Nehal Elshaboury

1.4k total citations
93 papers, 917 citations indexed

About

Nehal Elshaboury is a scholar working on Building and Construction, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Nehal Elshaboury has authored 93 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Building and Construction, 27 papers in Environmental Engineering and 22 papers in Civil and Structural Engineering. Recurrent topics in Nehal Elshaboury's work include Hydrological Forecasting Using AI (20 papers), BIM and Construction Integration (18 papers) and Construction Project Management and Performance (13 papers). Nehal Elshaboury is often cited by papers focused on Hydrological Forecasting Using AI (20 papers), BIM and Construction Integration (18 papers) and Construction Project Management and Performance (13 papers). Nehal Elshaboury collaborates with scholars based in Egypt, Saudi Arabia and Algeria. Nehal Elshaboury's co-authors include Mohamed Marzouk, Eslam Mohammed Abdelkader, Mohammed Achite, Abobakr Al-Sakkaf, Ghasan Alfalah, Muhammad Jehanzaib, Shimaa Azab, Tae‐Woong Kim, Okan Mert Katipoğlu and Ahmed Farouk Kineber and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Nehal Elshaboury

82 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nehal Elshaboury Egypt 18 264 222 207 168 154 93 917
Debaditya Chakraborty United States 18 381 1.4× 283 1.3× 144 0.7× 142 0.8× 226 1.5× 34 1.2k
Yuexiong Ding Hong Kong 11 168 0.6× 576 2.6× 148 0.7× 112 0.7× 66 0.4× 23 1.1k
Feifeng Jiang Hong Kong 20 394 1.5× 558 2.5× 245 1.2× 123 0.7× 63 0.4× 37 1.4k
Nazli Yonca Aydin Netherlands 13 113 0.4× 142 0.6× 181 0.9× 69 0.4× 261 1.7× 27 1.1k
Pezhman Taherei Ghazvinei Iran 7 51 0.2× 138 0.6× 137 0.7× 105 0.6× 91 0.6× 19 597
Mevlüt Uyan Türkiye 14 177 0.7× 182 0.8× 139 0.7× 84 0.5× 28 0.2× 33 1.2k
Jehng‐Jung Kao Taiwan 17 185 0.7× 185 0.8× 60 0.3× 97 0.6× 139 0.9× 46 833
Jin Zhu United States 16 192 0.7× 186 0.8× 131 0.6× 74 0.4× 258 1.7× 62 962
Eslam Mohammed Abdelkader Egypt 18 274 1.0× 113 0.5× 53 0.3× 56 0.3× 457 3.0× 85 1.0k
Franz Tscheikner-Gratl Norway 16 59 0.2× 283 1.3× 172 0.8× 207 1.2× 328 2.1× 47 754

Countries citing papers authored by Nehal Elshaboury

Since Specialization
Citations

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

Fields of papers citing papers by Nehal Elshaboury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nehal Elshaboury

