Mysara Eissa Mohyaldinn

1.3k total citations
82 papers, 885 citations indexed

About

Mysara Eissa Mohyaldinn is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Mysara Eissa Mohyaldinn has authored 82 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Ocean Engineering, 36 papers in Mechanical Engineering and 19 papers in Mechanics of Materials. Recurrent topics in Mysara Eissa Mohyaldinn's work include Enhanced Oil Recovery Techniques (32 papers), Hydraulic Fracturing and Reservoir Analysis (26 papers) and Petroleum Processing and Analysis (18 papers). Mysara Eissa Mohyaldinn is often cited by papers focused on Enhanced Oil Recovery Techniques (32 papers), Hydraulic Fracturing and Reservoir Analysis (26 papers) and Petroleum Processing and Analysis (18 papers). Mysara Eissa Mohyaldinn collaborates with scholars based in Malaysia, Saudi Arabia and United Arab Emirates. Mysara Eissa Mohyaldinn's co-authors include Mohammed Abdalla Ayoub, Fahd Saeed Alakbari, Anas M. Hassan, Ali Samer Muhsan, Hans Bruining, Syahrir Ridha, Obai Younis, Tarek Ganat, Ibnelwaleed A. Hussein and Nurul Hasan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mysara Eissa Mohyaldinn

75 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mysara Eissa Mohyaldinn Malaysia 17 491 384 176 121 105 82 885
Mingyuan Li China 15 282 0.6× 103 0.3× 187 1.1× 141 1.2× 117 1.1× 52 617
Issham Ismail Malaysia 27 1.4k 2.9× 1.1k 2.9× 206 1.2× 158 1.3× 60 0.6× 111 2.0k
Pan Zhang China 19 144 0.3× 383 1.0× 114 0.6× 15 0.1× 110 1.0× 94 991
Jun Zhou China 14 154 0.3× 170 0.4× 85 0.5× 80 0.7× 159 1.5× 113 737
Santosh Kumar Nayak India 11 82 0.2× 275 0.7× 39 0.2× 32 0.3× 65 0.6× 33 642
Martin J. Pitt United Kingdom 14 156 0.3× 120 0.3× 42 0.2× 17 0.1× 34 0.3× 26 503
Nagoor Basha Shaik Malaysia 14 55 0.1× 209 0.5× 62 0.4× 16 0.1× 91 0.9× 32 469
Yuhua Wang China 16 92 0.2× 426 1.1× 164 0.9× 25 0.2× 75 0.7× 64 827
Ralph E. Flori United States 22 1.2k 2.5× 1.0k 2.6× 569 3.2× 97 0.8× 13 0.1× 127 1.6k
N. Sivakumar India 10 33 0.1× 104 0.3× 84 0.5× 14 0.1× 100 1.0× 47 514

Countries citing papers authored by Mysara Eissa Mohyaldinn

Since Specialization
Citations

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

Fields of papers citing papers by Mysara Eissa Mohyaldinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mysara Eissa Mohyaldinn. 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 Mysara Eissa Mohyaldinn. The network helps show where Mysara Eissa Mohyaldinn may publish in the future.

