Majid Dehghani

1.6k total citations
27 papers, 1.2k citations indexed

About

Majid Dehghani is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Majid Dehghani has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Environmental Engineering, 17 papers in Water Science and Technology and 14 papers in Global and Planetary Change. Recurrent topics in Majid Dehghani's work include Hydrological Forecasting Using AI (18 papers), Hydrology and Watershed Management Studies (16 papers) and Hydrology and Drought Analysis (9 papers). Majid Dehghani is often cited by papers focused on Hydrological Forecasting Using AI (18 papers), Hydrology and Watershed Management Studies (16 papers) and Hydrology and Drought Analysis (9 papers). Majid Dehghani collaborates with scholars based in Iran, Vietnam and Hungary. Majid Dehghani's co-authors include Amir Mosavi, Hossien Riahi-Madvar, Akram Seifi, Bahram Saghafian, Shahaboddin Shamshirband, Vijay P. Singh, Roohollah Noori, Ashkan Farokhnia, Kwok‐wing Chau and Annamária R. Várkonyi-Kóczy and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Energy Conversion and Management.

In The Last Decade

Majid Dehghani

27 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Majid Dehghani Iran 20 543 527 474 181 118 27 1.2k
Sadeq Oleiwi Sulaiman Iraq 18 591 1.1× 542 1.0× 359 0.8× 122 0.7× 165 1.4× 43 1.2k
Mohammad Taghi Aalami Iran 15 662 1.2× 582 1.1× 297 0.6× 117 0.6× 114 1.0× 42 1.1k
Halit Apaydın Türkiye 16 537 1.0× 447 0.8× 511 1.1× 162 0.9× 148 1.3× 53 1.1k
Mohammad Taghi Alami Iran 15 682 1.3× 463 0.9× 356 0.8× 152 0.8× 122 1.0× 29 1.0k
Ashkan Farokhnia Iran 13 574 1.1× 530 1.0× 381 0.8× 89 0.5× 68 0.6× 24 1.0k
Fabio Di Nunno Italy 21 879 1.6× 687 1.3× 637 1.3× 143 0.8× 133 1.1× 72 1.5k
Renji Remesan United Kingdom 19 543 1.0× 527 1.0× 626 1.3× 162 0.9× 232 2.0× 52 1.3k
Mohammad Taghi Sattari Iran 21 858 1.6× 650 1.2× 689 1.5× 206 1.1× 228 1.9× 68 1.6k
Aida Hosseini Baghanam Iran 13 815 1.5× 594 1.1× 567 1.2× 197 1.1× 120 1.0× 31 1.2k
Bogdan Ozga-Zieliński Poland 12 716 1.3× 544 1.0× 641 1.4× 200 1.1× 116 1.0× 22 1.3k

Countries citing papers authored by Majid Dehghani

Since Specialization
Citations

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

Fields of papers citing papers by Majid Dehghani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Dehghani

