Mohammed S. El-Abbasy

833 total citations
21 papers, 644 citations indexed

About

Mohammed S. El-Abbasy is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Management Science and Operations Research. According to data from OpenAlex, Mohammed S. El-Abbasy has authored 21 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 7 papers in Civil and Structural Engineering and 7 papers in Management Science and Operations Research. Recurrent topics in Mohammed S. El-Abbasy's work include Structural Integrity and Reliability Analysis (10 papers), BIM and Construction Integration (6 papers) and Water Systems and Optimization (6 papers). Mohammed S. El-Abbasy is often cited by papers focused on Structural Integrity and Reliability Analysis (10 papers), BIM and Construction Integration (6 papers) and Water Systems and Optimization (6 papers). Mohammed S. El-Abbasy collaborates with scholars based in Canada, Qatar and United States. Mohammed S. El-Abbasy's co-authors include Tarek Zayed, Ahmed Senouci, Farid Mirahadi, Ashraf Elazouni, Mona Abouhamad, Hassan Al-Derham, Ossama Hosny, Ghasan Alfalah, Sabah Alkass and Ahmed Elhakeem and has published in prestigious journals such as Expert Systems with Applications, Automation in Construction and Computers & Industrial Engineering.

In The Last Decade

Mohammed S. El-Abbasy

21 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed S. El-Abbasy Canada 14 221 214 184 177 104 21 644
Ridwan Taiwo Hong Kong 14 220 1.0× 68 0.3× 134 0.7× 39 0.2× 43 0.4× 35 546
Farid Mirahadi Canada 8 131 0.6× 156 0.7× 138 0.8× 42 0.2× 199 1.9× 9 481
Ahmet Öztaş Türkiye 11 742 3.4× 74 0.3× 452 2.5× 257 1.5× 25 0.2× 22 1.1k
Yaghob Gholipour Iran 14 413 1.9× 59 0.3× 280 1.5× 57 0.3× 15 0.1× 34 811
Jung Sik Kong South Korea 13 918 4.2× 123 0.6× 165 0.9× 50 0.3× 58 0.6× 32 1.1k
Angélica Lozano Mexico 14 144 0.7× 80 0.4× 266 1.4× 12 0.1× 17 0.2× 47 651
Tao-Ming Cheng Taiwan 10 135 0.6× 26 0.1× 189 1.0× 117 0.7× 27 0.3× 32 500
Ömer Özkan Türkiye 12 451 2.0× 72 0.3× 306 1.7× 35 0.2× 9 0.1× 50 777
Ghasan Alfalah Saudi Arabia 12 126 0.6× 34 0.2× 146 0.8× 44 0.2× 22 0.2× 47 366
Kiyoyuki KAITO Japan 14 641 2.9× 188 0.9× 79 0.4× 43 0.2× 28 0.3× 121 780

Countries citing papers authored by Mohammed S. El-Abbasy

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed S. El-Abbasy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed S. El-Abbasy. 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 Mohammed S. El-Abbasy. The network helps show where Mohammed S. El-Abbasy may publish in the future.

Co-authorship network of co-authors of Mohammed S. El-Abbasy

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed S. El-Abbasy. A scholar is included among the top collaborators of Mohammed S. El-Abbasy 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 Mohammed S. El-Abbasy. Mohammed S. El-Abbasy 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.
El-Abbasy, Mohammed S., et al.. (2022). Optimized maintenance plan for oil and gas pipelines. Canadian Journal of Civil Engineering. 49(7). 1151–1162. 1 indexed citations
2.
El-Abbasy, Mohammed S., et al.. (2021). Synchronized scheduling model for container terminals using simulated double-cycling strategy. Computers & Industrial Engineering. 154. 107118–107118. 24 indexed citations
3.
El-Abbasy, Mohammed S., et al.. (2020). Multi-level fleet size optimization for containers handling using double-cycling strategy. Expert Systems with Applications. 170. 114526–114526. 2 indexed citations
4.
El-Abbasy, Mohammed S., Ashraf Elazouni, & Tarek Zayed. (2020). Finance-based scheduling multi-objective optimization: Benchmarking of evolutionary algorithms. Automation in Construction. 120. 103392–103392. 36 indexed citations
5.
El-Abbasy, Mohammed S., et al.. (2019). Simulation-based deterioration patterns of water pipelines. Structure and Infrastructure Engineering. 15(7). 965–982. 11 indexed citations
6.
Senouci, Ahmed, et al.. (2017). Deterioration Assessment Models For Water Pipelines. Zenodo (CERN European Organization for Nuclear Research). 11(7). 1013–1022. 8 indexed citations
7.
El-Abbasy, Mohammed S., Ashraf Elazouni, & Tarek Zayed. (2017). Generic Scheduling Optimization Model for Multiple Construction Projects. Journal of Computing in Civil Engineering. 31(4). 46 indexed citations
8.
Zayed, Tarek, et al.. (2016). Evidential Reasoning–Based Condition Assessment Model for Offshore Gas Pipelines. Journal of Performance of Constructed Facilities. 30(6). 7 indexed citations
9.
El-Abbasy, Mohammed S., et al.. (2016). Integrated performance assessment model for water distribution networks. Structure and Infrastructure Engineering. 1–20. 17 indexed citations
10.
El-Abbasy, Mohammed S., et al.. (2016). Locating Leaks in Water Mains Using Noise Loggers. Journal of Infrastructure Systems. 22(3). 38 indexed citations
11.
El-Abbasy, Mohammed S., et al.. (2015). Multi-Criteria Decision Making Models for Water Pipelines. Journal of Performance of Constructed Facilities. 30(4). 28 indexed citations
12.
El-Abbasy, Mohammed S., et al.. (2014). Unpiggable Oil and Gas Pipeline Condition Forecasting Models. Journal of Performance of Constructed Facilities. 30(1). 23 indexed citations
13.
El-Abbasy, Mohammed S., et al.. (2014). A condition assessment model for oil and gas pipelines using integrated simulation and analytic network process. Structure and Infrastructure Engineering. 11(3). 263–281. 34 indexed citations
14.
Senouci, Ahmed, et al.. (2014). Condition-based maintenance decision support system for oil and gas pipelines. Structure and Infrastructure Engineering. 11(10). 1323–1337. 28 indexed citations
15.
El-Abbasy, Mohammed S., et al.. (2014). Condition Prediction Models for Oil and Gas Pipelines Using Regression Analysis. Journal of Construction Engineering and Management. 140(6). 43 indexed citations
16.
El-Abbasy, Mohammed S., et al.. (2014). Artificial neural network models for predicting condition of offshore oil and gas pipelines. Automation in Construction. 45. 50–65. 165 indexed citations
17.
El-Abbasy, Mohammed S., et al.. (2013). Contractor Selection Model for Highway Projects Using Integrated Simulation and Analytic Network Process. Journal of Construction Engineering and Management. 139(7). 755–767. 64 indexed citations
18.
El-Abbasy, Mohammed S.. (2013). Predicting offshore oil and gas pipelines condition. 2 indexed citations
19.
Elbeltagi, Emad, et al.. (2012). Fuzzy Logic Model for Selection of Vertical Formwork Systems. Journal of Construction Engineering and Management. 138(7). 832–840. 23 indexed citations
20.
El-Abbasy, Mohammed S., Tarek Zayed, & Ashraf Elazouni. (2012). Finance-Based Scheduling for Multiple Projects with Multimode Activities. Construction Research Congress 2012. 386–396. 5 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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2026