George Sideratos

1.3k total citations · 1 hit paper
15 papers, 1.0k citations indexed

About

George Sideratos is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Energy Engineering and Power Technology. According to data from OpenAlex, George Sideratos has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 3 papers in Energy Engineering and Power Technology. Recurrent topics in George Sideratos's work include Energy Load and Power Forecasting (14 papers), Electric Power System Optimization (6 papers) and Solar Radiation and Photovoltaics (4 papers). George Sideratos is often cited by papers focused on Energy Load and Power Forecasting (14 papers), Electric Power System Optimization (6 papers) and Solar Radiation and Photovoltaics (4 papers). George Sideratos collaborates with scholars based in Greece, United States and United Kingdom. George Sideratos's co-authors include Nikos Hatziargyriou, A. Ikonomopoulos, Lefteri H. Tsoukalas, Xiaoqian Wang, Yonghui Sun, Evangelos Rikos, Sen Wang, Hassan Haes Alhelou, Yan Zhou and Pierluigi Siano and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy and International Journal of Electrical Power & Energy Systems.

In The Last Decade

George Sideratos

14 papers receiving 960 citations

Hit Papers

An Advanced Statistical M... 2007 2026 2013 2019 2007 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Sideratos Greece 10 936 364 187 134 110 15 1.0k
D. M. Vinod Kumar India 16 921 1.0× 236 0.6× 126 0.7× 265 2.0× 54 0.5× 54 1.1k
Cameron Potter Australia 10 694 0.7× 200 0.5× 159 0.9× 138 1.0× 59 0.5× 17 760
S. Suresh Kumar India 10 760 0.8× 224 0.6× 400 2.1× 281 2.1× 79 0.7× 27 1.0k
J. Liao United States 11 763 0.8× 142 0.4× 102 0.5× 180 1.3× 84 0.8× 14 814
G. Edwin Prem Kumar India 10 762 0.8× 199 0.5× 401 2.1× 248 1.9× 76 0.7× 24 1.1k
M. Lydia India 10 812 0.9× 215 0.6× 424 2.3× 268 2.0× 82 0.7× 26 1.1k
Mao Yang China 15 609 0.7× 264 0.7× 107 0.6× 94 0.7× 133 1.2× 60 784
Jyotirmayee Naik India 9 562 0.6× 230 0.6× 99 0.5× 169 1.3× 91 0.8× 14 696
Hai‐Kun Wang China 8 376 0.4× 222 0.6× 83 0.4× 90 0.7× 32 0.3× 32 637
K. Methaprayoon United States 10 560 0.6× 105 0.3× 60 0.3× 128 1.0× 54 0.5× 15 602

Countries citing papers authored by George Sideratos

Since Specialization
Citations

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

Fields of papers citing papers by George Sideratos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Sideratos

This figure shows the co-authorship network connecting the top 25 collaborators of George Sideratos. A scholar is included among the top collaborators of George Sideratos 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 George Sideratos. George Sideratos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
2.
Sun, Yonghui, Yan Zhou, Sen Wang, et al.. (2023). Nonparametric Probabilistic Prediction of Regional PV Outputs Based on Granule-based Clustering and Direct Optimization Programming. Journal of Modern Power Systems and Clean Energy. 11(4). 1450–1461. 9 indexed citations
3.
Yang, Guangya, et al.. (2023). Deployment of forecasting tools in diverse demonstration areas to improve energy scheduling of microgrids. IET conference proceedings.. 2023(6). 2170–2174. 1 indexed citations
4.
Sideratos, George & Nikos Hatziargyriou. (2020). A distributed memory RBF-based model for variable generation forecasting. International Journal of Electrical Power & Energy Systems. 120. 106041–106041. 22 indexed citations
5.
Sideratos, George, A. Ikonomopoulos, & Nikos Hatziargyriou. (2019). A novel fuzzy-based ensemble model for load forecasting using hybrid deep neural networks. Electric Power Systems Research. 178. 106025–106025. 121 indexed citations
6.
Sideratos, George, et al.. (2015). A Committee of Machine Learning Techniques for Load Forecasting in a Smart Grid Environment. 4(0). 98–98. 4 indexed citations
7.
Sideratos, George & Nikos Hatziargyriou. (2012). Probabilistic Wind Power Forecasting Using Radial Basis Function Neural Networks. IEEE Transactions on Power Systems. 27(4). 1788–1796. 192 indexed citations
8.
Sideratos, George, et al.. (2012). Wind Power Forecasting in the Absence of Historical Data. IEEE Transactions on Sustainable Energy. 3(3). 416–421. 28 indexed citations
9.
Sideratos, George & Nikos Hatziargyriou. (2012). Wind Power Forecasting Focused on Extreme Power System Events. IEEE Transactions on Sustainable Energy. 3(3). 445–454. 23 indexed citations
10.
Sideratos, George, et al.. (2011). A load forecasting hybrid method for an isolated power system. DSpace - NTUA (National Technical University of Athens). 1–5. 2 indexed citations
12.
Sideratos, George & Nikos Hatziargyriou. (2007). Using Radial Basis Neural Networks to Estimate Wind Power Production. IEEE Power Engineering Society General Meeting. 1–7. 64 indexed citations
13.
Hatziargyriou, Nikos & George Sideratos. (2007). Using Radial Basis Neural Networks to Estimate Wind Power Production. IEEE Power Engineering Society General Meeting. 1–2. 11 indexed citations
14.
Sideratos, George & Nikos Hatziargyriou. (2007). An Advanced Statistical Method for Wind Power Forecasting. IEEE Transactions on Power Systems. 22(1). 258–265. 484 indexed citations breakdown →
15.
Wang, Xiaoqian, George Sideratos, Nikos Hatziargyriou, & Lefteri H. Tsoukalas. (2004). Wind speed forecasting for power system operational planning. DSpace - NTUA (National Technical University of Athens). 470–474. 64 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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