Sameer Al‐Dahidi

2.6k total citations
100 papers, 1.8k citations indexed

About

Sameer Al‐Dahidi is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Artificial Intelligence. According to data from OpenAlex, Sameer Al‐Dahidi has authored 100 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 35 papers in Renewable Energy, Sustainability and the Environment and 34 papers in Artificial Intelligence. Recurrent topics in Sameer Al‐Dahidi's work include Solar Radiation and Photovoltaics (26 papers), Photovoltaic System Optimization Techniques (24 papers) and Energy Load and Power Forecasting (18 papers). Sameer Al‐Dahidi is often cited by papers focused on Solar Radiation and Photovoltaics (26 papers), Photovoltaic System Optimization Techniques (24 papers) and Energy Load and Power Forecasting (18 papers). Sameer Al‐Dahidi collaborates with scholars based in Jordan, United States and Italy. Sameer Al‐Dahidi's co-authors include Mohammad Alrbai, Osama Ayadi, Loiy Al‐Ghussain, Enrico Zio, Piero Baraldi, Ali Alahmer, Hassan Hayajneh, Bashar R. Qawasmeh, Mohamed Louzazni and Francesco Di Maio and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Sameer Al‐Dahidi

96 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sameer Al‐Dahidi Jordan 26 655 617 561 359 207 100 1.8k
Ali Khosravi Finland 26 701 1.1× 788 1.3× 447 0.8× 805 2.2× 125 0.6× 73 2.4k
M.A. Farahat Egypt 21 604 0.9× 857 1.4× 220 0.4× 126 0.4× 319 1.5× 65 1.5k
Firas Basim Ismail Malaysia 16 393 0.6× 653 1.1× 140 0.2× 321 0.9× 270 1.3× 86 1.5k
Ahmed Bilal Awan Saudi Arabia 25 624 1.0× 1.1k 1.9× 345 0.6× 217 0.6× 598 2.9× 76 2.1k
José M. Cardemil Chile 30 1.3k 2.0× 390 0.6× 417 0.7× 1.1k 3.0× 132 0.6× 120 2.3k
Renu Sharma India 21 873 1.3× 1.3k 2.0× 369 0.7× 195 0.5× 248 1.2× 137 1.9k
Pradip Kumar Sadhu India 22 714 1.1× 1.4k 2.3× 385 0.7× 220 0.6× 639 3.1× 229 2.3k
Amit Kumar Yadav India 17 861 1.3× 995 1.6× 1.1k 1.9× 118 0.3× 171 0.8× 42 2.0k
Mohammad Al‐Shabi United Arab Emirates 19 201 0.3× 369 0.6× 425 0.8× 419 1.2× 568 2.7× 176 1.7k
Luiz Machado Brazil 28 730 1.1× 727 1.2× 378 0.7× 1.4k 3.9× 145 0.7× 93 2.6k

Countries citing papers authored by Sameer Al‐Dahidi

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Al‐Dahidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameer Al‐Dahidi. 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 Sameer Al‐Dahidi. The network helps show where Sameer Al‐Dahidi may publish in the future.

