 14 3.0k 1.2× 3.1k 1.3× 804 1.1× 320 0.8× 280 1.8× 19 3.8k
Fredrik Boberg Denmark 23 1.9k 0.8× 2.1k 0.9× 374 0.5× 234 0.6× 170 1.1× 49 2.8k
Bertrand Bonan France 14 1.7k 0.7× 1.9k 0.8× 310 0.4× 467 1.1× 212 1.4× 36 2.5k
Kenji Kamiguchi Japan 11 2.2k 0.9× 2.3k 1.0× 576 0.8× 156 0.4× 261 1.7× 15 2.7k
David A. Lavers United Kingdom 32 3.4k 1.4× 3.9k 1.6× 766 1.1× 212 0.5× 445 2.9× 68 4.4k
Brian R. Nelson United States 18 1.8k 0.7× 1.5k 0.6× 408 0.6× 358 0.9× 120 0.8× 41 2.2k
Mei Zhao Australia 16 866 0.3× 1.2k 0.5× 357 0.5× 318 0.8× 292 1.9× 29 1.5k
Fei Yuan China 31 1.3k 0.5× 2.3k 1.0× 1.5k 2.1× 543 1.3× 80 0.5× 81 3.0k
N. A. Speranskaya Russia 9 1.0k 0.4× 1.1k 0.4× 520 0.7× 796 1.9× 89 0.6× 16 1.8k

Countries citing papers authored by Hamed Ashouri

Since Specialization
Citations

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

Fields of papers citing papers by Hamed Ashouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamed Ashouri

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

All Works

15 of 15 papers shown
1.
Nguyen, Phu, Mohammed Ombadi, Soroosh Sorooshian, et al.. (2018). The PERSIANN Family of Global Satellite Precipitation Data: AReview and Evaluation of Products. Biogeosciences (European Geosciences Union). 6 indexed citations
2.
Nguyen, Phu, Mohammed Ombadi, Soroosh Sorooshian, et al.. (2018). The PERSIANN family of global satellite precipitation data: a review and evaluation of products. Hydrology and earth system sciences. 22(11). 5801–5816. 185 indexed citations
3.
Sun, Qiaohong, Chiyuan Miao, Qingyun Duan, et al.. (2017). A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons. Reviews of Geophysics. 56(1). 79–107. 1351 indexed citations breakdown →
4.
Nguyen, Phu, Andrea Thorstensen, Soroosh Sorooshian, et al.. (2017). Evaluation of CMIP5 Model Precipitation Using PERSIANN-CDR. Journal of Hydrometeorology. 18(9). 2313–2330. 30 indexed citations
5.
Nguyen, Phu, Andrea Thorstensen, Soroosh Sorooshian, et al.. (2017). Global Precipitation Trends across Spatial Scales Using Satellite Observations. Bulletin of the American Meteorological Society. 99(4). 689–697. 51 indexed citations
6.
Ashouri, Hamed, Phu Nguyen, Andrea Thorstensen, et al.. (2016). Assessing the Efficacy of High-Resolution Satellite-Based PERSIANN-CDR Precipitation Product in Simulating Streamflow. Journal of Hydrometeorology. 17(7). 2061–2076. 61 indexed citations
7.
Katiraie‐Boroujerdy, Pari‐Sima, Hamed Ashouri, Kuolin Hsu, & Soroosh Sorooshian. (2016). Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR. Theoretical and Applied Climatology. 130(1-2). 249–260. 43 indexed citations
8.
Nguyen, Phu, Soroosh Sorooshian, Andrea Thorstensen, et al.. (2016). Exploring Trends through “RainSphere”: Research data transformed into public knowledge. Bulletin of the American Meteorological Society. 98(4). 653–658. 11 indexed citations
9.
Sorooshian, Soroosh, Kuolin Hsu, Hamed Ashouri, et al.. (2015). PERSIANN-CDR Daily Precipitation Dataset for Hydrologic Applications and Climate Studies.. AGUFM. 2015. 1 indexed citations
10.
Ashouri, Hamed, et al.. (2015). Assessment of the impacts of nonstationarity on watershed runoff using artificial neural networks: a case study in Ardebil, Iran. Modeling Earth Systems and Environment. 1(3). 10 indexed citations
11.
Ashouri, Hamed, Soroosh Sorooshian, Kuolin Hsu, et al.. (2015). Evaluation of NASA’s MERRA Precipitation Product in Reproducing the Observed Trend and Distribution of Extreme Precipitation Events in the United States. Journal of Hydrometeorology. 17(2). 693–711. 22 indexed citations
12.
Miao, Chiyuan, Hamed Ashouri, Kuolin Hsu, Soroosh Sorooshian, & Qingyun Duan. (2015). Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China. Journal of Hydrometeorology. 16(3). 1387–1396. 242 indexed citations
13.
Ashouri, Hamed, Kuolin Hsu, Soroosh Sorooshian, et al.. (2014). PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies. Bulletin of the American Meteorological Society. 96(1). 69–83. 1058 indexed citations breakdown →
14.
Miao, Chiyuan, Hamed Ashouri, Kuolin Hsu, Soroosh Sorooshian, & Qingyun Duan. (2014). Evaluation of the PERSIANN-CDR daily rainfall estimates in capturing the behavior of extreme precipitation events over China. 2014 AGU Fall Meeting. 2014. 2 indexed citations
15.
Nguyen, Phu, Scott Sellars, Andrea Thorstensen, et al.. (2014). Satellites Track Precipitation of Super Typhoon Haiyan. Eos. 95(16). 133–135. 33 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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