Ali El Bilali

1.2k total citations
33 papers, 878 citations indexed

About

Ali El Bilali is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Ali El Bilali has authored 33 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Water Science and Technology, 16 papers in Environmental Engineering and 13 papers in Global and Planetary Change. Recurrent topics in Ali El Bilali's work include Hydrology and Watershed Management Studies (17 papers), Hydrological Forecasting Using AI (15 papers) and Flood Risk Assessment and Management (8 papers). Ali El Bilali is often cited by papers focused on Hydrology and Watershed Management Studies (17 papers), Hydrological Forecasting Using AI (15 papers) and Flood Risk Assessment and Management (8 papers). Ali El Bilali collaborates with scholars based in Morocco, France and Egypt. Ali El Bilali's co-authors include Abdeslam Taleb, Youssef Brouziyne, Ahmed Elbeltagi, Abdelghani Chehbouni, Abdessamad Hadri, Ilias Kacimi, Gil Mahé, Rachid Moussadek, Özgür Kişi and Latifa Mouhir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Ali El Bilali

29 papers receiving 847 citations

Peers

Ali El Bilali
Akram Seifi Iran
Mohammad Taghi Aalami Iran
Basant Yadav India
Seyed Babak Haji Seyed Asadollah Iran
Srinivas Pasupuleti India
Youssef Brouziyne Morocco
M. Suresh India
Emanuele Barca Italy
Mustafa El-Rawy Egypt
Akram Seifi Iran
Ali El Bilali
Citations per year, relative to Ali El Bilali Ali El Bilali (= 1×) peers Akram Seifi

Countries citing papers authored by Ali El Bilali

Since Specialization
Citations

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

Fields of papers citing papers by Ali El Bilali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali El Bilali. 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 Ali El Bilali. The network helps show where Ali El Bilali may publish in the future.

Co-authorship network of co-authors of Ali El Bilali

This figure shows the co-authorship network connecting the top 25 collaborators of Ali El Bilali. A scholar is included among the top collaborators of Ali El Bilali 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 Ali El Bilali. Ali El Bilali 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.
Elbeltagi, Ahmed, Aman Srivastava, Xinchun Cao, et al.. (2025). An interpretable machine learning approach based on SHAP, Sobol and LIME values for precise estimation of daily soybean crop coefficients. Scientific Reports. 15(1). 36594–36594. 1 indexed citations
2.
Bilali, Ali El, Abdessamad Hadri, Abdeslam Taleb, et al.. (2025). A novel hybrid modeling approach based on empirical methods, PSO, XGBoost, and multiple GCMs for forecasting long-term reference evapotranspiration in a data scarce-area. Computers and Electronics in Agriculture. 232. 110106–110106. 13 indexed citations
3.
Bilali, Ali El & Abdeslam Taleb. (2024). State-of-the art-on irrigation water quality management using data-driven methods: Practical application, limitations, and prospective directions. Physics and Chemistry of the Earth Parts A/B/C. 136. 103794–103794. 2 indexed citations
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Bilali, Ali El, et al.. (2024). Developing an explainable and interpretable machine learning model for flood susceptibility mapping. Ecological Engineering & Environmental Technology. 26(1). 201–215. 3 indexed citations
6.
Bilali, Ali El, et al.. (2024). Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability. Environmental Science and Pollution Research. 31(34). 47237–47257. 5 indexed citations
7.
Mouhir, Latifa, et al.. (2024). Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration. International Journal of Sediment Research. 40(1). 91–107. 16 indexed citations
8.
Mouhir, Latifa, Rachid Moussadek, Bouamar Baghdad, et al.. (2023). Statistical analysis of a systematic review on soil water erosion assessment in Morocco.
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Brouziyne, Youssef, Ali El Bilali, Terence Épule Épule, et al.. (2023). Towards Lower Greenhouse Gas Emissions Agriculture in North Africa through Climate-Smart Agriculture: A Systematic Review. Climate. 11(7). 139–139. 11 indexed citations
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Bilali, Ali El, et al.. (2022). An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation. Journal of Environmental Management. 327. 116890–116890. 119 indexed citations
15.
Bilali, Ali El, et al.. (2022). Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling. Environmental Science and Pollution Research. 29(31). 47382–47398. 23 indexed citations
16.
Bilali, Ali El, et al.. (2022). A practical probabilistic approach for simulating life loss in an urban area associated with a dam-break flood. International Journal of Disaster Risk Reduction. 76. 103011–103011. 27 indexed citations
17.
Brouziyne, Youssef, Salwa Belaqziz, Lahcen Benaabidate, et al.. (2021). Modeling long term response of environmental flow attributes to future climate change in a North African watershed (Bouregreg watershed, Morocco). Ecohydrology & Hydrobiology. 22(1). 155–167. 18 indexed citations
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Bilali, Ali El, et al.. (2020). Prediction of chemical water quality used for drinking purposes based on artificial neural networks. Moroccan Journal of chemistry. 8(3). 14 indexed citations
20.
Bilali, Ali El & Abdeslam Taleb. (2020). Prediction of irrigation water quality parameters using machine learning models in a semi-arid environment. Journal of the Saudi Society of Agricultural Sciences. 19(7). 439–451. 112 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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