Fatemeh Falah

1.3k total citations
11 papers, 868 citations indexed

About

Fatemeh Falah is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Fatemeh Falah has authored 11 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 6 papers in Water Science and Technology and 5 papers in Environmental Engineering. Recurrent topics in Fatemeh Falah's work include Flood Risk Assessment and Management (9 papers), Hydrology and Watershed Management Studies (5 papers) and Groundwater and Watershed Analysis (5 papers). Fatemeh Falah is often cited by papers focused on Flood Risk Assessment and Management (9 papers), Hydrology and Watershed Management Studies (5 papers) and Groundwater and Watershed Analysis (5 papers). Fatemeh Falah collaborates with scholars based in Iran, United States and Vietnam. Fatemeh Falah's co-authors include Omid Rahmati, Farnoush Mohammadi, Dieu Tien Bui, Ali Haghizadeh, Ravinesh C. Deo, Hossein Zeinivand, Seyed Amir Naghibi, Trent Biggs, Kavina Dayal and Mahdi Panahi and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Remote Sensing.

In The Last Decade

Fatemeh Falah

11 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatemeh Falah Iran 10 566 462 311 179 133 11 868
Ali Golkarian Iran 12 461 0.8× 501 1.1× 374 1.2× 143 0.8× 84 0.6× 22 835
Adnan Özdemir Türkiye 12 712 1.3× 551 1.2× 316 1.0× 592 3.3× 138 1.0× 19 1.2k
D. Ramakrishnan India 13 355 0.6× 360 0.8× 245 0.8× 141 0.8× 62 0.5× 41 880
Enke Hou China 13 485 0.9× 345 0.7× 247 0.8× 320 1.8× 98 0.7× 54 957
Lijun Chao China 13 474 0.8× 292 0.6× 325 1.0× 83 0.5× 262 2.0× 30 872
Omid Asadi Nalivan Iran 12 369 0.7× 315 0.7× 224 0.7× 101 0.6× 62 0.5× 22 674
Sadhan Malik India 18 835 1.5× 484 1.0× 475 1.5× 293 1.6× 138 1.0× 32 1.2k
A. L. Achu India 18 500 0.9× 342 0.7× 200 0.6× 428 2.4× 82 0.6× 37 975
Ciro Apollonio Italy 16 402 0.7× 202 0.4× 292 0.9× 89 0.5× 85 0.6× 40 816
Meriame Mohajane Morocco 14 480 0.8× 302 0.7× 218 0.7× 165 0.9× 81 0.6× 19 828

Countries citing papers authored by Fatemeh Falah

Since Specialization
Citations

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

Fields of papers citing papers by Fatemeh Falah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatemeh Falah

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

All Works

11 of 11 papers shown
1.
Chen, Yunzhi, Wei Chen, Omid Rahmati, et al.. (2021). Toward the development of deep learning analyses for snow avalanche releases in mountain regions. Geocarto International. 37(25). 7855–7880. 32 indexed citations
2.
Lei, Xinxiang, Wei Chen, Mahdi Panahi, et al.. (2021). Urban flood modeling using deep-learning approaches in Seoul, South Korea. Journal of Hydrology. 601. 126684–126684. 135 indexed citations
3.
Nhu, Viet‐Ha, Omid Rahmati, Fatemeh Falah, et al.. (2020). Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models. Water. 12(4). 985–985. 63 indexed citations
4.
Rahmati, Omid, Omid Ghorbanzadeh, Farnoush Mohammadi, et al.. (2019). Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions. Remote Sensing. 11(24). 2995–2995. 55 indexed citations
5.
Rahmati, Omid, Mahdi Panahi, Zahra Kalantari, et al.. (2019). Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia. The Science of The Total Environment. 718. 134656–134656. 40 indexed citations
6.
Rahmati, Omid, Fatemeh Falah, Kavina Dayal, et al.. (2019). Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia. The Science of The Total Environment. 699. 134230–134230. 136 indexed citations
7.
Rahmati, Omid, Fatemeh Falah, Seyed Amir Naghibi, et al.. (2019). Land subsidence modelling using tree-based machine learning algorithms. The Science of The Total Environment. 672. 239–252. 138 indexed citations
8.
Falah, Fatemeh & Hossein Zeinivand. (2019). GIS-Based Groundwater Potential Mapping in Khorramabad in Lorestan, Iran, using Frequency Ratio (FR) and Weights of Evidence (WoE) Models. Water Resources. 46(5). 679–692. 31 indexed citations
9.
Falah, Fatemeh & Ali Haghizadeh. (2017). Hydrochemical evaluation of river water quality—a case study: Horroud River. Applied Water Science. 7(8). 4725–4733. 7 indexed citations
10.
Falah, Fatemeh, et al.. (2016). Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods. Geocarto International. 32(10). 1069–1089. 74 indexed citations
11.
Falah, Fatemeh, et al.. (2015). Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models. Geocarto International. 1–21. 157 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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