Waleed AlAmeri

1.7k total citations
102 papers, 1.3k citations indexed

About

Waleed AlAmeri is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Waleed AlAmeri has authored 102 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Ocean Engineering, 76 papers in Mechanical Engineering and 46 papers in Mechanics of Materials. Recurrent topics in Waleed AlAmeri's work include Enhanced Oil Recovery Techniques (99 papers), Hydraulic Fracturing and Reservoir Analysis (76 papers) and Hydrocarbon exploration and reservoir analysis (46 papers). Waleed AlAmeri is often cited by papers focused on Enhanced Oil Recovery Techniques (99 papers), Hydraulic Fracturing and Reservoir Analysis (76 papers) and Hydrocarbon exploration and reservoir analysis (46 papers). Waleed AlAmeri collaborates with scholars based in United Arab Emirates, United States and Saudi Arabia. Waleed AlAmeri's co-authors include Emad W. Al-Shalabi, Ali M. AlSumaiti, Hossein Kazemi, Tadesse Weldu Teklu, Ramona M. Graves, Muhammad Rehan Hashmet, Anas M. Hassan, Muhammad Mushtaq, Shehzad Ahmed and Muhammad Shahzad Kamal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Waleed AlAmeri

96 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Waleed AlAmeri United Arab Emirates 22 1.2k 807 703 304 131 102 1.3k
Mobeen Fatemi Iran 21 1.0k 0.9× 644 0.8× 657 0.9× 197 0.6× 169 1.3× 76 1.1k
Pengcheng Liu China 20 875 0.7× 403 0.5× 553 0.8× 318 1.0× 99 0.8× 61 1000
Ingebret Fjelde Norway 20 960 0.8× 666 0.8× 524 0.7× 183 0.6× 253 1.9× 85 1.1k
Kaoping Song China 16 806 0.7× 506 0.6× 518 0.7× 197 0.6× 171 1.3× 62 989
Benyamin Yadali Jamaloei Canada 20 1.0k 0.8× 626 0.8× 458 0.7× 238 0.8× 132 1.0× 66 1.1k
Arne Stavland Norway 19 918 0.8× 664 0.8× 241 0.3× 135 0.4× 76 0.6× 66 1.0k
David Levitt France 19 1.2k 1.0× 755 0.9× 362 0.5× 512 1.7× 47 0.4× 32 1.3k
Qian Sang China 18 719 0.6× 469 0.6× 703 1.0× 122 0.4× 154 1.2× 46 1.0k
Mohammed Bataweel United States 18 920 0.8× 688 0.9× 436 0.6× 201 0.7× 78 0.6× 78 1.1k

Countries citing papers authored by Waleed AlAmeri

Since Specialization
Citations

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

Fields of papers citing papers by Waleed AlAmeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waleed AlAmeri

This figure shows the co-authorship network connecting the top 25 collaborators of Waleed AlAmeri. A scholar is included among the top collaborators of Waleed AlAmeri 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 Waleed AlAmeri. Waleed AlAmeri 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
2.
Varghese, Anish Mathai, Shehzad Ahmed, K.L. Stefanopoulos, et al.. (2025). Nanomaterials as CO2 foam stabilizers: A comprehensive review. Journal of Molecular Liquids. 436. 128156–128156. 2 indexed citations
3.
Mushtaq, Muhammad, et al.. (2025). Experimental study on stability, rheology, and CO2 storage capacity of polymer-enhanced foams in carbonates. Chemical Engineering Journal. 525. 170546–170546.
4.
Mushtaq, Muhammad, Emad W. Al-Shalabi, Waleed AlAmeri, et al.. (2024). Investigating the Effect of Water Softening on Polymer Adsorption onto Carbonates through Single-Phase and Two-Phase Experiments. SPE Journal. 29(9). 4988–5001. 4 indexed citations
5.
Tembely, Moussa, et al.. (2024). Estimating Residual Oil Saturation in Carbonate Rocks: A Combined Approach of Direct Simulation and Data-Driven Analysis. SPE Journal. 29(10). 5617–5635. 2 indexed citations
6.
Fanourgakis, George S., et al.. (2024). Machine learning prediction and optimization of CO2 foam performance for enhanced oil recovery and carbon sequestration: Effect of surfactant type and operating conditions. Geoenergy Science and Engineering. 240. 213064–213064. 5 indexed citations
9.
Mushtaq, Muhammad, Emad W. Al-Shalabi, Waleed AlAmeri, et al.. (2024). Investigating the effects of make-up water dilution and oil presence on polymer retention in carbonate reservoirs. Scientific Reports. 14(1). 27924–27924. 1 indexed citations
10.
Mushtaq, Muhammad, Emad W. Al-Shalabi, & Waleed AlAmeri. (2023). A review on retention of surfactants in enhanced oil recovery: A mechanistic insight. Geoenergy Science and Engineering. 230. 212243–212243. 20 indexed citations
11.
Mushtaq, Muhammad, et al.. (2023). A comprehensive review of viscoelastic polymer flooding in sandstone and carbonate rocks. Scientific Reports. 13(1). 17679–17679. 39 indexed citations
12.
Hassan, Anas M., Emad W. Al-Shalabi, Waleed AlAmeri, et al.. (2023). New Insights into Hybrid Low-Salinity Polymer Flooding through a Coupled Geochemical-Based Modeling Approach. SPE Reservoir Evaluation & Engineering. 26(4). 1175–1196. 2 indexed citations
13.
Ahmed, Shehzad, Waleed AlAmeri, & Emad W. Al-Shalabi. (2023). Monitoring of Polymer Injectivity and Mobility Control Performance in Carbonates Using Coreflood Integrated with Computed Tomography (CT). SPE Western Regional Meeting. 1 indexed citations
14.
Abderrahmane, Hamid Ait, et al.. (2023). Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs. Scientific Reports. 13(1). 9855–9855. 43 indexed citations
15.
Fanourgakis, George S., et al.. (2022). Data-driven prediction of in situ CO2 foam strength for enhanced oil recovery and carbon sequestration. RSC Advances. 12(55). 35703–35711. 14 indexed citations
16.
AlAmeri, Waleed, et al.. (2020). Development of a novel model to predict HPAM viscosity with the effects of concentration, salinity and divalent content. Journal of Petroleum Exploration and Production Technology. 10(5). 1949–1963. 25 indexed citations
17.
AlAmeri, Waleed, et al.. (2020). Experimental investigation of polymer injectivity and retention under harsh carbonate reservoir conditions. Journal of Petroleum Science and Engineering. 192. 107262–107262. 32 indexed citations
18.
AlAmeri, Waleed, et al.. (2018). Experimental investigation of polymer flooding with low-salinity preconditioning of high temperature–high-salinity carbonate reservoir. Journal of Petroleum Exploration and Production Technology. 9(2). 1517–1530. 56 indexed citations
19.
Hashmet, Muhammad Rehan, et al.. (2017). Injection of Polymer for Improved Sweep Efficiency in High Temperature High Salinity Carbonate Reservoirs: Linear X-Ray Aided Flood Front Monitoring. SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. 24 indexed citations
20.
Ghosh, Bisweswar, et al.. (2016). Alkali and Hybrid-Alkali Flooding as a Tertiary Oil Recovery Mode: Prospects and Challenges. 2(2). 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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