Ehsan Sharifi

1.4k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Ehsan Sharifi is a scholar working on Atmospheric Science, Global and Planetary Change and Strategy and Management. According to data from OpenAlex, Ehsan Sharifi has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 4 papers in Strategy and Management. Recurrent topics in Ehsan Sharifi's work include Precipitation Measurement and Analysis (11 papers), Meteorological Phenomena and Simulations (11 papers) and Climate variability and models (8 papers). Ehsan Sharifi is often cited by papers focused on Precipitation Measurement and Analysis (11 papers), Meteorological Phenomena and Simulations (11 papers) and Climate variability and models (8 papers). Ehsan Sharifi collaborates with scholars based in Iran, Austria and Germany. Ehsan Sharifi's co-authors include Bahram Saghafian, Reinhold Steinacker, Nguyễn Thị Thùy Linh, Quoc Bao Pham, Romulus Costache, Matej Vojtek, Jana Vojteková, Đào Nguyên Khôi, Sani I. Abba and Pham Thi Thao Nhi and has published in prestigious journals such as Journal of Hydrology, International Journal of Remote Sensing and Sustainability.

In The Last Decade

Ehsan Sharifi

24 papers receiving 1.0k citations

Hit Papers

Assessment of GPM-IMERG and Other Precipitation Products ... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehsan Sharifi Iran 14 658 632 255 239 45 26 1.1k
Yanhong Guo China 15 381 0.6× 377 0.6× 62 0.2× 259 1.1× 205 4.6× 57 1.1k
David Meyer United States 14 266 0.4× 275 0.4× 260 1.0× 38 0.2× 75 1.7× 40 879
Onuwa Okwuashi Nigeria 17 336 0.5× 136 0.2× 149 0.6× 182 0.8× 30 0.7× 40 913
T. Thomas India 16 603 0.9× 99 0.2× 257 1.0× 389 1.6× 15 0.3× 50 937
Thomas Lees United Kingdom 11 554 0.8× 204 0.3× 316 1.2× 380 1.6× 6 0.1× 20 841
Lei Jiang China 15 504 0.8× 87 0.1× 127 0.5× 177 0.7× 12 0.3× 54 1.1k
Kaiwen Wang China 15 274 0.4× 126 0.2× 130 0.5× 298 1.2× 15 0.3× 37 655
Nicholas C. Matalas United States 16 545 0.8× 133 0.2× 93 0.4× 367 1.5× 10 0.2× 26 1.0k

Countries citing papers authored by Ehsan Sharifi

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Sharifi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Sharifi

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Sharifi. A scholar is included among the top collaborators of Ehsan Sharifi 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 Ehsan Sharifi. Ehsan Sharifi 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.
Sharifi, Ehsan, Julian Haas, Eva Boergens, Henryk Dobslaw, & Andreas Güntner. (2025). Technical note: GRACE-compatible filtering of water storage data sets via spatial autocorrelation analysis. Hydrology and earth system sciences. 29(23). 6985–6998.
2.
3.
Alsafadi, Karam, Shuoben Bi, Bashar Bashir, et al.. (2023). High-Resolution Precipitation Modeling in Complex Terrains Using Hybrid Interpolation Techniques: Incorporating Physiographic and MODIS Cloud Cover Influences. Remote Sensing. 15(9). 2435–2435. 8 indexed citations
4.
Sharifi, Ehsan, et al.. (2022). Downscaling WGHM-Based Groundwater Storage Using Random Forest Method: A Regional Study over Qazvin Plain, Iran. Hydrology. 9(10). 179–179. 6 indexed citations
5.
Ahmadi‐Givi, Farhang, et al.. (2021). Evaluation of satellite/reanalysis precipitation products over Iran. International Journal of Remote Sensing. 42(9). 3474–3497. 28 indexed citations
7.
Sahoo, Satiprasad, Quoc Bao Pham, Ehsan Sharifi, et al.. (2021). Recognition of district-wise groundwater stress zones using the GLDAS-2 catchment land surface model during lean season in the Indian state of West Bengal. Acta Geophysica. 69(1). 175–198. 26 indexed citations
8.
Kolluru, Venkatesh, Nir Y. Krakauer, Ehsan Sharifi, & H. Ramesh. (2020). Evaluating the Performance of Secondary Precipitation Products through Statistical and Hydrological Modeling in a Mountainous Tropical Basin of India. Advances in Meteorology. 2020. 1–23. 20 indexed citations
10.
Sharifi, Ehsan, et al.. (2019). Optimized Artificial Neural Networks-Based Methods for Statistical Downscaling of Gridded Precipitation Data. Water. 11(8). 1653–1653. 24 indexed citations
11.
Sharifi, Ehsan, Bahram Saghafian, & Reinhold Steinacker. (2019). Copula-based stochastic uncertainty analysis of satellite precipitation products. Journal of Hydrology. 570. 739–754. 23 indexed citations
12.
Saghafian, Bahram, et al.. (2019). Assessment of Precipitation Estimation from the NWP Models and Satellite Products for the Spring 2019 Severe Floods in Iran. Remote Sensing. 11(23). 2741–2741. 22 indexed citations
13.
Costache, Romulus, Quoc Bao Pham, Ehsan Sharifi, et al.. (2019). Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques. Remote Sensing. 12(1). 106–106. 209 indexed citations
14.
Sharifi, Ehsan, Bahram Saghafian, & Reinhold Steinacker. (2018). Bias Correction of Satellite Precipitation Products based on Concept of Copula. Publication Database GFZ (GFZ German Research Centre for Geosciences). 9844. 2 indexed citations
15.
Sharifi, Ehsan, Reinhold Steinacker, & Bahram Saghafian. (2018). Multi time-scale evaluation of high-resolution satellite-based precipitation products over northeast of Austria. Atmospheric Research. 206. 46–63. 76 indexed citations
17.
Sharifi, Ehsan, et al.. (2017). Hourly Comparison of GPM-IMERG-Final-Run and IMERG-Real-Time (V-03) over a Dense Surface Network in Northeastern Austria. Publication Database GFZ (GFZ German Research Centre for Geosciences). 1949. 2 indexed citations
18.
Sharifi, Ehsan, Reinhold Steinacker, & Bahram Saghafian. (2016). Data Analysis of GPM Constellation Satellites-IMERG and ERA-Interim precipitation products over West of Iran. Publication Database GFZ (GFZ German Research Centre for Geosciences). 1 indexed citations
19.
Sharifi, Ehsan, Reinhold Steinacker, & Bahram Saghafian. (2016). Assessment of GPM-IMERG and Other Precipitation Products against Gauge Data under Different Topographic and Climatic Conditions in Iran: Preliminary Results. Remote Sensing. 8(2). 135–135. 318 indexed citations breakdown →
20.
Mirzazadeh, Abolfazl, et al.. (2014). An inventory model with fuzzy deterioration and fully backlogged shortage under inflation. 1(2). 161–171. 5 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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