Omar Mahmoud

1.4k total citations · 1 hit paper
74 papers, 1.1k citations indexed

About

Omar Mahmoud is a scholar working on Ocean Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Omar Mahmoud has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Ocean Engineering, 45 papers in Mechanical Engineering and 17 papers in Civil and Structural Engineering. Recurrent topics in Omar Mahmoud's work include Drilling and Well Engineering (42 papers), Hydraulic Fracturing and Reservoir Analysis (33 papers) and Reservoir Engineering and Simulation Methods (15 papers). Omar Mahmoud is often cited by papers focused on Drilling and Well Engineering (42 papers), Hydraulic Fracturing and Reservoir Analysis (33 papers) and Reservoir Engineering and Simulation Methods (15 papers). Omar Mahmoud collaborates with scholars based in Egypt, United States and Saudi Arabia. Omar Mahmoud's co-authors include H. A. Nasr‐El‐Din, Vassilios C. Kelessidis, Zisis Vryzas, Adel M. Salem, V.T. Zaspalis, Adnan Aftab, Muhammad Ali, Muhammad Arif, Noori M. Cata Saady and Alireza Keshavarz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Materials.

In The Last Decade

Omar Mahmoud

71 papers receiving 1.1k citations

Hit Papers

Nanoparticles in enhanced oil recovery: state-of-the-art ... 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. Nanoparticles in enhanced oil recovery: state-of-the-art review
    2025 19 citations Omar Mahmoud et al. Journal of Petroleum Exploration and Production Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omar Mahmoud Egypt 20 800 744 307 165 144 74 1.1k
Robello Samuel United Kingdom 18 1.4k 1.7× 1.0k 1.4× 594 1.9× 85 0.5× 169 1.2× 164 1.6k
Mortadha Alsaba Kuwait 25 1.4k 1.7× 1.1k 1.5× 523 1.7× 48 0.3× 306 2.1× 81 1.6k
Evren Ozbayoglu United States 25 1.7k 2.2× 1.3k 1.8× 595 1.9× 220 1.3× 448 3.1× 135 2.0k
Ahmed K. Abbas Iraq 18 686 0.9× 557 0.7× 220 0.7× 45 0.3× 189 1.3× 63 876
Guoxi He China 16 177 0.2× 287 0.4× 242 0.8× 51 0.3× 86 0.6× 77 704
Cezar Otaviano Ribeiro Negrão Brazil 19 345 0.4× 409 0.5× 107 0.3× 97 0.6× 117 0.8× 56 941
Colin Hare United Kingdom 18 174 0.2× 444 0.6× 161 0.5× 82 0.5× 129 0.9× 62 1.0k
Magnus Evertsson Sweden 21 246 0.3× 1.1k 1.5× 213 0.7× 181 1.1× 200 1.4× 104 1.4k
Xu Li China 14 270 0.3× 150 0.2× 26 0.1× 55 0.3× 150 1.0× 64 645

Countries citing papers authored by Omar Mahmoud

Since Specialization
Citations

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

Fields of papers citing papers by Omar Mahmoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Mahmoud

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Mahmoud. A scholar is included among the top collaborators of Omar Mahmoud 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 Omar Mahmoud. Omar Mahmoud 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
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Mahmoud, Omar, et al.. (2025). Innovative Approaches to Gas Sensing: Bridging Theory and Human Applications. 4(1). 43–49. 1 indexed citations
3.
Mahmoud, Omar, et al.. (2025). Nanoparticles in enhanced oil recovery: state-of-the-art review. Journal of Petroleum Exploration and Production Technology. 15(4). 19 indexed citations breakdown →
4.
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Meehan, Nancy, et al.. (2024). Investigating curve smoothing techniques for enhanced shale gas production data analysis. SHILAP Revista de lepidopterología. 9(6). 431–458. 1 indexed citations
6.
Mahmoud, Omar, et al.. (2024). A supervised machine learning model to select a cost-effective directional drilling tool. Scientific Reports. 14(1). 26624–26624. 2 indexed citations
7.
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Ayoub, Iriny M., et al.. (2024). Valorization of Citrus peels: GC/MS‐based metabolites profiling, multivariate analysis, and antiaging potential. Archiv der Pharmazie. 357(5). e2300742–e2300742. 6 indexed citations
9.
Mahmoud, Omar, et al.. (2023). Reliable machine learning for the shear strength of beams strengthened using externally bonded FRP jackets. Frontiers in Materials. 10. 4 indexed citations
10.
Oppelt, Joachim, et al.. (2023). Effect of drilling and wellbore geometry parameters on wellbore temperature profile: Implications for geothermal production. ADVANCES IN GEO-ENERGY RESEARCH. 8(3). 170–180. 2 indexed citations
11.
Mahmoud, Omar, et al.. (2023). Artificial Neural Network Model to Predict Filtrate Invasion of Nanoparticle-Based Drilling Fluids. Trends in Sciences. 20(5). 6736–6736. 5 indexed citations
12.
Sun, Mei, et al.. (2022). Numerical investigation of a squeezing flow between concentric cylinders under the variable magnetic field of intensity. Scientific Reports. 12(1). 9148–9148. 10 indexed citations
13.
Metwally, Ahmed Sayed M., et al.. (2022). An experimental study to measure oil recovery factor by chemical agents and carbon dioxide after waterflooding. Scientific Reports. 12(1). 9464–9464. 5 indexed citations
14.
Ali, Farhad, Naveed Khan, Zubair Ahmad, et al.. (2022). MHD flow of time-fractional Casson nanofluid using generalized Fourier and Fick's laws over an inclined channel with applications of gold nanoparticles. Scientific Reports. 12(1). 17364–17364. 35 indexed citations
15.
Zeeshan, Zeeshan, et al.. (2022). Visualization of non-Newtonian convective fluid flow with internal heat transfer across a rotating stretchable surface impact of chemical reaction. Scientific Reports. 12(1). 10392–10392. 6 indexed citations
16.
Jamshed, Wasim, R. J. Punith Gowda, R. Naveen Kumar, et al.. (2022). Entropy production simulation of second-grade magnetic nanomaterials flowing across an expanding surface with viscidness dissipative flux. Nanotechnology Reviews. 11(1). 2814–2826. 19 indexed citations
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Elngar, Ahmed A., et al.. (2021). Image Classification Based On CNN: A Survey. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
19.
Elngar, Ahmed A., et al.. (2021). Plagiarism Detection Algorithm Model Based on NLP Technology. 43–61. 5 indexed citations
20.
Kumar, Ramesh, et al.. (2001). Post-transfusion purpura: case report. Annals of Hematology. 80(8). 488–491. 8 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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