Emran Alotaibi

434 total citations
29 papers, 244 citations indexed

About

Emran Alotaibi is a scholar working on Civil and Structural Engineering, Building and Construction and Environmental Engineering. According to data from OpenAlex, Emran Alotaibi has authored 29 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Civil and Structural Engineering, 8 papers in Building and Construction and 6 papers in Environmental Engineering. Recurrent topics in Emran Alotaibi's work include Geotechnical Engineering and Soil Stabilization (5 papers), Structural Behavior of Reinforced Concrete (5 papers) and Microbial Applications in Construction Materials (4 papers). Emran Alotaibi is often cited by papers focused on Geotechnical Engineering and Soil Stabilization (5 papers), Structural Behavior of Reinforced Concrete (5 papers) and Microbial Applications in Construction Materials (4 papers). Emran Alotaibi collaborates with scholars based in United Arab Emirates, Egypt and Jordan. Emran Alotaibi's co-authors include Maher Omar, Mohamed G. Arab, Samer Barakat, Mohamed Abdallah, Abdallah Shanableh, Waleed Zeiada, Mohammed Y. Fattah, Mohd Ahmad Al-Hawari, Semiyu Adejare Aderibigbe and Osama Badr and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Structural Engineering.

In The Last Decade

Emran Alotaibi

26 papers receiving 235 citations

Peers

Emran Alotaibi

CSE

SRRQ

Jonathan R. Dungca Philippines

Jianyong Shi China

Mohsin Usman Qureshi Oman

J. A. S. C. Jayasinghe Sri Lanka

Amir Ali Malaysia

Guobin Gong China

Ary Setyawan Indonesia

Zakaria Hossain Japan

Ali Mollahasani Iran

Hisham Mohamad Malaysia

Jonathan R. Dungca Philippines

Emran Alotaibi

204 ×1.4

CSE

25 ×0.4

88 ×1.8

30 ×1.1

SRRQ

12 ×0.6

Citations per year, relative to Emran Alotaibi Emran Alotaibi (= 1×) peers Jonathan R. Dungca

Countries citing papers authored by Emran Alotaibi

Since Specialization

Citations

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

Fields of papers citing papers by Emran Alotaibi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emran Alotaibi

This figure shows the co-authorship network connecting the top 25 collaborators of Emran Alotaibi. A scholar is included among the top collaborators of Emran Alotaibi 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 Emran Alotaibi. Emran Alotaibi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hamad, Khaled, Emran Alotaibi, Ghazi G. Al-Khateeb, et al.. (2025). Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations. SHILAP Revista de lepidopterología. 4(2). 100209–100209. 2 indexed citations

Hamad, Khaled, et al.. (2025). State-of-the-art review of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) for traffic and safety analyses: Recent progress, applications, challenges, and opportunities. Transportation Research Interdisciplinary Perspectives. 33. 101591–101591.

Arab, Mohamed G., et al.. (2025). Benchmarking Conventional Machine Learning Models for Dynamic Soil Property Prediction. Buildings. 15(22). 4188–4188.

Omar, Maher, Mohamed G. Arab, Emran Alotaibi, et al.. (2024). Natural soils’ shear strength prediction: A morphological data-centric approach. SOILS AND FOUNDATIONS. 64(6). 101527–101527. 2 indexed citations

Arab, Mohamed G., et al.. (2024). Optimizing the Compressive Strength of Sodium Alginate-Modified EICP-Treated Sand Using Design of Experiments. Journal of Materials in Civil Engineering. 36(4). 18 indexed citations

Al-Hawari, Mohd Ahmad, et al.. (2023). Exploring the Impact of Front-Line Employees’ Extra Role Behavior on Student Loyalty and Retention in a Semi-Government University in the UAE. Education Sciences. 13(10). 997–997. 2 indexed citations

Alotaibi, Emran, et al.. (2023). Prediction of Concrete Modulus of Elasticity Using Deep Learning. Advances in science and technology. 129. 29–36. 1 indexed citations

Omar, Maher, et al.. (2023). Harnessing Nature-Inspired Soft Computing for Reinforced Soil Bearing Capacity Prediction: A Neuro-nomograph Approach for Efficient Design. International Journal of Geosynthetics and Ground Engineering. 9(4). 11 indexed citations

Alotaibi, Emran, et al.. (2023). Assessment of Drowsy Driving Associated Characteristics Using Deep Learning. Advances in science and technology. 129. 197–205. 3 indexed citations

10.

Aderibigbe, Semiyu Adejare, et al.. (2023). Exploring the Impact of Peer Mentoring on Computer-Supported Collaborative Learning among Undergraduate Students. International Journal of Emerging Technologies in Learning (iJET). 18(13). 4–20. 1 indexed citations

11.

Al-Hawari, Mohd Ahmad, et al.. (2023). Improving student retention in higher education institutions – Exploring the factors influencing employees extra-role behavior. Journal of Open Innovation Technology Market and Complexity. 9(3). 100128–100128. 13 indexed citations

12.

Al-Sadoon, Zaid A., et al.. (2023). AI-Driven Prediction of Tunneling Squeezing: Comparing Rock Classification Systems. Geotechnical and Geological Engineering. 42(3). 2127–2149. 10 indexed citations

13.

Hamad, Khaled, et al.. (2023). Application of Machine Learning Techniques to Predict Unconfined Compressive Strength of Sedimentary Rocks in UAE. 1–6. 4 indexed citations

14.

Alotaibi, Emran, et al.. (2022). Life cycle assessment of biocemented sands using enzyme induced carbonate precipitation (EICP) for soil stabilization applications. Scientific Reports. 12(1). 6032–6032. 33 indexed citations

15.

Alotaibi, Emran, et al.. (2022). Prediction of Punching Shear Capacity for Fiber-Reinforced Polymer Concrete Slabs Using Machine Learning. 2022 Advances in Science and Engineering Technology International Conferences (ASET). 1–6. 9 indexed citations

16.

Alotaibi, Emran, Mohamed G. Arab, & Maher Omar. (2022). Combination of Enzyme-Induced Calcium Carbonate Precipitation (EICP) and Macro-Synthetic Fibers for Soil Improvement. Geo-Congress 2022. 408–417. 6 indexed citations

17.

Alotaibi, Emran, et al.. (2022). Prediction of Fine-Grained Soils Shrinkage Limits Using Artificial Neural Networks. 2022 Advances in Science and Engineering Technology International Conferences (ASET). 1–5. 8 indexed citations

18.

Alotaibi, Emran, et al.. (2022). Reliability-based calibration for punching shear reduction factor for FRP reinforced slabs. 2022 Advances in Science and Engineering Technology International Conferences (ASET). 13. 1–6. 2 indexed citations

19.

Alotaibi, Emran, Maher Omar, Abdallah Shanableh, et al.. (2021). Geogrid bridging over existing shallow flexible PVC buried pipe – Experimental study. Tunnelling and Underground Space Technology. 113. 103945–103945. 21 indexed citations

20.

Arab, Mohamed G., et al.. (2020). Bio-Inspired 3D-Printed Honeycomb for Soil Reinforcement. Geo-Congress 2020. 262–271. 17 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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