Mohammad Ali Ghorbani

1.8k total citations
34 papers, 1.4k citations indexed

About

Mohammad Ali Ghorbani is a scholar working on Environmental Engineering, Global and Planetary Change and Economics and Econometrics. According to data from OpenAlex, Mohammad Ali Ghorbani has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 16 papers in Global and Planetary Change and 7 papers in Economics and Econometrics. Recurrent topics in Mohammad Ali Ghorbani's work include Hydrological Forecasting Using AI (9 papers), Complex Systems and Time Series Analysis (6 papers) and Hydrology and Drought Analysis (6 papers). Mohammad Ali Ghorbani is often cited by papers focused on Hydrological Forecasting Using AI (9 papers), Complex Systems and Time Series Analysis (6 papers) and Hydrology and Drought Analysis (6 papers). Mohammad Ali Ghorbani collaborates with scholars based in Iran, Cyprus and Türkiye. Mohammad Ali Ghorbani's co-authors include Ravinesh C. Deo, Ali Asghar Jafarzadeh, Farzin Shahbazi, Mahsa Hasanpour Kashani, Javad Seyedmohammadi, Fereydoon Sarmadian, Vahid Karimi, Quoc Bao Pham, Shahaboddin Shamshirband and Nguyễn Thị Thùy Linh and has published in prestigious journals such as Scientific Reports, Journal of Hydrology and Atmospheric Environment.

In The Last Decade

Mohammad Ali Ghorbani

34 papers receiving 1.4k citations

Peers

Mohammad Ali Ghorbani
Changhyun Jun South Korea
Rana Muhammad Adnan Ikram China
Mohammad Ebrahim Banihabib Iran
Paresh Chandra Deka India
Saeed Samadianfard Iran
Mohammad Taghi Sattari Iran
Yuankun Wang China
Sadeq Oleiwi Sulaiman Iraq
Hadi Sanikhani Iran
Vahdettin Demir Türkiye
Changhyun Jun South Korea
Mohammad Ali Ghorbani
Citations per year, relative to Mohammad Ali Ghorbani Mohammad Ali Ghorbani (= 1×) peers Changhyun Jun

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.
Biazar, Seyed Mostafa, Hisham A. Shehadeh, Mohammad Ali Ghorbani, Golmar Golmohammadi, & Amartya Saha. (2024). Soil temperature forecasting using a hybrid artificial neural network in Florida subtropical grazinglands agro-ecosystems. Scientific Reports. 14(1). 1535–1535. 17 indexed citations
2.
Ghorbani, Mohammad Ali, et al.. (2024). Coupling artificial neural network and sperm swarm optimization for soil temperature prediction at multiple depths. Environmental Science and Pollution Research. 31(47). 57903–57919. 1 indexed citations
3.
Ghorbani, Mohammad Ali, et al.. (2023). Nonlinear and periodic dynamics of chaotic hydro-thermal process of Skokomish river. Stochastic Environmental Research and Risk Assessment. 37(7). 2739–2756. 4 indexed citations
4.
Ghorbani, Mohammad Ali, et al.. (2022). Temporal connections in reconstructed monthly rainfall time series in different rainfall regimes of Turkey. Arabian Journal of Geosciences. 15(10). 3 indexed citations
5.
Ghorbani, Mohammad Ali, et al.. (2021). Assessment of spatio-temporal variability of rainfall and mean air temperature over Ardabil province, Iran. SN Applied Sciences. 3(8). 13 indexed citations
6.
7.
Kashani, Mahsa Hasanpour, et al.. (2019). Multiple AI model integration strategy—Application to saturated hydraulic conductivity prediction from easily available soil properties. Soil and Tillage Research. 196. 104449–104449. 46 indexed citations
8.
Kazemi, Seyed Mahmood, et al.. (2018). Novel genetic-based negative correlation learning for estimating soil temperature. Engineering Applications of Computational Fluid Mechanics. 12(1). 506–516. 42 indexed citations
9.
Ghorbani, Mohammad Ali, et al.. (2018). Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity. Soil and Tillage Research. 186. 152–164. 25 indexed citations
10.
Ghorbani, Mohammad Ali, Ravinesh C. Deo, Vahid Karimi, Mahsa Hasanpour Kashani, & Shahryar Ghorbani. (2018). Design and implementation of a hybrid MLP-GSA model with multi-layer perceptron-gravitational search algorithm for monthly lake water level forecasting. Stochastic Environmental Research and Risk Assessment. 33(1). 125–147. 36 indexed citations
11.
Seyedmohammadi, Javad, Fereydoon Sarmadian, Ali Asghar Jafarzadeh, Mohammad Ali Ghorbani, & Farzin Shahbazi. (2017). Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops. Geoderma. 310. 178–190. 171 indexed citations
12.
13.
Ghorbani, Mohammad Ali, et al.. (2017). Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point. Soil and Tillage Research. 172. 32–38. 119 indexed citations
14.
Sadeghfam, Sina, Rahman Khatibi, Yousef Hassanzadeh, Rasoul Daneshfaraz, & Mohammad Ali Ghorbani. (2017). Forced Hydraulic Jumps Described by Classic Hydraulic Equations Reproducing Cusp Catastrophe Features. Arabian Journal for Science and Engineering. 42(9). 4169–4179. 8 indexed citations
15.
Kashani, Mahsa Hasanpour, Mohammad Ali Ghorbani, Yagob Dinpashoh, & S. Shahmorad. (2016). Integration of Volterra model with artificial neural networks for rainfall-runoff simulation in forested catchment of northern Iran. Journal of Hydrology. 540. 340–354. 34 indexed citations
16.
Ghorbani, Mohammad Ali, et al.. (2015). Probability distribution functions for unit hydrographs with optimization using genetic algorithm. Applied Water Science. 7(2). 663–676. 15 indexed citations
17.
Khatibi, Rahman, et al.. (2012). Developing a predictive tropospheric ozone model for Tabriz. Atmospheric Environment. 68. 286–294. 10 indexed citations
18.
Khatibi, Rahman, Mohammad Ali Ghorbani, Mohammad Taghi Aalami, et al.. (2011). Dynamics of hourly sea level at Hillarys Boat Harbour, Western Australia: a chaos theory perspective. Ocean Dynamics. 61(11). 1797–1807. 22 indexed citations
19.
Ghorbani, Mohammad Ali, et al.. (2010). A probe into the chaotic nature of daily streamflow time series by correlation dimension and largest Lyapunov methods. Applied Mathematical Modelling. 34(12). 4050–4057. 42 indexed citations
20.
Ghorbani, Mohammad Ali, Rahman Khatibi, Bellie Sivakumar, & Loren Cobb. (2010). Study of discontinuities in hydrological data using catastrophe theory. Hydrological Sciences Journal. 55(7). 1137–1151. 23 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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