Mohammad Ali Ghorbani

3.8k total citations
85 papers, 3.0k citations indexed

About

Mohammad Ali Ghorbani is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Mohammad Ali Ghorbani has authored 85 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Environmental Engineering, 35 papers in Water Science and Technology and 31 papers in Global and Planetary Change. Recurrent topics in Mohammad Ali Ghorbani's work include Hydrological Forecasting Using AI (53 papers), Hydrology and Watershed Management Studies (27 papers) and Energy Load and Power Forecasting (14 papers). Mohammad Ali Ghorbani is often cited by papers focused on Hydrological Forecasting Using AI (53 papers), Hydrology and Watershed Management Studies (27 papers) and Energy Load and Power Forecasting (14 papers). Mohammad Ali Ghorbani collaborates with scholars based in Iran, India and Türkiye. Mohammad Ali Ghorbani's co-authors include Rahman Khatibi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mahsa Hasanpour Kashani, Vahid Karimi, Babak Mohammadi, Özgür Kişi, Özlem Terzi, Ravinesh C. Deo, Sungwon Kim and Jalal Shiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Mohammad Ali Ghorbani

83 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Ali Ghorbani Iran 35 1.8k 1.0k 1.0k 470 448 85 3.0k
Babak Mohammadi Sweden 32 1.5k 0.9× 1.3k 1.3× 1.0k 1.0× 521 1.1× 458 1.0× 85 2.9k
Yuk Feng Huang Malaysia 35 1.8k 1.0× 1.9k 1.9× 1.4k 1.4× 487 1.0× 443 1.0× 152 3.8k
Anurag Malik India 40 2.0k 1.2× 1.9k 1.8× 1.5k 1.5× 480 1.0× 436 1.0× 122 3.8k
Sungwon Kim South Korea 34 2.0k 1.1× 1.2k 1.1× 1.3k 1.2× 801 1.7× 622 1.4× 121 3.4k
Shie‐Yui Liong Singapore 31 1.7k 1.0× 1.5k 1.4× 1.4k 1.4× 393 0.8× 327 0.7× 77 3.3k
Salim Heddam Algeria 39 2.5k 1.4× 1.1k 1.1× 2.1k 2.1× 821 1.7× 534 1.2× 175 4.4k
Ali Danandeh Mehr Türkiye 33 1.8k 1.0× 1.6k 1.6× 1.4k 1.4× 346 0.7× 416 0.9× 115 3.3k
Gwo‐Fong Lin Taiwan 30 1.3k 0.7× 1.3k 1.2× 873 0.9× 246 0.5× 247 0.6× 97 2.6k
Rana Muhammad Adnan China 30 1.6k 0.9× 1.1k 1.1× 1.3k 1.3× 450 1.0× 491 1.1× 71 2.7k
Ahmad Sharafati Iran 32 1.5k 0.8× 1.4k 1.4× 1.4k 1.4× 304 0.6× 238 0.5× 137 3.5k

Countries citing papers authored by Mohammad Ali Ghorbani

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ali Ghorbani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Ali Ghorbani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali Ghorbani. A scholar is included among the top collaborators of Mohammad Ali Ghorbani 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 Ali Ghorbani. Mohammad Ali Ghorbani 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.
Ali, Mumtaz, et al.. (2025). Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory. Ecological Informatics. 85. 102995–102995. 6 indexed citations
2.
Ali, Mumtaz, et al.. (2024). Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models. Groundwater for Sustainable Development. 26. 101213–101213. 12 indexed citations
3.
Pishbahar, Esmaeil, et al.. (2024). The potential role of a carbon tax on CO2 emission reduction in the agriculture sector of Iran. International Journal of Environmental Science and Technology. 21(10). 6965–6980. 5 indexed citations
4.
Singh, Vijay Kumar, Dinesh Kumar Vishwakarma, Mohammad Ali Ghorbani, et al.. (2024). A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration. Scientific Reports. 14(1). 10638–10638. 18 indexed citations
5.
Ghorbani, Mohammad Ali, et al.. (2024). The Taylor Diagram with Distance: A New Way to Compare the Performance of Models. Iranian Journal of Science and Technology Transactions of Civil Engineering. 49(1). 305–321. 4 indexed citations
6.
Sammen, Saad Sh., Özgür Kişi, Mohammad Ehteram, et al.. (2023). Rainfall modeling using two different neural networks improved by metaheuristic algorithms. Environmental Sciences Europe. 35(1). 9 indexed citations
7.
Ghorbani, Mohammad Ali, Sujay Raghavendra Naganna, Sungwon Kim, et al.. (2022). Integration of Multiple Models with Hybrid Artificial Neural Network‐Genetic Algorithm for Soil Cation‐Exchange Capacity Prediction. Complexity. 2022(1). 3 indexed citations
8.
Fard, Ahmad Fakheri, et al.. (2020). Trend Analysis of the Streamflow in the Lighvan River hydrometric Stations (Upstream and Downstream). Journal of watershed management research. 11(22). 11–19. 1 indexed citations
9.
Shamshirband, Shahaboddin, Davoud Zarehaghi, Saeed Samadianfard, et al.. (2020). Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths. Engineering Applications of Computational Fluid Mechanics. 14(1). 939–953. 41 indexed citations
10.
Sammen, Saad Sh., Mohammad Ali Ghorbani, Anurag Malik, et al.. (2020). Enhanced Artificial Neural Network with Harris Hawks Optimization for Predicting Scour Depth Downstream of Ski-Jump Spillway. Applied Sciences. 10(15). 5160–5160. 68 indexed citations
11.
12.
Karimi, Vahid, et al.. (2020). Groundwater Potential Mapping using Index of Entropy and Naïve Bayes Models at Ardabil Plain. Journal of watershed management research. 11(22). 273–286. 3 indexed citations
13.
Ghorbani, Mohammad Ali, Rahman Khatibi, Vijay P. Singh, et al.. (2020). Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning. Scientific Reports. 10(1). 8589–8589. 21 indexed citations
14.
Ghorbani, Mohammad Ali, et al.. (2019). Uncertainty of Artificial Neural Networks for Daily Evaporation Prediction (Case Study: Rasht and Manjil Stations). Journal of watershed management research. 10(19). 1–12. 4 indexed citations
15.
Ghorbani, Mohammad Ali, et al.. (2018). Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran. Engineering Applications of Computational Fluid Mechanics. 12(1). 724–737. 117 indexed citations
16.
Mehr, Ali Danandeh, Vahid Nourani, Vahid Karimi, & Mohammad Ali Ghorbani. (2018). A hybrid support vector regression–firefly model for monthly rainfall forecasting. International Journal of Environmental Science and Technology. 16(1). 335–346. 95 indexed citations
17.
Ghorbani, Mohammad Ali, et al.. (2013). Estimation of hydraulic jump on corrugated bed using artificial neural networks and genetic programming. SHILAP Revista de lepidopterología. 20 indexed citations
18.
Salmasi, Farzin, Rahman Khatibi, & Mohammad Ali Ghorbani. (2012). A study of friction factor formulation in pipes using artificial intelligence techniques and explicit equations. DergiPark (Istanbul University). 20 indexed citations
19.
Dinpashoh, Yagob, et al.. (2012). Trend Analysis of Streamflows in East Azarbayjan Province. SHILAP Revista de lepidopterología.
20.
Fard, Ahmad Fakheri, et al.. (2012). River Flow Forecasting using Wavelet Analysis. SHILAP Revista de lepidopterología. 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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