Co-authorship network of co-authors of Sameer Al‐Dahidi

This figure shows the co-authorship network connecting the top 25 collaborators of Sameer Al‐Dahidi. A scholar is included among the top collaborators of Sameer Al‐Dahidi 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 Sameer Al‐Dahidi. Sameer Al‐Dahidi 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.
Alrbai, Mohammad, Loiy Al‐Ghussain, Sameer Al‐Dahidi, Osama Ayadi, & Sahban W. Alnaser. (2025). Techno-economic assessment of residential PV system tariff policies in Jordan. Utilities Policy. 93. 101894–101894. 3 indexed citations
2.
Alrbai, Mohammad, et al.. (2025). Global mapping of solid waste to energy conversion: The potential of biogas and hydrogen production from landfills worldwide. Journal of Environmental Management. 396. 128139–128139.
3.
Gado, Mohamed G., Loiy Al‐Ghussain, Mohammad Alrbai, & Sameer Al‐Dahidi. (2025). Sustainable e-fuels production, liquefaction and transport technoeconomic feasibility using renewable energy resources. Energy Conversion and Management. 345. 120373–120373. 1 indexed citations
4.
Al‐Ghussain, Loiy, et al.. (2025). Enabling e-fuels in Middle East and North Africa: Life cycle and techno-economic insights into CO2 capture and utilization. Carbon Capture Science & Technology. 17. 100538–100538.
5.
Alrbai, Mohammad, Sameer Al‐Dahidi, Hussein Alahmer, et al.. (2024). Utilizing waste heat in wastewater treatment plants for water desalination: Modeling and Multi-Objective optimization of a Multi-Effect desalination system using Decision Tree Regression and Pelican optimization algorithm. Thermal Science and Engineering Progress. 54. 102784–102784. 20 indexed citations
7.
Al‐Dahidi, Sameer, Mohammad Alrbai, Loiy Al‐Ghussain, & Ali Alahmer. (2024). Maximizing energy efficiency in wastewater treatment plants: A data-driven approach for waste heat recovery and an economic analysis using Organic Rankine Cycle and thermal energy storage. Applied Energy. 362. 123008–123008. 28 indexed citations
8.
9.
Al‐Dahidi, Sameer, Manoharan Madhiarasan, Loiy Al‐Ghussain, et al.. (2024). Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework. Energies. 17(16). 4145–4145. 35 indexed citations
10.
Al‐Dahidi, Sameer, et al.. (2024). Feature Selection by Binary Differential Evolution for Predicting the Energy Production of a Wind Plant. Energies. 17(10). 2424–2424. 1 indexed citations
11.
Al‐Dahidi, Sameer, Mohammad Alrbai, Loiy Al‐Ghussain, Ali Alahmer, & Hassan Hayajneh. (2023). Data-driven analysis and prediction of wastewater treatment plant performance: Insights and forecasting for sustainable operations. Bioresource Technology. 391. 129937–129937. 17 indexed citations
12.
Alrbai, Mohammad, Hussein Alahmer, Ali Alahmer, et al.. (2023). Retrofitting conventional chilled-water system to a solar-assisted absorption cooling system: Modeling, polynomial regression, and grasshopper optimization. Journal of Energy Storage. 65. 107276–107276. 33 indexed citations
13.
Al‐Ghussain, Loiy, et al.. (2023). Techno-economic and environmental assessment of solar-based electrical vehicles charging stations integrated with hydrogen production. Journal of Cleaner Production. 434. 140219–140219. 37 indexed citations
14.
Mellal, Mohamed Arezki, Enrico Zio, Sameer Al‐Dahidi, Naoki Masuyama, & Yusuke Nojima. (2022). System design optimization with mixed subsystems failure dependencies. Reliability Engineering & System Safety. 231. 109005–109005. 13 indexed citations
15.
Al‐Dahidi, Sameer, et al.. (2021). Bootstrapped Ensemble of Artificial Neural Networks Technique for Quantifying Uncertainty in Prediction of Wind Energy Production. Sustainability. 13(11). 6417–6417. 10 indexed citations
16.
Mellal, Mohamed Arezki, Sameer Al‐Dahidi, & Edward J. Williams. (2020). System reliability optimization with heterogeneous components using hosted cuckoo optimization algorithm. Reliability Engineering & System Safety. 203. 107110–107110. 30 indexed citations
18.
Hijazi, Ala, Sameer Al‐Dahidi, & Safwan Altarazi. (2020). Residual Strength Prediction of Aluminum Panels with Multiple Site Damage Using Artificial Neural Networks. Materials. 13(22). 5216–5216. 6 indexed citations
19.
Yang, Zhe, et al.. (2019). A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments. IEEE Transactions on Neural Networks and Learning Systems. 31(1). 309–320. 65 indexed citations
20.
Al‐Dahidi, Sameer, Piero Baraldi, Francesco Di Maio, & Enrico Zio. (2014). Quantification of Signal Reconstruction Uncertainty in Fault Detection Systems. PHM Society European Conference. 2(1). 8 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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