Bilel Zeroualı

995 total citations
54 papers, 633 citations indexed

About

Bilel Zeroualı is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Bilel Zeroualı has authored 54 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 24 papers in Environmental Engineering and 14 papers in Water Science and Technology. Recurrent topics in Bilel Zeroualı's work include Hydrological Forecasting Using AI (18 papers), Hydrology and Drought Analysis (11 papers) and Hydrology and Watershed Management Studies (11 papers). Bilel Zeroualı is often cited by papers focused on Hydrological Forecasting Using AI (18 papers), Hydrology and Drought Analysis (11 papers) and Hydrology and Watershed Management Studies (11 papers). Bilel Zeroualı collaborates with scholars based in Algeria, Egypt and Brazil. Bilel Zeroualı's co-authors include Celso Augusto Guimarães Santos, Ahmed Elbeltagi, Mohamed Chettih, Nadjem Bailek, Richarde Marques da Silva, Enas E. Hussein, El‐Sayed M. El‐kenawy, Nadhir Al‐Ansari, Alban Kuriqi and Yong Jie Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Bilel Zeroualı

45 papers receiving 625 citations

Peers

Bilel Zeroualı
Bilel Zeroualı
Citations per year, relative to Bilel Zeroualı Bilel Zeroualı (= 1×) peers Hamid Zare Abyaneh

Countries citing papers authored by Bilel Zeroualı

Since Specialization
Citations

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

Fields of papers citing papers by Bilel Zeroualı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bilel Zeroualı

This figure shows the co-authorship network connecting the top 25 collaborators of Bilel Zeroualı. A scholar is included among the top collaborators of Bilel Zeroualı 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 Bilel Zeroualı. Bilel Zeroualı 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.
Salem, Ali, et al.. (2025). Rainfall variability for crop water management under changing climate in Himachal Pradesh. Applied Water Science. 15(12).
2.
Zeroualı, Bilel, et al.. (2025). Decision-support approaches for sustainable water resource management in northwest Algeria. Journal of Ecological Engineering. 26(7). 24–43.
3.
Zeroualı, Bilel, Saleh Qaysi, Richarde Marques da Silva, et al.. (2025). Advanced forest fire risk mapping: Combining Sentinel-2 MSI data with hybrid machine learning in Similipal Biosphere Reserve. Forest Ecology and Management. 594. 122931–122931. 10 indexed citations
4.
Zeroualı, Bilel, et al.. (2025). Next-generation runoff prediction: Merging RFE, SHAP insights, and satellite data with innovative deep learning techniques. Journal of Hydrology Regional Studies. 62. 102870–102870.
5.
Bailek, Nadjem, Lotfi Mouni, Shabana Urooj, et al.. (2025). Enhanced hourly temperature prediction using advanced ensemble neural networks for energy system efficiency optimization in hyper-arid regions. AIP Advances. 15(4). 1 indexed citations
6.
Elbeltagi, Ahmed, Aman Srivastava, Xinchun Cao, et al.. (2025). Bayesian-optimized machine learning boosts actual evapotranspiration prediction in water-stressed agricultural regions of China. Scientific Reports. 15(1). 37548–37548.
7.
Zeroualı, Bilel, Nadjem Bailek, Saleh Qaysi, et al.. (2025). Hybrid machine learning optimization for solar radiation forecasting. Physics and Chemistry of the Earth Parts A/B/C. 140. 104052–104052. 1 indexed citations
8.
Zeroualı, Bilel, et al.. (2025). Urban expansion and its environmental impacts in northwestern Algeria using cellular automata-Markov-chain modeling. Modeling Earth Systems and Environment. 11(3). 1 indexed citations
9.
Rajput, Jitendra, Nand Lal Kushwaha, Aman Srivastava, et al.. (2025). Developing machine learning models for predicting daily relative humidity and solar radiation using lagged time series data inputs in a semi-arid climate. Journal of Atmospheric and Solar-Terrestrial Physics. 276. 106619–106619. 2 indexed citations
10.
Santos, Celso Augusto Guimarães, et al.. (2024). Coastal evolution and future projections in Conde County, Brazil: A multi-decadal assessment via remote sensing and sea-level rise scenarios. The Science of The Total Environment. 915. 169829–169829. 12 indexed citations
11.
Zeroualı, Bilel, Nadjem Bailek, Abu Reza Md. Towfiqul Islam, et al.. (2024). Enhancing groundwater potential zone mapping with a hybrid analytical method: The case of semiarid basin. Groundwater for Sustainable Development. 26. 101261–101261. 10 indexed citations
12.
Zeroualı, Bilel, Nadjem Bailek, Alban Kuriqi, et al.. (2024). RUSLE model insights for soil conservation and sustainable land use in semiarid environments. Euro-Mediterranean Journal for Environmental Integration. 10(2). 853–876. 3 indexed citations
13.
Bailek, Nadjem, Mostafa Abotaleb, Kada Bouchouicha, et al.. (2024). Hybrid attention-based deep neural networks for short-term wind power forecasting using meteorological data in desert regions. Scientific Reports. 14(1). 21842–21842. 17 indexed citations
14.
Zeroualı, Bilel, Ahmed Elbeltagi, Mamdooh Alwetaishi, et al.. (2023). Enhancing Sustainable Urban Planning through GIS and Multiple-Criteria Decision Analysis: A Case Study of Green Space Infrastructure in Taif Province, Saudi Arabia. Water. 15(17). 3031–3031. 19 indexed citations
15.
Srivastava, Ankur, et al.. (2023). On the role of land-surface hydrology schemes in simulating the daily maximum and minimum air temperatures of Australia using a regional climate model (RegCM4). Journal of Water and Climate Change. 14(3). 989–1011. 4 indexed citations
16.
Zeroualı, Bilel, et al.. (2023). Change-point detection in monsoon rainfall of Narmada River (central India) during 1901–2015. Journal of Earth System Science. 132(3). 8 indexed citations
17.
Maqsoom, Ahsen, Muwaffaq Alqurashi, Wesam Salah Alaloul, et al.. (2021). Intrinsic Workforce Diversity and Construction Worker Productivity in Pakistan: Impact of Employee Age and Industry Experience. Sustainability. 14(1). 232–232. 9 indexed citations
18.
Maqsoom, Ahsen, Bilal Aslam, Mamdooh Alwetaishi, et al.. (2021). A GIS-Based Groundwater Contamination Assessment Using Modified DRASTIC Geospatial Technique. Water. 13(20). 2868–2868. 12 indexed citations
19.
Zeroualı, Bilel, et al.. (2021). An Enhanced Innovative Triangular Trend Analysis of Rainfall Based on a Spectral Approach. Water. 13(5). 727–727. 18 indexed citations
20.
Zeroualı, Bilel, et al.. (2020). A novel comprehensive framework for analyzing and assessing water quality and failure consequences based on Bayesian networks. Water Environment Research. 93(5). 738–749. 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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