Hussein Al-Bugharbee

1.1k total citations
35 papers, 843 citations indexed

About

Hussein Al-Bugharbee is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Hussein Al-Bugharbee has authored 35 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 13 papers in Electrical and Electronic Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Hussein Al-Bugharbee's work include Hydrological Forecasting Using AI (16 papers), Energy Load and Power Forecasting (13 papers) and Water resources management and optimization (9 papers). Hussein Al-Bugharbee is often cited by papers focused on Hydrological Forecasting Using AI (16 papers), Energy Load and Power Forecasting (13 papers) and Water resources management and optimization (9 papers). Hussein Al-Bugharbee collaborates with scholars based in Iraq, United Kingdom and Malaysia. Hussein Al-Bugharbee's co-authors include Salah L. Zubaidi, Khalid Hashim, Rafid Alkhaddar, Sadik Kamel Gharghan, Irina Trendafilova, Patryk Kot, Sandra Ortega‐Martorell, Iván Olier, Nabeel Saleem Saad Al-Bdairi and Hussein Mohammed Ridha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hydrology.

In The Last Decade

Hussein Al-Bugharbee

33 papers receiving 821 citations

Peers

Hussein Al-Bugharbee
Xiupeng Wei United States
Mehmet Ali Yurdusev Türkiye
Mahdi Valikhan Anaraki Iran
Xin Tian Netherlands
Yinghai Li China
Sarmad Dashti Latif Malaysia
Kunlun Xin China
Angela Marchi Australia
N. Natarajan India
Juan Martínez Spain
Xiupeng Wei United States
Hussein Al-Bugharbee
Citations per year, relative to Hussein Al-Bugharbee Hussein Al-Bugharbee (= 1×) peers Xiupeng Wei

Countries citing papers authored by Hussein Al-Bugharbee

Since Specialization
Citations

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

Fields of papers citing papers by Hussein Al-Bugharbee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hussein Al-Bugharbee. 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 Hussein Al-Bugharbee. The network helps show where Hussein Al-Bugharbee may publish in the future.

Co-authorship network of co-authors of Hussein Al-Bugharbee

This figure shows the co-authorship network connecting the top 25 collaborators of Hussein Al-Bugharbee. A scholar is included among the top collaborators of Hussein Al-Bugharbee 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 Hussein Al-Bugharbee. Hussein Al-Bugharbee 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.
Zubaidi, Salah L., Hussein Al-Bugharbee, Ali W. Alattabi, et al.. (2024). Forecasting urban water demand using different hybrid-based metaheuristic algorithms’ inspire for extracting artificial neural network hyperparameters. Scientific Reports. 14(1). 24042–24042. 4 indexed citations
2.
Zubaidi, Salah L., Mustafa Al-Mukhtar, Anmar Dulaimi, et al.. (2023). Assessing the Potential of Hybrid-Based Metaheuristic Algorithms Integrated with ANNs for Accurate Reference Evapotranspiration Forecasting. Sustainability. 15(19). 14320–14320. 4 indexed citations
3.
Zubaidi, Salah L., Pavitra Kumar, Hussein Al-Bugharbee, et al.. (2023). Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia. Applied Water Science. 13(9). 5 indexed citations
4.
Chakherlou, T.N., et al.. (2022). Functionally graded porous plate reinforced by carbon nanotubes subjected to low-velocity impact: an analytical and numerical analysis. Pigment & Resin Technology. 53(2). 226–239. 2 indexed citations
5.
Zubaidi, Salah L., Nabeel Saleem Saad Al-Bdairi, Sandra Ortega‐Martorell, et al.. (2022). Assessing the Benefits of Nature-Inspired Algorithms for the Parameterization of ANN in the Prediction of Water Demand. Journal of Water Resources Planning and Management. 149(1). 13 indexed citations
6.
Al-Bdairi, Nabeel Saleem Saad, et al.. (2021). Forecasting of Air Maximum Temperature on Monthly Basis Using Singular Spectrum Analysis and Linear Autoregressive Model. IOP Conference Series Earth and Environmental Science. 877(1). 12033–12033.
7.
8.
Zubaidi, Salah L., et al.. (2021). Prediction and Forecasting of Maximum Weather Temperature Using a Linear Autoregressive Model. IOP Conference Series Earth and Environmental Science. 877(1). 12031–12031. 2 indexed citations
9.
Abid, Sallal R., et al.. (2021). Statistical evaluation of vertical and lateral temperature gradients in concrete box-girders. Journal of Physics Conference Series. 1895(1). 12068–12068. 3 indexed citations
10.
Zubaidi, Salah L., Khalid Hashim, Hussein Al-Bugharbee, et al.. (2020). Hybridised Artificial Neural Network Model with Slime Mould Algorithm: A Novel Methodology for Prediction of Urban Stochastic Water Demand. Water. 12(10). 2692–2692. 129 indexed citations
11.
Zubaidi, Salah L., Sandra Ortega‐Martorell, Hussein Al-Bugharbee, et al.. (2020). Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study. Water. 12(7). 1885–1885. 144 indexed citations
12.
Al-Bugharbee, Hussein, et al.. (2019). TRANSIENT RESPONSE OF ROTOR SYSTEM UNDER DIFFERENT STARTUP SPEED PROFILES. 42(5). 163–167. 2 indexed citations
13.
Al-Bugharbee, Hussein, et al.. (2019). Optimization of Process Parameters of Friction Stir Welding by Taguchi Method. SHILAP Revista de lepidopterología. 7(1). 17–23. 2 indexed citations
14.
Zubaidi, Salah L., Patryk Kot, Rafid Alkhaddar, Mawada Abdellatif, & Hussein Al-Bugharbee. (2018). Short-Term Water Demand Prediction in Residential Complexes: Case Study in Columbia City, USA. 31–35. 20 indexed citations
15.
16.
Al-Bugharbee, Hussein, et al.. (2017). Vibration-based damage detection of structural joints in presence of uncertainty. Springer Link (Chiba Institute of Technology). 1 indexed citations
17.
Al-Bugharbee, Hussein, et al.. (2016). A cointegration-based monitoring method for rolling bearings working in time-varying operational conditions. Meccanica. 52(4-5). 1201–1217. 24 indexed citations
18.
Al-Bugharbee, Hussein & Irina Trendafilova. (2016). A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and autoregressive modelling. Journal of Sound and Vibration. 369. 246–265. 81 indexed citations
19.
Al-Bugharbee, Hussein & Irina Trendafilova. (2015). Autoregressive modelling for rolling element bearing fault diagnosis. Journal of Physics Conference Series. 628. 12088–12088. 7 indexed citations
20.
Cava, David García, Irina Trendafilova, & Hussein Al-Bugharbee. (2014). Vibration-based health monitoring approach for composite structures using multivatiate statistical analysis. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 3 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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