Hany Gamal

1.4k total citations
77 papers, 1.0k citations indexed

About

Hany Gamal is a scholar working on Ocean Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Hany Gamal has authored 77 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Ocean Engineering, 63 papers in Mechanical Engineering and 20 papers in Civil and Structural Engineering. Recurrent topics in Hany Gamal's work include Drilling and Well Engineering (61 papers), Hydraulic Fracturing and Reservoir Analysis (55 papers) and Tunneling and Rock Mechanics (18 papers). Hany Gamal is often cited by papers focused on Drilling and Well Engineering (61 papers), Hydraulic Fracturing and Reservoir Analysis (55 papers) and Tunneling and Rock Mechanics (18 papers). Hany Gamal collaborates with scholars based in Saudi Arabia, Egypt and Switzerland. Hany Gamal's co-authors include Salaheldin Elkatatny, Abdulazeez Abdulraheem, Ahmed Alsaihati, Ahmed Gowida, Badr Bageri, Abdulaziz Al-Majed, Salem Basfar, Ahmed Abdulhamid Mahmoud, Shirish Patil and Ahmad Al-AbdulJabbar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.

In The Last Decade

Hany Gamal

69 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hany Gamal Saudi Arabia 20 791 657 323 218 115 77 1.0k
Vahidoddin Fattahpour Canada 20 838 1.1× 837 1.3× 88 0.3× 196 0.9× 71 0.6× 103 1.2k
Hao Yu China 16 563 0.7× 620 0.9× 231 0.7× 357 1.6× 128 1.1× 82 997
Allan Katende United States 16 866 1.1× 724 1.1× 269 0.8× 401 1.8× 50 0.4× 21 1.0k
Gonghui Liu China 21 1.1k 1.4× 915 1.4× 372 1.2× 417 1.9× 98 0.9× 126 1.4k
Ali Ghalambor United States 19 1.1k 1.4× 967 1.5× 162 0.5× 305 1.4× 66 0.6× 155 1.4k
Samuel Osisanya United States 17 953 1.2× 722 1.1× 365 1.1× 214 1.0× 36 0.3× 98 1.2k
G. Hareland Canada 23 1.9k 2.4× 1.5k 2.3× 802 2.5× 404 1.9× 86 0.7× 154 2.0k
A. L. Martins Brazil 15 712 0.9× 563 0.9× 157 0.5× 79 0.4× 19 0.2× 118 986
Alexandre Lavrov Norway 19 671 0.8× 554 0.8× 345 1.1× 351 1.6× 124 1.1× 73 1.0k

Countries citing papers authored by Hany Gamal

Since Specialization
Citations

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

Fields of papers citing papers by Hany Gamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hany Gamal

This figure shows the co-authorship network connecting the top 25 collaborators of Hany Gamal. A scholar is included among the top collaborators of Hany Gamal 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 Hany Gamal. Hany Gamal 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.
Petre, Robert, et al.. (2025). Casing Exit Excellence: a Holistic Strategy of Integrated Engineering Models and Well Integrity Analytics for Extended Reach Wells. International Petroleum Technology Conference. 1 indexed citations
2.
Gamal, Hany, et al.. (2023). Machine Learning Solution for Predicting Vibrations while Drilling the Curve Section. ACS Omega. 8(39). 35822–35836. 4 indexed citations
3.
Gamal, Hany, et al.. (2023). Leaching of Rare Earth Elements from Gibbsite-bearing Shale of Southwestern Sinai, Egypt using Ammonium Sulfate via Ion Exchange Mechanism. Egyptian Journal of Chemistry. 0(0). 0–0. 1 indexed citations
4.
Alhindawy, Islam G., Hany Gamal, Ahmed A. Zaher, et al.. (2023). La/Nd-doped zirconium oxide: Impact of zirconia phase transition on gamma-ray shielding properties. Journal of Physics and Chemistry of Solids. 187. 111828–111828. 20 indexed citations
5.
Mahmoud, Ahmed Abdulhamid, Hany Gamal, & Salaheldin Elkatatny. (2023). Evaluation of the wellbore drillability while horizontally drilling sandstone formations using combined regression analysis and machine learning models. Journal of Petroleum Exploration and Production Technology. 13(7). 1641–1653. 6 indexed citations
6.
Gamal, Hany, et al.. (2023). Detecting downhole vibrations through drilling horizontal sections: machine learning study. Scientific Reports. 13(1). 6204–6204. 12 indexed citations
7.
Gowida, Ahmed, Hany Gamal, & Salaheldin Elkatatny. (2023). Exploring the potential of laser technology in oil well drilling: An overview. Geoenergy Science and Engineering. 230. 212278–212278. 10 indexed citations
8.
Gamal, Hany, et al.. (2022). Machine Learning Models for Acoustic Data Prediction During Drilling Composite Lithology Formations. Journal of Energy Resources Technology. 144(10). 8 indexed citations
9.
Gamal, Hany, Salaheldin Elkatatny, & Abdulrauf R. Adebayo. (2022). The role of overbalance pressure on mud induced alteration of sandstone rock pore system. Scientific Reports. 12(1). 8367–8367. 2 indexed citations
10.
Gamal, Hany, et al.. (2021). Generating the Rock Strength Profile While Drilling Complex Lithologies in real-time by Employing Artificial Neural Networks. 1 indexed citations
11.
Gamal, Hany, et al.. (2021). New correlations for better monitoring the all-oil mud rheology by employing artificial neural networks. Flow Measurement and Instrumentation. 78. 101914–101914. 29 indexed citations
12.
Gamal, Hany, Ahmed Abdelaal, Ahmed Alsaihati, Salaheldin Elkatatny, & Abdulazeez Abdulraheem. (2021). Artificial Neural Network Model for Predicting the Equivalent Circulating Density from Drilling Parameters. 5 indexed citations
13.
Mahmoud, Ahmed Abdulhamid, et al.. (2021). Artificial Neural Networks-Based Equation for Real-Time Estimation of the Dynamic Young's Modulus. 3 indexed citations
14.
Gamal, Hany, et al.. (2021). Applying Different Artificial Intelligence Techniques in Dynamic Poisson’s Ratio Prediction Using Drilling Parameters. Journal of Energy Resources Technology. 144(7). 23 indexed citations
15.
Gamal, Hany, et al.. (2021). Real-time prediction of Poisson’s ratio from drilling parameters using machine learning tools. Scientific Reports. 11(1). 12611–12611. 30 indexed citations
16.
Gamal, Hany, et al.. (2020). Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System. Sensors. 20(6). 1669–1669. 50 indexed citations
17.
Elkatatny, Salaheldin, et al.. (2020). A Novel Solution for Severe Loss Prevention While Drilling Deep Wells. Sustainability. 12(4). 1339–1339. 12 indexed citations
18.
Mahmoud, Ahmed Abdulhamid, Salaheldin Elkatatny, Ahmad Al-AbdulJabbar, et al.. (2020). Artificial Neural Networks Model for Prediction of the Rate of Penetration While Horizontally Drilling Carbonate Formations. 20 indexed citations
19.
Gamal, Hany, et al.. (2020). Real-Time Prediction of Rheological Properties of All-Oil Mud Using Artificial Intelligence. 14 indexed citations
20.
Gamal, Hany, Salaheldin Elkatatny, & Abdulazeez Abdulraheem. (2020). Effect of the Filtrate Fluid of Water-Based Mud on Sandstone Rock Strength and Elastic Moduli. ACS Omega. 5(50). 32677–32688. 13 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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