Mohammad Mehrabi

1.1k total citations · 1 hit paper
13 papers, 871 citations indexed

About

Mohammad Mehrabi is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Mechanical Engineering. According to data from OpenAlex, Mohammad Mehrabi has authored 13 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 7 papers in Management, Monitoring, Policy and Law and 4 papers in Mechanical Engineering. Recurrent topics in Mohammad Mehrabi's work include Flood Risk Assessment and Management (7 papers), Landslides and related hazards (7 papers) and Tree Root and Stability Studies (4 papers). Mohammad Mehrabi is often cited by papers focused on Flood Risk Assessment and Management (7 papers), Landslides and related hazards (7 papers) and Tree Root and Stability Studies (4 papers). Mohammad Mehrabi collaborates with scholars based in Iran, Italy and Vietnam. Mohammad Mehrabi's co-authors include Hossein Moayedi, Biswajeet Pradhan, Ahmad Safuan A. Rashid, Mansour Mosallanezhad, Loke Kok Foong, Mu’azu Mohammed Abdullahi, Hoang Nguyen, Bahareh Kalantar, Dieu Tien Bui and Ali Akbar Akhtari and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and Journal of Environmental Management.

In The Last Decade

Mohammad Mehrabi

12 papers receiving 867 citations

Hit Papers

Modification of landslide... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Modification of landslide susceptibility mapping using optimized PSO-ANN technique
    2018 282 citations Hossein Moayedi, Mohammad Mehrabi et al. Engineering With Computers profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Mehrabi Iran 11 396 360 208 139 135 13 871
Weidong Wang China 18 428 1.1× 195 0.5× 456 2.2× 148 1.1× 192 1.4× 81 1.1k
Dong Van Dao Vietnam 12 259 0.7× 278 0.8× 808 3.9× 129 0.9× 147 1.1× 19 1.4k
Zhengjing Ma China 10 287 0.7× 134 0.4× 102 0.5× 152 1.1× 59 0.4× 15 723
Husam Al-Najjar Australia 13 347 0.9× 371 1.0× 121 0.6× 100 0.7× 115 0.9× 23 928
Jiawu Chen China 15 610 1.5× 297 0.8× 177 0.9× 198 1.4× 197 1.5× 26 1.1k
Dheeraj Kumar India 19 180 0.5× 135 0.4× 107 0.5× 146 1.1× 59 0.4× 78 1.0k
Jinhui Li China 19 434 1.1× 183 0.5× 761 3.7× 338 2.4× 209 1.5× 51 1.3k
Mansour Mosallanezhad Iran 17 209 0.5× 104 0.3× 724 3.5× 364 2.6× 117 0.9× 28 1.1k
Xinzhi Zhou China 13 750 1.9× 502 1.4× 193 0.9× 212 1.5× 156 1.2× 18 1.2k
Kuan-Tsung Chang Taiwan 10 313 0.8× 224 0.6× 279 1.3× 61 0.4× 78 0.6× 29 707

Countries citing papers authored by Mohammad Mehrabi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Mehrabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Mehrabi

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

All Works

13 of 13 papers shown
1.
Mehrabi, Mohammad, David A. Polya, & Yang Han. (2025). Machine Learning Models of the Geospatial Distribution of Groundwater Quality: A Systematic Review. Water. 17(19). 2861–2861.
2.
Mehrabi, Mohammad, Marco Scaioni, & M. Previtali. (2023). Air quality monitoring in Ukraine during 2022 military conflict using Sentinel-5P imagery. Air Quality Atmosphere & Health. 17(5). 931–952. 5 indexed citations
3.
Mehrabi, Mohammad, Marco Scaioni, & M. Previtali. (2023). Forecasting Air Quality in Kiev During 2022 Military Conflict Using Sentinel 5P and Optimized Machine Learning. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–10. 13 indexed citations
4.
Mehrabi, Mohammad, et al.. (2023). Spatial mapping of gully erosion susceptibility using an efficient metaheuristic neural network. Environmental Earth Sciences. 82(20). 11 indexed citations
5.
Nalivan, Omid Asadi, et al.. (2022). A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran. Stochastic Environmental Research and Risk Assessment. 37(5). 1821–1838. 13 indexed citations
6.
Mehrabi, Mohammad. (2021). Landslide susceptibility zonation using statistical and machine learning approaches in Northern Lecco, Italy. Natural Hazards. 111(1). 901–937. 40 indexed citations
7.
Mehrabi, Mohammad & Hossein Moayedi. (2021). Landslide susceptibility mapping using artificial neural network tuned by metaheuristic algorithms. Environmental Earth Sciences. 80(24). 61 indexed citations
8.
Moayedi, Hossein, Mohammad Mehrabi, Dieu Tien Bui, Biswajeet Pradhan, & Loke Kok Foong. (2020). Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility. Journal of Environmental Management. 260. 109867–109867. 126 indexed citations
9.
Mehrabi, Mohammad, Biswajeet Pradhan, Hossein Moayedi, & Abdullah Alamri. (2020). Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques. Sensors. 20(6). 1723–1723. 79 indexed citations
10.
Moayedi, Hossein, Mohammad Mehrabi, Bahareh Kalantar, et al.. (2019). Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide. Geomatics Natural Hazards and Risk. 10(1). 1879–1911. 80 indexed citations
11.
Nguyen, Hoang, Mohammad Mehrabi, Bahareh Kalantar, Hossein Moayedi, & Mu’azu Mohammed Abdullahi. (2019). Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping. Geomatics Natural Hazards and Risk. 10(1). 1667–1693. 93 indexed citations
12.
Moayedi, Hossein, Mohammad Mehrabi, Mansour Mosallanezhad, Ahmad Safuan A. Rashid, & Biswajeet Pradhan. (2018). Modification of landslide susceptibility mapping using optimized PSO-ANN technique. Engineering With Computers. 35(3). 967–984. 282 indexed citations breakdown →
13.
Mehrabi, Mohammad, et al.. (2018). Novel approach for dam break flow modeling using computational intelligence. Journal of Hydrology. 559. 1028–1038. 68 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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