This figure shows the co-authorship network connecting the top 25 collaborators of Nehal Elshaboury. A scholar is included among the top collaborators of Nehal Elshaboury 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 Nehal Elshaboury. Nehal Elshaboury 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.
2.
Taiwo, Ridwan, Tarek Zayed, Nehal Elshaboury, Ghasan Alfalah, & Eslam Mohammed Abdelkader. (2025). Promoting sustainable water distribution networks: Modeling of water pipe failure factors and modes. Cleaner Engineering and Technology. 26. 100969–100969.
3.
Ali, Eslam, et al.. (2025). Revealing critical pipes in water networks through integrated edge centrality and multi-criteria vulnerability analysis. Water Research X. 28. 100366–100366. 1 indexed citations
4.
Achite, Mohammed, et al.. (2025). Evaluating performances of SVR, HBA–SVR, and COOT–SVR techniques: monthly evaporation modeling in Algeria. Euro-Mediterranean Journal for Environmental Integration. 10(6). 5333–5350.
5.
Wang, Lina, Daniel W.M. Chan, Zeshui Xu, & Nehal Elshaboury. (2024). Assessing construction workforce diversity of skills and education with the probabilistic linguistic fuzzy Petri net. Information Sciences. 676. 120869–120869. 1 indexed citations
6.
Elmousalami, Haytham H., Nehal Elshaboury, & Ahmed Elyamany. (2024). Green artificial intelligence for cost-duration variance prediction (CDVP) for irrigation canals rehabilitation projects. Expert Systems with Applications. 249. 123789–123789. 14 indexed citations
7.
Maged, Ahmed, Nehal Elshaboury, & Lukman Akanbi. (2024). Data-driven prediction of construction and demolition waste generation using limited datasets in developing countries: an optimized extreme gradient boosting approach. Environment Development and Sustainability. 27(11). 26865–26889. 15 indexed citations
8.
Abdelkader, Eslam Mohammed, Tarek Zayed, & Nehal Elshaboury. (2024). A novel hybrid fuzzy analytical hierarchy process–game theory model for prioritizing factors affecting the deterioration of water pipelines. Applied Water Science. 14(12). 3 indexed citations
9.
Katipoğlu, Okan Mert, Mehdi Bahrami, Nehal Elshaboury, et al.. (2024). Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition. Journal of Hydrology Regional Studies. 54. 101861–101861. 5 indexed citations
10.
Achite, Mohammed, et al.. (2024). A combined support vector regression with a firefly algorithm for prediction of energy consumption in wastewater treatment plants. Water Science & Technology. 90(10). 2747–2763. 1 indexed citations
11.
Seghier, Mohamed El Amine Ben, et al.. (2024). Two-stage framework for lateral-torsional buckling resistance prediction of cellular steel beams under fire conditions. Structures. 68. 107157–107157. 2 indexed citations
12.
Alfalah, Ghasan, et al.. (2023). Development of Fire Safety Assessment Model for Buildings Using Analytic Hierarchy Process. Applied Sciences. 13(13). 7740–7740. 6 indexed citations
13.
Anaraki, Mahdi Valikhan, Mohammed Achite, Saeed Farzin, et al.. (2023). Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria. Water. 15(20). 3576–3576. 21 indexed citations
14.
Elshaboury, Nehal, et al.. (2023). Modeling construction and demolition waste quantities in Tanta City, Egypt: a synergistic approach of remote sensing, geographic information system, and hybrid fuzzy neural networks. Environmental Science and Pollution Research. 30(48). 106533–106548. 13 indexed citations
15.
Alfalah, Ghasan, et al.. (2023). Assessing life cycle cost and environmental impact for office building construction in Saudi Arabia. Journal of Asian Architecture and Building Engineering. 23(6). 1854–1873. 2 indexed citations
16.
Achite, Mohammed, Gökmen Çeribaşı, Andrzej Wałęga, et al.. (2023). Analysis of monthly average precipitation of Wadi Ouahrane basin in Algeria by using the ITRA, ITPAM, and TPS methods. Environmental Monitoring and Assessment. 195(5). 606–606. 13 indexed citations
17.
Alfalah, Ghasan, Abobakr Al-Sakkaf, Nehal Elshaboury, & Eslam Mohammed Abdelkader. (2021). An Extensive Comparison between Architectural Software’s of ArchiCAD® and Revit®. NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO. 4268–4277.
18.
Marzouk, Mohamed, et al.. (2021). Green building system integration into project delivery utilising BIM. Environment Development and Sustainability. 24(5). 6467–6480. 20 indexed citations
19.
Elshaboury, Nehal & Mohamed Marzouk. (2020). Comparing Machine Learning Models For Predicting Water Pipelines Condition. 134–139. 9 indexed citations
20.
Elshaboury, Nehal, et al.. (2020). Application of Evolutionary Optimization Algorithms for Rehabilitation of Water Distribution Networks. Journal of Construction Engineering and Management. 146(7). 33 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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