Co-authorship network of co-authors of Mysara Eissa Mohyaldinn

This figure shows the co-authorship network connecting the top 25 collaborators of Mysara Eissa Mohyaldinn. A scholar is included among the top collaborators of Mysara Eissa Mohyaldinn 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 Mysara Eissa Mohyaldinn. Mysara Eissa Mohyaldinn 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.
Alakbari, Fahd Saeed, et al.. (2025). Prediction of Poisson’s ratio for a petroleum engineering application: Machine learning methods. PLoS ONE. 20(2). e0317754–e0317754. 1 indexed citations
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Elraies, Khaled Abdalla, et al.. (2024). Quartz Hydrolysis Analysis of Pure Quartz for Enhanced Oil Production; Influence of Time, pH, and Salinity on Hydrolysis. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 111(2). 99–106. 2 indexed citations
6.
Alakbari, Fahd Saeed, Mysara Eissa Mohyaldinn, Syed Mohammad Mahmood, et al.. (2024). A Statistics-Based Correlation for the Assessment of Water-Based Mud Performance: Yield Point Prediction. Arabian Journal for Science and Engineering. 50(7). 4927–4942. 1 indexed citations
7.
Mohyaldinn, Mysara Eissa, et al.. (2024). A Review on Use of Emulsified Acids for Matrix Acidizing in Carbonate Reservoirs. ACS Omega. 9(10). 11027–11049. 9 indexed citations
8.
Alakbari, Fahd Saeed, Mysara Eissa Mohyaldinn, Mohammed Abdalla Ayoub, Ali Samer Muhsan, & Ibnelwaleed A. Hussein. (2023). A robust Gaussian process regression-based model for the determination of static Young’s modulus for sandstone rocks. Neural Computing and Applications. 35(21). 15693–15707. 6 indexed citations
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Mohyaldinn, Mysara Eissa, et al.. (2023). Stability, Rheological Behavior, and pH Responsiveness of CTAB/HCl Acidic Emulsion: Experimental Investigation. ACS Omega. 8(25). 22428–22439. 5 indexed citations
12.
Alakbari, Fahd Saeed, et al.. (2023). A decision tree model for accurate prediction of sand erosion in elbow geometry. Heliyon. 9(7). e17639–e17639. 5 indexed citations
13.
Alakbari, Fahd Saeed, Mysara Eissa Mohyaldinn, Mohammed Abdalla Ayoub, Ali Samer Muhsan, & Ibnelwaleed A. Hussein. (2022). An Accurate Reservoir’s Bubble Point Pressure Correlation. ACS Omega. 7(15). 13196–13209. 8 indexed citations
14.
Hassan, Anas M., Mohammed Abdalla Ayoub, Mysara Eissa Mohyaldinn, et al.. (2022). Increasing Reservoir Recovery Efficiency through Laboratory-Proven Hybrid Smart Water-Assisted Foam (SWAF) Flooding in Carbonate Reservoirs. Energies. 15(9). 3058–3058. 13 indexed citations
15.
Alakbari, Fahd Saeed, Mysara Eissa Mohyaldinn, Mohammed Abdalla Ayoub, et al.. (2022). Prediction of critical total drawdown in sand production from gas wells: Machine learning approach. The Canadian Journal of Chemical Engineering. 101(5). 2493–2509. 19 indexed citations
16.
Alakbari, Fahd Saeed, Mysara Eissa Mohyaldinn, Mohammed Abdalla Ayoub, Ali Samer Muhsan, & Anas M. Hassan. (2021). Apparent and plastic viscosities prediction of water-based drilling fluid using response surface methodology. Colloids and Surfaces A Physicochemical and Engineering Aspects. 616. 126278–126278. 22 indexed citations
17.
Alakbari, Fahd Saeed, Mysara Eissa Mohyaldinn, Mohammed Abdalla Ayoub, & Ali Samer Muhsan. (2021). Deep Learning Approach for Robust Prediction of Reservoir Bubble Point Pressure. ACS Omega. 6(33). 21499–21513. 27 indexed citations
18.
Mohyaldinn, Mysara Eissa, Zakia A. Olama, & Hanafy Holail. (2015). Biodiversity of oleaginous microorganisms in the Lebanese environment. International Journal of Current Microbiology and Applied Sciences. 4(5). 5 indexed citations
19.
Ismail, Mokhtar Che, et al.. (2011). COUPLING NORSOK CO2 CORROSION PREDICTION MODEL WITH PIPELINES THERMAL/HYDRAULIC MODELS TO SIMULATE CO2 CORROSION ALONG PIPELINES. SHILAP Revista de lepidopterología. 6 indexed citations
20.
Mohyaldinn, Mysara Eissa, et al.. (2003). Wear of pipe components due to sand production with oil and gas. 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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