This figure shows the co-authorship network connecting the top 25 collaborators of Majid Dehghani. A scholar is included among the top collaborators of Majid Dehghani 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 Dehghani. Majid Dehghani 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.
Zadeh, Hossein Ghayoumi, et al.. (2023). Predicting Hydropower Production Using Deep Learning CNN-ANN Hybridized with Gaussian Process Regression and Salp Algorithm. Water Resources Management. 37(9). 3671–3697. 10 indexed citations
2.
Zhang, Qian, Shahab S. Band, Majid Dehghani, et al.. (2022). Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models. Engineering Applications of Computational Fluid Mechanics. 16(1). 1364–1381. 26 indexed citations
3.
Nabipour, Narjes, Majid Dehghani, Amir Mosavi, & Shahaboddin Shamshirband. (2020). Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks. IEEE Access. 8. 15210–15222. 66 indexed citations
4.
Riahi-Madvar, Hossien, et al.. (2020). Derivation of Optimized Equations for Estimation of Dispersion Coefficient in Natural Streams Using Hybridized ANN With PSO and CSO Algorithms. IEEE Access. 8. 156582–156599. 27 indexed citations
5.
Riahi-Madvar, Hossien, Majid Dehghani, Kulwinder Singh Parmar, Narjes Nabipour, & Shahaboddin Shamshirband. (2020). Improvements in the Explicit Estimation of Pollutant Dispersion Coefficient in Rivers by Subset Selection of Maximum Dissimilarity Hybridized With ANFIS-Firefly Algorithm (FFA). IEEE Access. 8. 60314–60337. 14 indexed citations
6.
Dehghani, Majid, et al.. (2020). Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices. ISPRS International Journal of Geo-Information. 9(2). 73–73. 38 indexed citations
7.
Dehghani, Majid, et al.. (2020). A novel approach for longitudinal dispersion coefficient estimation via tri-variate archimedean copulas. Journal of Hydrology. 584. 124662–124662. 7 indexed citations
8.
Zadeh, Hossein Ghayoumi, et al.. (2020). A novel equation for longitudinal dispersion coefficient prediction based on the hybrid of SSMD and whale optimization algorithm. The Science of The Total Environment. 716. 137007–137007. 26 indexed citations
9.
Ardabili, Sina, Amir Mosavi, Majid Dehghani, & Annamária R. Várkonyi-Kóczy. (2020). Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review. Lecture notes in networks and systems. 52–62. 97 indexed citations
10.
Dehghani, Majid, Hossien Riahi-Madvar, Farhad Hooshyaripor, et al.. (2019). Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System. Energies. 12(2). 289–289. 149 indexed citations
11.
Dehghani, Majid, et al.. (2019). Trend analysis and change point detection of seasonal and annual precipitation in Iran. International Journal of Climatology. 40(1). 308–323. 74 indexed citations
12.
Riahi-Madvar, Hossien, Majid Dehghani, Akram Seifi, & Vijay P. Singh. (2019). Pareto Optimal Multigene Genetic Programming for Prediction of Longitudinal Dispersion Coefficient. Water Resources Management. 33(3). 905–921. 27 indexed citations
13.
Riahi-Madvar, Hossien, Majid Dehghani, Shatirah Akib, Shahaboddin Shamshirband, & Kwok‐wing Chau. (2019). Developing a mathematical framework in preliminary designing of detention rockfill dams for flood peak reduction. Engineering Applications of Computational Fluid Mechanics. 13(1). 1119–1129. 6 indexed citations
14.
Dehghani, Majid, Akram Seifi, & Hossien Riahi-Madvar. (2019). Novel forecasting models for immediate-short-term to long-term influent flow prediction by combining ANFIS and grey wolf optimization. Journal of Hydrology. 576. 698–725. 75 indexed citations
15.
Dehghani, Majid, et al.. (2017). Evaluation of dynamic regression and artificial neural networks models for real-time hydrological drought forecasting. Arabian Journal of Geosciences. 10(12). 23 indexed citations
16.
Noori, Roohollah, et al.. (2017). A simple mathematical model to predict sea surface temperature over the northwest Indian Ocean. Estuarine Coastal and Shelf Science. 197. 236–243. 34 indexed citations
17.
Dehghani, Majid, et al.. (2014). Monthly stream flow forecasting via dynamic spatio-temporal models. Stochastic Environmental Research and Risk Assessment. 29(3). 861–874. 15 indexed citations
18.
Dehghani, Majid, et al.. (2013). Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte‐Carlo simulation. International Journal of Climatology. 34(4). 1169–1180. 124 indexed citations
19.
Dehghani, Majid, et al.. (2010). Recreation Value of Hara Biosphere Reserve using Willingness-to-pay method. International Journal of Environmental Research. 4(2). 271–280. 31 indexed citations
20.
Noori, Roohollah, Abdolreza Karbassi, Ashkan Farokhnia, & Majid Dehghani. (2009). Predicting the Longitudinal Dispersion Coefficient Using Support Vector Machine and Adaptive Neuro-Fuzzy Inference System Techniques. Environmental Engineering Science. 26(10). 1503–1510. 63 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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