Ali Mirchi

5.1k total citations · 3 hit papers
95 papers, 3.7k citations indexed

About

Ali Mirchi is a scholar working on Water Science and Technology, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Ali Mirchi has authored 95 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Water Science and Technology, 34 papers in Global and Planetary Change and 30 papers in Ocean Engineering. Recurrent topics in Ali Mirchi's work include Hydrology and Watershed Management Studies (33 papers), Water resources management and optimization (29 papers) and Hydrology and Drought Analysis (17 papers). Ali Mirchi is often cited by papers focused on Hydrology and Watershed Management Studies (33 papers), Water resources management and optimization (29 papers) and Hydrology and Drought Analysis (17 papers). Ali Mirchi collaborates with scholars based in United States, United Kingdom and Iran. Ali Mirchi's co-authors include Kaveh Madani, Amir AghaKouchak, David Watkins, Alireza Gohari, Ali Reza Massah Bavani, Sajjad Ahmad, Ali Nazemi, M. Azarderakhsh, H. Norouzi and Jahangir Abedi Koupai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Ali Mirchi

91 papers receiving 3.6k citations

Hit Papers

Water transfer as a solution to water shortage: A fix tha... 2013 2026 2017 2021 2013 2016 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Mirchi United States 29 1.7k 1.4k 1.1k 733 350 95 3.7k
J. Salisbury United States 28 2.4k 1.4× 2.5k 1.8× 1.1k 1.0× 691 0.9× 219 0.6× 69 6.3k
Megan Konar United States 34 2.4k 1.5× 1.1k 0.8× 1.5k 1.4× 1.5k 2.0× 249 0.7× 82 4.5k
Mohamad Hejazi United States 42 3.4k 2.1× 1.9k 1.4× 1.5k 1.4× 1.2k 1.6× 213 0.6× 123 5.5k
Stephanie Eisner Germany 31 3.5k 2.1× 2.3k 1.7× 1.4k 1.3× 1.1k 1.4× 210 0.6× 63 5.6k
Kenneth Strzepek United States 36 2.0k 1.2× 1.6k 1.1× 1.4k 1.3× 519 0.7× 536 1.5× 155 4.8k
Yong Zhao China 37 2.0k 1.2× 2.0k 1.5× 688 0.6× 965 1.3× 105 0.3× 260 4.6k
Siao Sun China 29 1.3k 0.8× 1.7k 1.2× 588 0.5× 1.0k 1.4× 115 0.3× 85 4.2k
Peter Burek Austria 28 2.4k 1.4× 1.8k 1.3× 745 0.7× 635 0.9× 194 0.6× 79 3.9k
D. Wiberg Austria 22 1.9k 1.1× 1.2k 0.9× 901 0.8× 622 0.8× 152 0.4× 37 3.8k
Manuel Pulido-Velázquez Spain 33 2.9k 1.8× 1.2k 0.9× 2.5k 2.3× 822 1.1× 185 0.5× 113 4.6k

Countries citing papers authored by Ali Mirchi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Mirchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Mirchi

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Mirchi. A scholar is included among the top collaborators of Ali Mirchi 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 Ali Mirchi. Ali Mirchi 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.
Arshad, Arfan, Muhammad Shafeeque, Thanh‐Nhan Tran, et al.. (2025). Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century. Journal of Hydrology Regional Studies. 60. 102552–102552. 1 indexed citations
2.
Mirchi, Ali, et al.. (2025). Multi-model ensemble mapping of irrigated areas using remote sensing, machine learning, and ground truth data. Agricultural Water Management. 312. 109416–109416. 3 indexed citations
3.
Mehr, Ali Danandeh, et al.. (2025). Large‐Scale Drought Forecasting in the U.S. Southern Plains Through a Hybrid Cluster‐Based Wavelet‐Machine Learning Approach. Water Resources Research. 61(11). 1 indexed citations
4.
Mirchi, Ali, Vahid Nourani, Jeffrey M. Sadler, et al.. (2024). Stream salinity prediction in data-scarce regions: Application of transfer learning and uncertainty quantification. Journal of Contaminant Hydrology. 266. 104418–104418. 1 indexed citations
5.
Arshad, Arfan, Ali Mirchi, Saleh Taghvaeian, & Amir AghaKouchak. (2024). Downscaled‐GRACE Data Reveal Anthropogenic and Climate‐Induced Water Storage Decline Across the Indus Basin. Water Resources Research. 60(7). 21 indexed citations
6.
7.
Mirchi, Ali, et al.. (2023). Analysis of climatic trends in climate divisions of Oklahoma, USA. Theoretical and Applied Climatology. 154(3-4). 781–795.
8.
Mirchi, Ali, David S. Gutzler, So-Ra Ahn, et al.. (2022). Climate Change Impacts on Agricultural Water Availability in the Middle Rio Grande Basin. JAWRA Journal of the American Water Resources Association. 58(2). 164–184. 11 indexed citations
9.
Alborzi, Aneseh, Ali Nazemi, Ali Mirchi, et al.. (2022). The tale of three floods: From extreme events and cascades of highs to anthropogenic floods. Weather and Climate Extremes. 38. 100495–100495. 12 indexed citations
10.
Sandoval-Solís, Samuel, Luzma Fabiola Nava, J. Pablo Ortiz‐Partida, et al.. (2022). Environmental flows in the Rio Grande - Rio Bravo basin. Ecology and Society. 27(1). 13 indexed citations
11.
Zghibi, Adel, Ali Mirchi, Lahcen Zouhri, et al.. (2022). Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT Model. Water. 14(7). 1177–1177. 17 indexed citations
12.
AghaKouchak, Amir, Ali Mirchi, Kaveh Madani, et al.. (2021). Anthropogenic Drought: Definition, Challenges, and Opportunities. Reviews of Geophysics. 59(2). 240 indexed citations breakdown →
13.
Noori, Roohollah, Mohsen Maghrebi, Ali Mirchi, et al.. (2021). Anthropogenic depletion of Iran’s aquifers. Proceedings of the National Academy of Sciences. 118(25). 137 indexed citations
14.
Mirchi, Ali, et al.. (2019). Modeling Salinity in a Semi-arid Agricultural Watershed Using SWAT-Salt. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
15.
Ahn, So Ra, Shalamu Abudu, Zhuping Sheng, & Ali Mirchi. (2018). Hydrologic impacts of drought-adaptive agricultural water management in a semi-arid river basin: Case of Rincon Valley, New Mexico. Agricultural Water Management. 209. 206–218. 28 indexed citations
16.
Alborzi, Aneseh, Ali Mirchi, Hamed Moftakhari, et al.. (2018). Climate-informed environmental inflows to revive a drying lake facing meteorological and anthropogenic droughts. Environmental Research Letters. 13(8). 84010–84010. 93 indexed citations
17.
Feng, Shuang, et al.. (2018). Value of irrigation water usage in South Florida agriculture. The Science of The Total Environment. 626. 486–496. 14 indexed citations
18.
Chen, Fu, Benxi Liu, Chuntian Cheng, & Ali Mirchi. (2017). Simulation and Regulation of Market Operation in Hydro-Dominated Environment: The Yunnan Case. Water. 9(8). 623–623. 10 indexed citations
20.
Norouzi, H., Amir AghaKouchak, Kaveh Madani, et al.. (2013). Monitoring Changes in Water Resources Systems Using High Resolution Satellite Observations: Application to Lake Urmia. AGU Fall Meeting Abstracts. 2013. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026