Tarek AlSkaif

3.6k total citations
77 papers, 2.6k citations indexed

About

Tarek AlSkaif is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Automotive Engineering. According to data from OpenAlex, Tarek AlSkaif has authored 77 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 21 papers in Renewable Energy, Sustainability and the Environment and 19 papers in Automotive Engineering. Recurrent topics in Tarek AlSkaif's work include Smart Grid Energy Management (36 papers), Electric Vehicles and Infrastructure (27 papers) and Energy Load and Power Forecasting (17 papers). Tarek AlSkaif is often cited by papers focused on Smart Grid Energy Management (36 papers), Electric Vehicles and Infrastructure (27 papers) and Energy Load and Power Forecasting (17 papers). Tarek AlSkaif collaborates with scholars based in Netherlands, Spain and Ireland. Tarek AlSkaif's co-authors include Wilfried van Sark, Ioannis Lampropoulos, Tom Terlouw, Christian Bauer, Lennard Visser, Madeleine Gibescu, Manel Guerrero Zapata, Boris Bellalta, Nico Brinkel and Wouter Schram and has published in prestigious journals such as Nature Communications, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Tarek AlSkaif

75 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tarek AlSkaif Netherlands 27 2.1k 788 532 451 361 77 2.6k
Abdollah Kavousi‐Fard Iran 32 2.4k 1.1× 1.4k 1.8× 695 1.3× 175 0.4× 273 0.8× 52 3.1k
Gianluca Fulli Italy 28 2.3k 1.1× 1.1k 1.4× 516 1.0× 328 0.7× 129 0.4× 89 2.9k
Anzar Mahmood Pakistan 22 2.0k 1.0× 882 1.1× 239 0.4× 423 0.9× 162 0.4× 86 2.6k
Furong Li United Kingdom 36 3.6k 1.7× 1.5k 1.9× 518 1.0× 327 0.7× 156 0.4× 160 3.9k
Xinhui Lu China 16 1.7k 0.8× 508 0.6× 313 0.6× 430 1.0× 452 1.3× 27 2.0k
Wayes Tushar Australia 30 3.5k 1.7× 1.9k 2.4× 579 1.1× 429 1.0× 121 0.3× 89 4.2k
Michela Longo Italy 26 2.1k 1.0× 462 0.6× 1.2k 2.3× 437 1.0× 318 0.9× 261 2.9k
Baseem Khan Ethiopia 27 1.7k 0.8× 1.1k 1.3× 271 0.5× 318 0.7× 216 0.6× 165 2.5k
Pedro Faria Portugal 31 3.7k 1.8× 1.9k 2.4× 513 1.0× 644 1.4× 174 0.5× 264 4.4k
George Cristian Lăzăroiu Romania 19 1.0k 0.5× 444 0.6× 171 0.3× 470 1.0× 255 0.7× 135 1.9k

Countries citing papers authored by Tarek AlSkaif

Since Specialization
Citations

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

Fields of papers citing papers by Tarek AlSkaif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarek AlSkaif

This figure shows the co-authorship network connecting the top 25 collaborators of Tarek AlSkaif. A scholar is included among the top collaborators of Tarek AlSkaif 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 Tarek AlSkaif. Tarek AlSkaif 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.
AlSkaif, Tarek, Önder Babur, Francis Bordeleau, et al.. (2025). Evolution at the Core of Digital Twin Engineering. TU/e Research Portal. 210–216.
2.
Souza, Francisco, et al.. (2024). Hybrid Modeling for Photovoltaic Module Operating Temperature Estimation. IEEE Journal of Photovoltaics. 14(3). 488–496. 4 indexed citations
3.
Niu, Tong, et al.. (2024). ETDS: A Novel Electricity Theft Detection System for Highly Unbalanced Data in Smart Grids. IEEE Transactions on Industrial Informatics. 21(3). 2114–2123. 1 indexed citations
4.
AlSkaif, Tarek, et al.. (2024). Photovoltaic power estimation and forecast models integrating physics and machine learning: A review on hybrid techniques. Solar Energy. 284. 113044–113044. 11 indexed citations
5.
AlSkaif, Tarek, et al.. (2024). Quantifying and modeling price volatility in the Dutch intraday electricity market. Energy Reports. 12. 3830–3842. 1 indexed citations
6.
Visser, Lennard, et al.. (2024). Probabilistic solar power forecasting: An economic and technical evaluation of an optimal market bidding strategy. Applied Energy. 370. 123573–123573. 5 indexed citations
7.
Brinkel, Nico, et al.. (2024). Conformal prediction for stochastic decision-making of PV power in electricity markets. Electric Power Systems Research. 234. 110750–110750. 6 indexed citations
8.
AlSkaif, Tarek, et al.. (2023). Prosumers integration in aggregated demand response systems. Energy Policy. 182. 113745–113745. 15 indexed citations
9.
Brinkel, Nico, Lennard Visser, Wilfried van Sark, & Tarek AlSkaif. (2023). A novel forecasting approach to schedule aggregated electric vehicle charging. Energy and AI. 14. 100297–100297. 11 indexed citations
10.
Picazo, Miguel Ángel Pardo, et al.. (2023). An irrigation scheduling algorithm for sustainable energy consumption in pressurised irrigation networks supplied by photovoltaic modules. Clean Technologies and Environmental Policy. 25(6). 2009–2024. 6 indexed citations
11.
Visser, Lennard, Tarek AlSkaif, Jing Hu, Atse Louwen, & Wilfried van Sark. (2023). On the value of expert knowledge in estimation and forecasting of solar photovoltaic power generation. Solar Energy. 251. 86–105. 30 indexed citations
12.
Terlouw, Tom, Tarek AlSkaif, Christian Bauer, Marco Mazzotti, & Russell McKenna. (2022). Designing residential energy systems considering prospective costs and life cycle GHG emissions. Applied Energy. 331. 120362–120362. 17 indexed citations
13.
Brinkel, Nico, Tarek AlSkaif, & Wilfried van Sark. (2022). Grid congestion mitigation in the era of shared electric vehicles. Journal of Energy Storage. 48. 103806–103806. 22 indexed citations
14.
Jain, Mayank, et al.. (2022). Which internal validation indices to use while clustering electric load demand profiles?. Sustainable Energy Grids and Networks. 32. 100849–100849. 8 indexed citations
15.
Jain, Mayank, Tarek AlSkaif, & Soumyabrata Dev. (2022). Are deep learning models more effective against traditional models for load demand forecasting?. Data Archiving and Networked Services (DANS). 1–6. 5 indexed citations
16.
Neves, Diana, Tarek AlSkaif, Shafi Khadem, et al.. (2021). Impact of local energy markets integration in power systems layer: A comprehensive review. Applied Energy. 301. 117434–117434. 75 indexed citations
17.
AlSkaif, Tarek, et al.. (2021). Anomaly Detection in Electricity Consumption Data using Deep Learning. Socio-Environmental Systems Modeling. 1–6. 11 indexed citations
18.
AlSkaif, Tarek, et al.. (2020). A systematic analysis of meteorological variables for PV output power estimation. Renewable Energy. 153. 12–22. 100 indexed citations
19.
Schram, Wouter, Ioannis Lampropoulos, Tarek AlSkaif, & Wilfried van Sark. (2019). On the Use of Average versus Marginal Emission Factors. Data Archiving and Networked Services (DANS). 187–193. 16 indexed citations
20.
AlSkaif, Tarek, et al.. (2019). Decentralized Optimal Power Flow in Distribution Networks Using Blockchain. Socio-Environmental Systems Modeling. 1–6. 30 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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