Ali Danandeh Mehr

4.7k total citations
115 papers, 3.3k citations indexed

About

Ali Danandeh Mehr is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Ali Danandeh Mehr has authored 115 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Global and Planetary Change, 55 papers in Environmental Engineering and 51 papers in Water Science and Technology. Recurrent topics in Ali Danandeh Mehr's work include Hydrological Forecasting Using AI (52 papers), Hydrology and Drought Analysis (44 papers) and Hydrology and Watershed Management Studies (42 papers). Ali Danandeh Mehr is often cited by papers focused on Hydrological Forecasting Using AI (52 papers), Hydrology and Drought Analysis (44 papers) and Hydrology and Watershed Management Studies (42 papers). Ali Danandeh Mehr collaborates with scholars based in Türkiye, Iran and Jordan. Ali Danandeh Mehr's co-authors include Ercan Kahya, Vahid Nourani, Mir Jafar Sadegh Safari, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Ehsan Olyaie, A. Ünal Şorman, Babak Vaheddoost, Bahrudin Hrnjica, Mehdi H. Afshar and Ali Torabi Haghighi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Ali Danandeh Mehr

103 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Danandeh Mehr Türkiye 33 1.8k 1.6k 1.4k 416 346 115 3.3k
Yuk Feng Huang Malaysia 35 1.8k 1.0× 1.9k 1.2× 1.4k 1.0× 443 1.1× 487 1.4× 152 3.8k
Anurag Malik India 40 2.0k 1.2× 1.9k 1.1× 1.5k 1.0× 436 1.0× 480 1.4× 122 3.8k
Babak Mohammadi Sweden 32 1.5k 0.9× 1.3k 0.8× 1.0k 0.7× 458 1.1× 521 1.5× 85 2.9k
Ahmad Sharafati Iran 32 1.5k 0.8× 1.4k 0.9× 1.4k 1.0× 238 0.6× 304 0.9× 137 3.5k
Shie‐Yui Liong Singapore 31 1.7k 1.0× 1.5k 0.9× 1.4k 1.0× 327 0.8× 393 1.1× 77 3.3k
Nguyễn Thị Thùy Linh Vietnam 37 1.5k 0.9× 2.4k 1.4× 1.5k 1.1× 170 0.4× 275 0.8× 85 3.9k
Alireza Moghaddam Nia Iran 24 1.4k 0.8× 1.0k 0.6× 1.1k 0.8× 250 0.6× 282 0.8× 52 2.3k
Mohsen Sherif United Arab Emirates 35 2.1k 1.2× 727 0.4× 1.2k 0.8× 259 0.6× 273 0.8× 166 3.8k
Mehmet Özger Türkiye 29 1.2k 0.7× 1.2k 0.7× 720 0.5× 286 0.7× 177 0.5× 88 2.7k
Bahram Choubin Iran 35 2.1k 1.2× 2.6k 1.6× 2.0k 1.4× 186 0.4× 357 1.0× 58 4.8k

Countries citing papers authored by Ali Danandeh Mehr

Since Specialization
Citations

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

Fields of papers citing papers by Ali Danandeh Mehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Danandeh Mehr

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Danandeh Mehr. A scholar is included among the top collaborators of Ali Danandeh Mehr 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 Danandeh Mehr. Ali Danandeh Mehr 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.
2.
Ilyas, Muhammad, et al.. (2025). Modeling meteorological drought across scales with regional and global climate indicators. Theoretical and Applied Climatology. 156(12). 1 indexed citations
3.
Niaz, Rizwan, et al.. (2025). Assessing seasonal drought persistence using a Bayesian logistic regression approach. Physics and Chemistry of the Earth Parts A/B/C. 142. 104253–104253.
4.
Çelebi, Ahmet, et al.. (2025). Impact of Land Use Change on Lake Pollution Dynamics: A Case Study of Sapanca Lake, Turkey. Water. 17(2). 182–182. 3 indexed citations
5.
Mehr, Ali Danandeh, Sadra Shadkani, Laith Abualigah, Mir Jafar Sadegh Safari, & Hazem Migdady. (2024). A novel stabilized artificial neural network model enhanced by variational mode decomposing. Heliyon. 10(13). e34142–e34142. 6 indexed citations
6.
Mehr, Ali Danandeh, et al.. (2023). A New Multi-Objective Genetic Programming Model for Meteorological Drought Forecasting. Water. 15(20). 3602–3602. 17 indexed citations
7.
Mehr, Ali Danandeh, et al.. (2023). GTAR: a new ensemble evolutionary autoregressive approach to model dissolved organic carbon. Journal of Water Supply Research and Technology—AQUA. 2 indexed citations
8.
Fathian, Farshad, et al.. (2023). Regional classification of extreme droughts across Iran. Acta Geophysica. 72(5). 3485–3509. 1 indexed citations
9.
Rosbjerg, Dan, et al.. (2022). Nordic contributions to stochastic methods in hydrology. Hydrology research. 53(6). 840–866.
10.
Mehr, Ali Danandeh, et al.. (2021). A gradient boosting tree approach for SPEI classification and prediction in Turkey. Hydrological Sciences Journal. 66(11). 1653–1663. 13 indexed citations
11.
Haghighi, Ali Torabi, et al.. (2021). Sea Level Prediction Using Machine Learning. Water. 13(24). 3566–3566. 23 indexed citations
12.
Safari, Mir Jafar Sadegh, Shervin Rahimzadeh Arashloo, & Ali Danandeh Mehr. (2020). Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm. Journal of Hydrology. 587. 125014–125014. 39 indexed citations
13.
Mehr, Ali Danandeh, et al.. (2020). A Novel Fuzzy Random Forest Model for Meteorological Drought Classification and Prediction in Ungauged Catchments. Pure and Applied Geophysics. 177(12). 5993–6006. 19 indexed citations
14.
Mehdizadeh, Saeid, Farshad Ahmadi, Ali Danandeh Mehr, & Mir Jafar Sadegh Safari. (2020). Drought modeling using classic time series and hybrid wavelet-gene expression programming models. Journal of Hydrology. 587. 125017–125017. 60 indexed citations
15.
Mehr, Ali Danandeh. (2020). Seasonal rainfall hindcasting using ensemble multi-stage genetic programming. Theoretical and Applied Climatology. 143(1-2). 461–472. 24 indexed citations
16.
Mehr, Ali Danandeh. (2020). An ensemble genetic programming model for seasonal precipitation forecasting. SN Applied Sciences. 2(11). 13 indexed citations
17.
Mehr, Ali Danandeh, Mir Jafar Sadegh Safari, & Vahid Nourani. (2020). Wavelet Packet-Genetic Programming: A New Model for Meteorological Drought Hindcasting. Teknik Dergi. 32(4). 11029–11050. 23 indexed citations
18.
Mehr, Ali Danandeh & Babak Vaheddoost. (2019). Identification of the trends associated with the SPI and SPEI indices across Ankara, Turkey. Theoretical and Applied Climatology. 139(3-4). 1531–1542. 106 indexed citations
19.
Mehr, Ali Danandeh & Mir Jafar Sadegh Safari. (2019). Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts. Environmental Monitoring and Assessment. 192(1). 25–25. 12 indexed citations
20.
Mehr, Ali Danandeh & A. Ünal Şorman. (2018). AKIM VE SEDIMENT YÜK ÖNGÖRÜMÜ İÇIN DOĞRUSAL GENETIK PROGRAMLAMANIN UYGULANMASI. SHILAP Revista de lepidopterología. 23(2). 323–332. 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.

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