Majid Montaseri

861 total citations
49 papers, 701 citations indexed

About

Majid Montaseri is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Majid Montaseri has authored 49 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 23 papers in Water Science and Technology and 18 papers in Ocean Engineering. Recurrent topics in Majid Montaseri's work include Hydrology and Drought Analysis (25 papers), Water resources management and optimization (18 papers) and Hydrology and Watershed Management Studies (15 papers). Majid Montaseri is often cited by papers focused on Hydrology and Drought Analysis (25 papers), Water resources management and optimization (18 papers) and Hydrology and Watershed Management Studies (15 papers). Majid Montaseri collaborates with scholars based in Iran, United Kingdom and Malaysia. Majid Montaseri's co-authors include Adebayo J. Adeloye, Hossein Rezaie, Hadi Sanikhani, Javad Behmanesh, Rizwan Nawaz, Omid Bozorg‐Haddad, Mehdi H. Afshar, Rozi Abdullah, Zahra Hosseini and Reza Sobhani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Water Resources Research.

In The Last Decade

Majid Montaseri

44 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Majid Montaseri Iran 15 475 319 169 167 96 49 701
Ungtae Kim United States 14 300 0.6× 317 1.0× 156 0.9× 209 1.3× 33 0.3× 28 597
Ashok Mishra India 13 281 0.6× 281 0.9× 106 0.6× 183 1.1× 79 0.8× 23 531
Korbinian Breinl Austria 15 564 1.2× 417 1.3× 167 1.0× 78 0.5× 54 0.6× 17 792
Francisco Martín‐Carrasco Spain 12 263 0.6× 322 1.0× 273 1.6× 63 0.4× 56 0.6× 24 537
Bonifacio Fernández Chile 13 386 0.8× 184 0.6× 86 0.5× 91 0.5× 68 0.7× 22 510
Kai Duan China 16 360 0.8× 355 1.1× 131 0.8× 115 0.7× 33 0.3× 43 586
Sandra Mourato Portugal 13 336 0.7× 188 0.6× 54 0.3× 108 0.6× 49 0.5× 25 514
Supiah Shamsudin Malaysia 9 461 1.0× 246 0.8× 68 0.4× 204 1.2× 112 1.2× 25 654
Ashvin K. Gosain India 6 321 0.7× 399 1.3× 96 0.6× 162 1.0× 32 0.3× 9 513
Anoop Valiya Veettil United States 10 337 0.7× 399 1.3× 194 1.1× 218 1.3× 39 0.4× 18 659

Countries citing papers authored by Majid Montaseri

Since Specialization
Citations

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

Fields of papers citing papers by Majid Montaseri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Montaseri

This figure shows the co-authorship network connecting the top 25 collaborators of Majid Montaseri. A scholar is included among the top collaborators of Majid Montaseri 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 Majid Montaseri. Majid Montaseri 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.
Montaseri, Majid, et al.. (2025). Stochastic evaluation of the effect of cross-correlation between precipitation and evapotranspiration on SPEI performance. Journal of Hydrology. 652. 132650–132650. 2 indexed citations
2.
Darvishzadeh, Reza, et al.. (2025). Advanced computational approaches for predicting sunflower yield: Insights from ANN, ANFIS, and GEP in normal and salinity stress environments. PLoS ONE. 20(2). e0319331–e0319331. 1 indexed citations
3.
Montaseri, Majid, et al.. (2024). Enhanced TDS Modeling Using an AI Framework Integrating Grey Wolf Optimization with Kernel Extreme Learning Machine. Water. 16(19). 2818–2818. 3 indexed citations
4.
Sobhani, Reza, et al.. (2021). Development of hydro-social-economic-environmental sustainability index (HSEESI) in integrated water resources management. Environmental Monitoring and Assessment. 193(8). 463–463. 9 indexed citations
5.
Montaseri, Majid, et al.. (2018). New approach in bivariate drought duration and severity analysis. Journal of Hydrology. 559. 166–181. 52 indexed citations
6.
Montaseri, Majid, et al.. (2018). Water quality variations in different climates of Iran: toward modeling total dissolved solid using soft computing techniques. Stochastic Environmental Research and Risk Assessment. 32(8). 2253–2273. 52 indexed citations
7.
Montaseri, Majid, et al.. (2017). Evaluation of Agricultural Crops Water Footprint with Application of Climate Change in Urmia Lake basin. SHILAP Revista de lepidopterología. 4 indexed citations
8.
Rezaie, Hossein, et al.. (2017). The application of multiple linear regression method in reference evapotranspiration trend calculation. Stochastic Environmental Research and Risk Assessment. 32(3). 661–673. 24 indexed citations
9.
Montaseri, Majid, et al.. (2017). Regional analysis and derivation of copula-based drought Severity-Area-Frequency curve in Lake Urmia basin, Iran. Journal of Environmental Management. 206. 134–144. 61 indexed citations
10.
Rezaie, Hossein, et al.. (2017). The effect of reference-condition-based temperature modification on the trend of reference evapotranspiration in arid and semi-arid regions. Agricultural Water Management. 194. 204–213. 6 indexed citations
11.
12.
Montaseri, Majid, et al.. (2016). The performance of SPI and PNPI in analyzing the spatial and temporal trend of dry and wet periods over Iran. Natural Hazards. 86(1). 89–106. 29 indexed citations
13.
Montaseri, Majid, et al.. (2013). EVALUATION OF L-MOMENT AND PPCC METHOD TO DETERMINE THE BEST REGION AL DISTRIBUTION OFMONTHLY RAINFALL DATA: CASE STUDY NORTHWEST OF IRAN. Journal of Urban and Environmental Engineering. 7(2). 247–252. 1 indexed citations
14.
Behmanesh, Javad, et al.. (2013). PREDICTING POTENTIAL EVAPOTRANSPIRATION USING TIME SERIES MODELS (CASE STUDY: URMIA). 27(1). 213–223. 1 indexed citations
15.
Montaseri, Majid, et al.. (2013). EVALUATION OF L-MOMENT AND PPCC METHOD TO DETERMINE THE BEST REGIONAL DISTRIBUTION OF MONTHLY RAINFALL DATA (CASE STUDY: NORTHWEST OF IRAN). Journal of Urban and Environmental Engineering. 247–252. 1 indexed citations
16.
Montaseri, Majid, et al.. (2009). THE PROBABILITY MATRIX METHOD IN DETERMINING THE CONTROL CURVES OF OPERATION OF THE RESERVOIRS OF DAMS AND THEIR COMPARISON TO THE SPA METHOD. 16(1). 221–230.
17.
Montaseri, Majid, et al.. (2008). Uncertainty Analysis of Reservoir Sedimentation Using Latin Hypercube Sampling and Harr's Method: Shahar Chai Dam in Iran. 47(1). 25. 3 indexed citations
18.
Montaseri, Majid, et al.. (2008). Flood Estimation at Ungauged Sites Using a New Hybrid Model. Journal of Applied Sciences. 8(9). 1744–1749. 9 indexed citations
19.
Adeloye, Adebayo J. & Majid Montaseri. (2001). Quantifying the water resources benefits of integrated reservoir planning. IAHS-AISH publication. 272(272). 229–235. 1 indexed citations
20.
Montaseri, Majid, et al.. (1970). بررسی تأثیر تابع توزیع و روش برآورد تبخیر-تعرق پتانسیل در تعیین شاخص شناسایی خشکسالی. SHILAP Revista de lepidopterología. 40(1). 167–183. 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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