Mohammad Isazadeh

611 total citations
10 papers, 458 citations indexed

About

Mohammad Isazadeh is a scholar working on Environmental Engineering, Water Science and Technology and Artificial Intelligence. According to data from OpenAlex, Mohammad Isazadeh has authored 10 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 5 papers in Water Science and Technology and 4 papers in Artificial Intelligence. Recurrent topics in Mohammad Isazadeh's work include Hydrological Forecasting Using AI (5 papers), Energy Load and Power Forecasting (3 papers) and Groundwater and Isotope Geochemistry (2 papers). Mohammad Isazadeh is often cited by papers focused on Hydrological Forecasting Using AI (5 papers), Energy Load and Power Forecasting (3 papers) and Groundwater and Isotope Geochemistry (2 papers). Mohammad Isazadeh collaborates with scholars based in Iran, Malaysia and Australia. Mohammad Isazadeh's co-authors include Mohammad Ali Ghorbani, Özlem Terzi, Seyed Mostafa Biazar, Afshin Ashrafzadeh, Esmaeil Asadi, Amir Mosavi, Shahaboddin Shamshirband, Éva Hajnal, Narjes Nabipour and Kwok‐wing Chau and has published in prestigious journals such as Sustainability, Environmental Science and Pollution Research and Environmental Earth Sciences.

In The Last Decade

Mohammad Isazadeh

10 papers receiving 448 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 Isazadeh Iran 7 280 218 106 104 68 10 458
Ioannis Trichakis Italy 10 280 1.0× 229 1.1× 107 1.0× 38 0.4× 40 0.6× 26 395
Mosaad Khadr Egypt 16 290 1.0× 303 1.4× 250 2.4× 120 1.2× 74 1.1× 32 703
Seong-Chun Jun South Korea 7 510 1.8× 302 1.4× 154 1.5× 58 0.6× 55 0.8× 21 701
Hamid Kardan Moghaddam Iran 13 435 1.6× 258 1.2× 145 1.4× 158 1.5× 52 0.8× 39 616
Afshin Ashrafzadeh Iran 13 247 0.9× 193 0.9× 191 1.8× 33 0.3× 50 0.7× 38 495
Lakhdar Djemili Algeria 11 160 0.6× 155 0.7× 133 1.3× 45 0.4× 54 0.8× 27 376
Basant Yadav India 14 484 1.7× 389 1.8× 228 2.2× 91 0.9× 100 1.5× 43 778
Ahmed M. Saqr Egypt 11 146 0.5× 120 0.6× 66 0.6× 72 0.7× 39 0.6× 27 339
Bedri Kurtuluş Türkiye 11 171 0.6× 127 0.6× 53 0.5× 52 0.5× 60 0.9× 29 364
Dominika Dąbrowska Poland 14 150 0.5× 131 0.6× 127 1.2× 66 0.6× 41 0.6× 53 465

Countries citing papers authored by Mohammad Isazadeh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Isazadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Isazadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Isazadeh. A scholar is included among the top collaborators of Mohammad Isazadeh 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 Isazadeh. Mohammad Isazadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Biazar, Seyed Mostafa, et al.. (2021). Investigating the impact of input variable selection on daily solar radiation prediction accuracy using data-driven models: a case study in northern Iran. Stochastic Environmental Research and Risk Assessment. 36(1). 225–249. 8 indexed citations
2.
Biazar, Seyed Mostafa, Vahid Rahmani, Mohammad Isazadeh, Özgür Kişi, & Yagob Dinpashoh. (2020). New input selection procedure for machine learning methods in estimating daily global solar radiation. Arabian Journal of Geosciences. 13(12). 29 indexed citations
3.
Khaledian, Mohammadreza, Mohammad Isazadeh, Seyed Mostafa Biazar, & Quoc Bao Pham. (2020). Simulating Caspian Sea surface water level by artificial neural network and support vector machine models. Acta Geophysica. 68(2). 553–563. 24 indexed citations
4.
Asadi, Esmaeil, Mohammad Isazadeh, Saeed Samadianfard, et al.. (2019). Groundwater Quality Assessment for Sustainable Drinking and Irrigation. Sustainability. 12(1). 177–177. 149 indexed citations
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6.
Rostami, Ali, et al.. (2019). Evaluation of geostatistical techniques and their hybrid in modelling of groundwater quality index in the Marand Plain in Iran. Environmental Science and Pollution Research. 26(34). 34993–35009. 33 indexed citations
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Isazadeh, Mohammad, Seyed Mostafa Biazar, & Afshin Ashrafzadeh. (2017). Support vector machines and feed-forward neural networks for spatial modeling of groundwater qualitative parameters. Environmental Earth Sciences. 76(17). 56 indexed citations
10.
Ghorbani, Mohammad Ali, et al.. (2016). A comparative study of artificial neural network (MLP, RBF) and support vector machine models for river flow prediction. Environmental Earth Sciences. 75(6). 152 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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2026