Georges Kariniotakis

8.1k total citations
99 papers, 4.7k citations indexed

About

Georges Kariniotakis is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Georges Kariniotakis has authored 99 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Electrical and Electronic Engineering, 22 papers in Control and Systems Engineering and 19 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Georges Kariniotakis's work include Energy Load and Power Forecasting (56 papers), Smart Grid Energy Management (31 papers) and Electric Power System Optimization (28 papers). Georges Kariniotakis is often cited by papers focused on Energy Load and Power Forecasting (56 papers), Smart Grid Energy Management (31 papers) and Electric Power System Optimization (28 papers). Georges Kariniotakis collaborates with scholars based in France, Denmark and Greece. Georges Kariniotakis's co-authors include Pierre Pinson, Robin Girard, G.S. Stavrakakis, Andrea Michiorri, Christophe Chevallier, Henrik Madsen, Henrik Aa. Nielsen, Eric Nogaret, Carlos Adrián Correa-Flórez and Gregor Giebel and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and Energy.

In The Last Decade

Georges Kariniotakis

92 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georges Kariniotakis France 37 4.1k 1.0k 1.0k 674 483 99 4.7k
Ricardo J. Bessa Portugal 40 4.7k 1.2× 890 0.9× 957 0.9× 314 0.5× 559 1.2× 153 5.3k
Jie Yan China 29 2.8k 0.7× 862 0.8× 601 0.6× 535 0.8× 294 0.6× 119 3.4k
Paras Mandal United States 32 3.6k 0.9× 1.1k 1.0× 945 0.9× 328 0.5× 542 1.1× 145 4.1k
Yuan‐Kang Wu Taiwan 30 3.0k 0.7× 621 0.6× 1.3k 1.3× 642 1.0× 368 0.8× 210 3.6k
Chuanwen Jiang China 32 4.0k 1.0× 523 0.5× 1.8k 1.7× 391 0.6× 198 0.4× 139 4.6k
Farshid Keynia Iran 35 3.2k 0.8× 1.2k 1.1× 737 0.7× 261 0.4× 258 0.5× 91 4.5k
Yagang Zhang China 28 1.9k 0.5× 668 0.6× 606 0.6× 358 0.5× 154 0.3× 141 2.9k
Vladimiro Miranda Portugal 45 5.1k 1.3× 914 0.9× 1.4k 1.4× 231 0.3× 297 0.6× 202 6.2k
Jianchun Peng China 24 2.5k 0.6× 985 1.0× 831 0.8× 164 0.2× 455 0.9× 81 3.1k
Ming Zhou China 31 3.1k 0.8× 215 0.2× 1.3k 1.3× 159 0.2× 245 0.5× 313 4.1k

Countries citing papers authored by Georges Kariniotakis

Since Specialization
Citations

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

Fields of papers citing papers by Georges Kariniotakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georges Kariniotakis

This figure shows the co-authorship network connecting the top 25 collaborators of Georges Kariniotakis. A scholar is included among the top collaborators of Georges Kariniotakis 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 Georges Kariniotakis. Georges Kariniotakis 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.
Bontron, Guillaume, et al.. (2024). Distributed economic model predictive control for the joint energy dispatch of wind farms and run-of-the-river hydropower plants. Electric Power Systems Research. 235. 110805–110805. 3 indexed citations
2.
3.
Liberati, Francesco, et al.. (2024). Stochastic economic model predictive control for renewable energy and ancillary services trading with storage. Sustainable Energy Grids and Networks. 38. 101373–101373. 3 indexed citations
4.
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Pineda, Salvador, et al.. (2023). Interpretable Machine Learning for DC Optimal Power Flow With Feasibility Guarantees. IEEE Transactions on Power Systems. 39(3). 5126–5137. 6 indexed citations
6.
Kariniotakis, Georges, et al.. (2023). Resilient Feature-driven Trading of Renewable Energy with Missing Data. 1–5. 1 indexed citations
7.
Lee, Wei‐Jen, Goran Štrbac, Zechun Hu, et al.. (2020). Special Issue on Advanced Approaches and Applications for Electric Vehicle Charging Demand Management. IEEE Transactions on Industry Applications. 56(5). 5682–5683. 1 indexed citations
8.
Girard, Robin, et al.. (2019). Multi-temporal assessment of power system flexibility requirement. Applied Energy. 238. 1327–1336. 65 indexed citations
9.
Girard, Robin, et al.. (2019). Simulation of day-ahead electricity market prices using a statistically calibrated structural model. HAL (Le Centre pour la Communication Scientifique Directe).
10.
Heleno, Miguel, et al.. (2018). A stochastic optimal power flow for scheduling flexible resources in microgrids operation. Applied Energy. 229. 201–208. 59 indexed citations
11.
Correa-Flórez, Carlos Adrián, et al.. (2018). Stochastic operation of home energy management systems including battery cycling. Applied Energy. 225. 1205–1218. 69 indexed citations
12.
Bessa, Ricardo J., Corinna Möhrlen, Malte Siefert, et al.. (2017). Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry. Energies. 10(9). 1402–1402. 80 indexed citations
13.
Girard, Robin, et al.. (2017). Probabilistic day-ahead forecasting of household electricity demand. CIRED - Open Access Proceedings Journal. 2017(1). 2500–2504. 28 indexed citations
14.
Girard, Robin, et al.. (2017). Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm. Applied Energy. 219. 385–393. 86 indexed citations
15.
Girard, Robin, et al.. (2017). A generic GIS-based method for small Pumped Hydro Energy Storage (PHES) potential evaluation at large scale. Applied Energy. 197. 241–253. 63 indexed citations
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17.
Louka, P., George Galanis, Nils Siebert, et al.. (2005). Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering.. HAL (Le Centre pour la Communication Scientifique Directe).
18.
Kariniotakis, Georges, et al.. (2005). Dynamic modeling of microgrids. HAL (Le Centre pour la Communication Scientifique Directe). 7 pp.–7. 43 indexed citations
19.
Kariniotakis, Georges, et al.. (2003). ANEMOS: Development of a next generation wind power forecasting system for the large-scale integration of onshore and offshore wind farms.. EGS - AGU - EUG Joint Assembly. 13588. 1 indexed citations
20.
Giebel, Gregor, Lars Landberg, Georges Kariniotakis, & Richard A. Brownsword. (2003). State-of-the-art Methods and software tools for short-term prediction of wind energy production. HAL (Le Centre pour la Communication Scientifique Directe). 10 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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