Hamzeh Ghorbani

2.5k total citations · 1 hit paper
74 papers, 1.8k citations indexed

About

Hamzeh Ghorbani is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Hamzeh Ghorbani has authored 74 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Ocean Engineering, 34 papers in Mechanical Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Hamzeh Ghorbani's work include Hydraulic Fracturing and Reservoir Analysis (31 papers), Drilling and Well Engineering (25 papers) and Reservoir Engineering and Simulation Methods (17 papers). Hamzeh Ghorbani is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (31 papers), Drilling and Well Engineering (25 papers) and Reservoir Engineering and Simulation Methods (17 papers). Hamzeh Ghorbani collaborates with scholars based in Iran, United Kingdom and Russia. Hamzeh Ghorbani's co-authors include David A. Wood, Nima Mohamadian, Shadfar Davoodi, Jamshid Moghadasi, Mehdi Ahmadi Alvar, Mohammad Mehrad, Abouzar Choubineh, Ahmed E. Radwan, Meysam Rajabi and Saeed Khezerloo‐ye Aghdam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuel and Frontiers in Pharmacology.

In The Last Decade

Hamzeh Ghorbani

72 papers receiving 1.8k citations

Hit Papers

Artificial intelligence‐enabled innovations in cochlear i... 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial intelligence‐enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration
    2025 16 citations Guodao Zhang, Rui Chen et al. Bioengineering & Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamzeh Ghorbani Iran 28 957 920 576 225 185 74 1.8k
Nima Mohamadian Iran 22 665 0.7× 603 0.7× 396 0.7× 165 0.7× 123 0.7× 26 1.1k
Stephen Butt Canada 27 1.6k 1.7× 1.2k 1.3× 688 1.2× 677 3.0× 63 0.3× 162 2.4k
Syahrir Ridha Malaysia 21 634 0.7× 566 0.6× 257 0.4× 321 1.4× 68 0.4× 104 1.5k
Zhifeng Luo China 24 858 0.9× 957 1.0× 556 1.0× 145 0.6× 24 0.1× 103 1.6k
Ning Li China 29 814 0.9× 668 0.7× 1.3k 2.2× 822 3.7× 57 0.3× 128 2.3k
Mohammad Ali Riahi Iran 17 420 0.4× 745 0.8× 537 0.9× 60 0.3× 153 0.8× 159 1.4k
Zaobao Liu China 30 629 0.7× 483 0.5× 1.5k 2.5× 1.1k 4.7× 73 0.4× 104 2.4k
Liyun Lao United Kingdom 22 366 0.4× 569 0.6× 247 0.4× 139 0.6× 105 0.6× 81 1.6k
Derek B. Apel Canada 23 365 0.4× 427 0.5× 977 1.7× 503 2.2× 186 1.0× 80 1.6k

Countries citing papers authored by Hamzeh Ghorbani

Since Specialization
Citations

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

Fields of papers citing papers by Hamzeh Ghorbani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamzeh Ghorbani

This figure shows the co-authorship network connecting the top 25 collaborators of Hamzeh Ghorbani. A scholar is included among the top collaborators of Hamzeh 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 Hamzeh Ghorbani. Hamzeh 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.
Ghorbani, Hamzeh, et al.. (2025). Robust computational approach to determine condensate liquid viscosity. Physics and Chemistry of the Earth Parts A/B/C. 138. 103880–103880. 3 indexed citations
2.
Zhang, Guodao, Rui Chen, Hamzeh Ghorbani, et al.. (2025). Artificial intelligence‐enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration. Bioengineering & Translational Medicine. 10(3). e10752–e10752. 16 indexed citations breakdown →
3.
Cao, Wen-Jun, Dongming Mei, Yang Guo, & Hamzeh Ghorbani. (2025). Deep learning approach to prediction of drill-bit torque in directional drilling sliding mode: Energy saving. Measurement. 250. 117144–117144. 3 indexed citations
4.
Ghorbani, Hamzeh, et al.. (2024). Anti-diabetic therapies on dental implant success in diabetes mellitus: a comprehensive review. Frontiers in Pharmacology. 15. 1506437–1506437. 13 indexed citations
5.
Ghorbani, Hamzeh, et al.. (2024). An Investigation of the Hydrochemical Parameters for Natural Monuments. 1–6. 6 indexed citations
6.
Ghorbani, Hamzeh, et al.. (2024). Predicting groundwater level using traditional and deep machine learning algorithms. Frontiers in Environmental Science. 12. 43 indexed citations
7.
Ghorbani, Hamzeh, et al.. (2024). Machine Learning Prediction of Gas Hydrates Phase Equilibrium in Porous Medium. 417–424. 10 indexed citations
8.
Ghorbani, Hamzeh, et al.. (2024). Advanced Machine Learning Methods for Accurate Prediction of Loss Circulation in Drilling Well Log. 31–36. 10 indexed citations
9.
Ghorbani, Hamzeh, et al.. (2024). Predicting future climate scenarios: a machine learning perspective on greenhouse gas emissions in agrifood systems. Frontiers in Environmental Science. 12. 1 indexed citations
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11.
Gao, Guozhong, et al.. (2023). Application of GMDH model to predict pore pressure. Frontiers in Earth Science. 10. 6 indexed citations
12.
Abad, Seyed Vahid Alavi Nezhad Khalil, et al.. (2023). Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters. ACS Omega. 8(49). 46390–46398. 14 indexed citations
13.
Davoodi, Shadfar, Mohammad Mehrad, David A. Wood, Hamzeh Ghorbani, & Valeriy S. Rukavishnikov. (2023). Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids. Engineering Applications of Artificial Intelligence. 123. 106459–106459. 41 indexed citations
14.
Gao, Guozhong, Shadfar Davoodi, Meysam Rajabi, et al.. (2023). Prediction of fracture density in a gas reservoir using robust computational approaches. Frontiers in Earth Science. 10. 12 indexed citations
15.
Ghorbani, Hamzeh, et al.. (2023). Improving the Estimation of Coronary Artery Disease by Classification Machine Learning Algorithm. 159–166. 18 indexed citations
16.
Rajabi, Meysam, et al.. (2022). Data driven models to predict pore pressure using drilling and petrophysical data. Energy Reports. 8. 6551–6562. 31 indexed citations
17.
Alvar, Mehdi Ahmadi, et al.. (2021). Prediction of Bubble Point Pressure Using New Hybrid Computationail Intelligence Models. SHILAP Revista de lepidopterología. 8 indexed citations
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Ghorbani, Hamzeh, et al.. (2011). Mass production of multi-wall carbon nanotubes by metal dusting process with high yield. Materials Research Bulletin. 46(5). 716–721. 22 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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