Ahmed Gowida

677 total citations
35 papers, 481 citations indexed

About

Ahmed Gowida is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Ahmed Gowida has authored 35 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Ocean Engineering, 27 papers in Mechanical Engineering and 10 papers in Mechanics of Materials. Recurrent topics in Ahmed Gowida's work include Drilling and Well Engineering (30 papers), Hydraulic Fracturing and Reservoir Analysis (25 papers) and Tunneling and Rock Mechanics (8 papers). Ahmed Gowida is often cited by papers focused on Drilling and Well Engineering (30 papers), Hydraulic Fracturing and Reservoir Analysis (25 papers) and Tunneling and Rock Mechanics (8 papers). Ahmed Gowida collaborates with scholars based in Saudi Arabia, Malaysia and Zambia. Ahmed Gowida's co-authors include Salaheldin Elkatatny, Saad Alafnan, Hany Gamal, Ahmed Farid Ibrahim, Abdulazeez Abdulraheem, Abeeb A. Awotunde, Stephen Adjei, Guenther Glatz, Abdulwahab Ali and Mustafa Al Ramadan and has published in prestigious journals such as Scientific Reports, Sensors and Sustainability.

In The Last Decade

Ahmed Gowida

32 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed Gowida Saudi Arabia 11 326 256 157 89 49 35 481
Rahman Ashena Iran 12 370 1.1× 314 1.2× 103 0.7× 102 1.1× 26 0.5× 62 565
Sulaiman A. Alarifi Saudi Arabia 13 370 1.1× 293 1.1× 137 0.9× 49 0.6× 18 0.4× 41 521
Teslim Olayiwola Saudi Arabia 11 217 0.7× 209 0.8× 94 0.6× 115 1.3× 36 0.7× 17 488
Khaled Abdelgawad Saudi Arabia 16 514 1.6× 393 1.5× 192 1.2× 64 0.7× 18 0.4× 37 606
Hadi Jabbari United States 14 278 0.9× 279 1.1× 210 1.3× 24 0.3× 75 1.5× 58 567
Jaber Al Jaberi Saudi Arabia 13 370 1.1× 313 1.2× 200 1.3× 129 1.4× 27 0.6× 35 506
Ayyaz Mustafa Saudi Arabia 11 151 0.5× 170 0.7× 127 0.8× 28 0.3× 21 0.4× 37 326
Liangping Yi China 15 283 0.9× 375 1.5× 444 2.8× 100 1.1× 59 1.2× 51 675
Yanguang Yuan Canada 13 382 1.2× 250 1.0× 264 1.7× 65 0.7× 46 0.9× 35 544
Mosayyeb Kamari Iran 11 344 1.1× 234 0.9× 213 1.4× 55 0.6× 32 0.7× 13 467

Countries citing papers authored by Ahmed Gowida

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Gowida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Gowida

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Gowida. A scholar is included among the top collaborators of Ahmed Gowida 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 Ahmed Gowida. Ahmed Gowida 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.
Adjei, Stephen, et al.. (2025). Optimized Gradient Boosting Models for Adaptive Prediction of Uniaxial Compressive Strength in Carbonate Rocks Using Drilling Data. ACS Omega. 10(11). 11016–11026. 1 indexed citations
3.
Gowida, Ahmed, et al.. (2024). Experimental study on an eco-friendly gemini foaming agent for enhancing foam drilling applications. Journal of Petroleum Exploration and Production Technology. 14(7). 1995–2010. 5 indexed citations
4.
Gowida, Ahmed, Salaheldin Elkatatny, & Dhafer Al Shehri. (2024). Foam Properties Evaluation under Harsh Conditions: Implications for Enhanced Eco-Friendly Underbalanced Drilling Practices. SPE Journal. 29(11). 5929–5940. 3 indexed citations
5.
Gowida, Ahmed, Ahmed A. Farid, & Salaheldin Elkatatny. (2024). Foam Stability Analysis at High pH and Saline Environments for Underbalanced Drilling Operations. Arabian Journal for Science and Engineering. 49(6). 8803–8817. 2 indexed citations
6.
Hassan, Anas M., et al.. (2024). Experimental Studies of Polymer Degradation in Carbonates Under Challenging Conditions. Offshore Technology Conference. 1 indexed citations
7.
Gowida, Ahmed, Salaheldin Elkatatny, & Ahmed Farid Ibrahim. (2024). Impact of Eco-Friendly Drilling Additives on Foaming Properties for Sustainable Underbalanced Foam Drilling Applications. ACS Omega. 9(6). 6719–6730. 7 indexed citations
8.
Gowida, Ahmed, Salaheldin Elkatatny, Ahmed Farid Ibrahim, & Muhammad Shahzad Kamal. (2023). Impact of Pressure and Temperature on Foam Behavior for Enhanced Underbalanced Drilling Operations. ACS Omega. 9(1). 1042–1055. 15 indexed citations
9.
Alqubalee, Abdullah, et al.. (2023). Decision Tree Ensembles for Automatic Identification of Lithology. 2 indexed citations
10.
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
11.
Gowida, Ahmed, Ahmed Farid Ibrahim, & Salaheldin Elkatatny. (2022). A hybrid data-driven solution to facilitate safe mud window prediction. Scientific Reports. 12(1). 15773–15773. 4 indexed citations
12.
Ahmed, Abdulmalek, Ahmed Abdulhamid Mahmoud, Ahmed Gowida, & Salaheldin Elkatatny. (2022). Influence of Curing Time on Oil Well Cement Properties Using Nanoclay. 2 indexed citations
13.
Alafnan, Saad, et al.. (2021). Langmuir adsorption isotherm in unconventional resources: Applicability and limitations. Journal of Petroleum Science and Engineering. 207. 109172–109172. 124 indexed citations
14.
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
15.
Ibrahim, Ahmed Farid, Ahmed Gowida, Abdulwahab Ali, & Salaheldin Elkatatny. (2021). Machine learning application to predict in-situ stresses from logging data. Scientific Reports. 11(1). 23445–23445. 33 indexed citations
16.
Ibrahim, Ahmed Farid, Ahmed Gowida, Abdulwahab Ali, & Salaheldin Elkatatny. (2021). Real-time prediction of in-situ stresses while drilling using surface drilling parameters from gas reservoir. Journal of Natural Gas Science and Engineering. 97. 104368–104368. 9 indexed citations
17.
Gowida, Ahmed, et al.. (2021). Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations. Geofluids. 2021. 1–17. 34 indexed citations
18.
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
19.
Gowida, Ahmed, Salaheldin Elkatatny, & Abdulazeez Abdulraheem. (2019). APPLICATION OF ARTIFICIAL NEURAL NETWORK TO PREDICT FORMATION BULK DENSITY WHILE DRILLING. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 60(5). 660–674. 22 indexed citations
20.
Gowida, Ahmed, et al.. (2018). Cement Evaluation Challenges. SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. 11 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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