Tamer Moussa

510 total citations
30 papers, 428 citations indexed

About

Tamer Moussa is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Tamer Moussa has authored 30 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ocean Engineering, 25 papers in Mechanical Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Tamer Moussa's work include Hydraulic Fracturing and Reservoir Analysis (25 papers), Reservoir Engineering and Simulation Methods (25 papers) and Drilling and Well Engineering (17 papers). Tamer Moussa is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (25 papers), Reservoir Engineering and Simulation Methods (25 papers) and Drilling and Well Engineering (17 papers). Tamer Moussa collaborates with scholars based in Saudi Arabia, Canada and Indonesia. Tamer Moussa's co-authors include Salaheldin Elkatatny, Mohamed Mahmoud, Abdulazeez Abdulraheem, Ahmed Abdulhamid Mahmoud, Abdulwahab Ali, Shirish Patil, Khaled Abdelgawad, Hassan Dehghanpour, Dhafer Al Shehri and Ahmad Al-AbdulJabbar and has published in prestigious journals such as Renewable Energy, Sustainability and Energies.

In The Last Decade

Tamer Moussa

29 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamer Moussa Saudi Arabia 12 362 314 115 49 38 30 428
Mohammed S. Al-Jawad Iraq 12 338 0.9× 258 0.8× 173 1.5× 21 0.4× 40 1.1× 65 434
Mohammad Islam Miah Bangladesh 9 196 0.5× 176 0.6× 149 1.3× 52 1.1× 50 1.3× 21 313
Yuetian Liu China 8 213 0.6× 205 0.7× 130 1.1× 19 0.4× 19 0.5× 27 315
Jose Finol Venezuela 9 304 0.8× 199 0.6× 135 1.2× 75 1.5× 25 0.7× 15 415
Hamid Reza Nasriani United Kingdom 13 344 1.0× 259 0.8× 163 1.4× 12 0.2× 21 0.6× 47 466
Reda Abdel Azim Iraq 12 186 0.5× 191 0.6× 119 1.0× 12 0.2× 25 0.7× 38 296
Hailong Jiang China 13 234 0.6× 221 0.7× 125 1.1× 35 0.7× 27 0.7× 36 356
Mohammad Rasheed Khan Saudi Arabia 13 291 0.8× 248 0.8× 120 1.0× 8 0.2× 31 0.8× 48 381
Chris Carpenter 8 275 0.8× 177 0.6× 89 0.8× 40 0.8× 16 0.4× 189 342
Meysam Rajabi Iran 10 149 0.4× 145 0.5× 105 0.9× 27 0.6× 58 1.5× 18 290

Countries citing papers authored by Tamer Moussa

Since Specialization
Citations

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

Fields of papers citing papers by Tamer Moussa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamer Moussa

This figure shows the co-authorship network connecting the top 25 collaborators of Tamer Moussa. A scholar is included among the top collaborators of Tamer Moussa 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 Tamer Moussa. Tamer Moussa 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.
Moussa, Tamer & Hassan Dehghanpour. (2024). Completion Design Optimization as a Function of Reservoir Quality in Tight Reservoirs: A Big Data Approach. SPE Journal. 30(2). 507–523.
2.
Mahmoud, Ahmed Abdulhamid, Salaheldin Elkatatny, Abdulwahab Ali, & Tamer Moussa. (2022). A Self-Adaptive Artificial Neural Network Technique to Estimate Static Young's Modulus Based on Well Logs. 2 indexed citations
3.
Moussa, Tamer & Hassan Dehghanpour. (2022). Evaluating geothermal energy production from suspended oil and gas wells by using data mining. Renewable Energy. 196. 1294–1307. 5 indexed citations
4.
Moussa, Tamer, et al.. (2022). Linking Flowback Recovery to Completion Efficiency: Niobrara-DJ Basin Case Study. SPE Hydraulic Fracturing Technology Conference and Exhibition. 1 indexed citations
5.
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
6.
Moussa, Tamer, Yingkun Fu, Hassan Dehghanpour, & Robert Hawkes. (2020). Coupled Versus Stratified Flow of Water and Hydrocarbon During Flowback and Post-flowback Processes. SPE Annual Technical Conference and Exhibition. 2 indexed citations
7.
Gowida, Ahmed, Salaheldin Elkatatny, & Tamer Moussa. (2020). Comparative Analysis Between Different Artificial Based Models for Predicting Static Poisson’s Ratio of Sandstone Formations. International Petroleum Technology Conference. 1 indexed citations
8.
Moussa, Tamer, Mohamed Mahmoud, Esmail M. A. Mokheimer, Dhafer Al Shehri, & Shirish Patil. (2019). Heavy Oil Recovery Using In Situ Steam Generated by Thermochemicals: A Numerical Simulation Study. Journal of Energy Resources Technology. 141(12). 11 indexed citations
9.
Mahmoud, Ahmed Abdulhamid, Salaheldin Elkatatny, Abdulwahab Ali, & Tamer Moussa. (2019). Estimation of Static Young’s Modulus for Sandstone Formation Using Artificial Neural Networks. Energies. 12(11). 2125–2125. 56 indexed citations
10.
Elkatatny, Salaheldin, et al.. (2019). Sensitivity Analysis and Prediction of Vertical Multistacked Well IPR -Tight Oil Reservoir Using Artificial Intelligence Technique. SPE Western Regional Meeting. 1 indexed citations
11.
Gowida, Ahmed, Tamer Moussa, Salaheldin Elkatatny, & Abdulwahab Ali. (2019). A Hybrid Artificial Intelligence Model to Predict the Elastic Behavior of Sandstone Rocks. Sustainability. 11(19). 5283–5283. 22 indexed citations
12.
Abdelgawad, Khaled, Salaheldin Elkatatny, Tamer Moussa, Mohamed Mahmoud, & Shirish Patil. (2018). Real-Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique. Journal of Energy Resources Technology. 141(3). 62 indexed citations
13.
Moussa, Tamer, Shirish Patil, & Mohamed Mahmoud. (2018). Performance Analysis of a Novel Heavy Oil Recovery Process Using In-Situ Steam Generated by Thermochemicals. SPE Western Regional Meeting. 7 indexed citations
14.
Elkatatny, Salaheldin, Tamer Moussa, Abdulazeez Abdulraheem, & Mohamed Mahmoud. (2018). A Self-Adaptive Artificial Intelligence Technique to Predict Oil Pressure Volume Temperature Properties. Energies. 11(12). 3490–3490. 21 indexed citations
15.
Moussa, Tamer, Mohamed Mahmoud, Esmail M. A. Mokheimer, Mohamed A. Habib, & Salaheldin Elkatatny. (2018). Well-Placement Optimization in Heavy Oil Reservoirs Using a Novel Method of In Situ Steam Generation. Journal of Energy Resources Technology. 141(3). 16 indexed citations
16.
Moussa, Tamer, Salaheldin Elkatatny, Mohamed Mahmoud, & Abdulazeez Abdulraheem. (2018). Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches. Journal of Energy Resources Technology. 140(7). 75 indexed citations
17.
Moussa, Tamer, Mohamed Mahmoud, Shirish Patil, Salaheldin Elkatatny, & Khaled Abdelgawad. (2018). Optimization of a Thermochemical Recovery Process Using Global Optimization Methods to Enhance Heavy Oil Recovery. 1 indexed citations
18.
Moussa, Tamer, et al.. (2017). A Hybrid Artificial Intelligence Method to Predict Gas Solubility and Bubble Point Pressure. SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. 4 indexed citations
19.
20.

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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