Christophe Darras

1.2k total citations · 1 hit paper
12 papers, 888 citations indexed

About

Christophe Darras is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology and Artificial Intelligence. According to data from OpenAlex, Christophe Darras has authored 12 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Energy Engineering and Power Technology and 5 papers in Artificial Intelligence. Recurrent topics in Christophe Darras's work include Hybrid Renewable Energy Systems (7 papers), Solar Radiation and Photovoltaics (5 papers) and Energy Load and Power Forecasting (4 papers). Christophe Darras is often cited by papers focused on Hybrid Renewable Energy Systems (7 papers), Solar Radiation and Photovoltaics (5 papers) and Energy Load and Power Forecasting (4 papers). Christophe Darras collaborates with scholars based in France, Türkiye and Réunion. Christophe Darras's co-authors include Cyril Voyant, Gilles Notton, Christophe Paoli, Marie Laure Nivet, Alexis Fouilloy, Fabrice Motte, Philippe Poggi, Marc Muselli, S. Besse and A. Rakotondrainibé and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Christophe Darras

12 papers receiving 859 citations

Hit Papers

Intermittent and stochastic character of renewable energy... 2018 2026 2020 2023 2018 100 200 300

Peers

Christophe Darras
Christophe Darras
Citations per year, relative to Christophe Darras Christophe Darras (= 1×) peers Parag Nijhawan

Countries citing papers authored by Christophe Darras

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Darras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Darras

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

All Works

12 of 12 papers shown
1.
Duchaud, Jean-Laurent, Gilles Notton, Christophe Darras, & Cyril Voyant. (2018). Power ramp-rate control algorithm with optimal State of Charge reference via Dynamic Programming. Energy. 149. 709–717. 17 indexed citations
2.
Notton, Gilles, Marie Laure Nivet, Cyril Voyant, et al.. (2018). Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting. Renewable and Sustainable Energy Reviews. 87. 96–105. 375 indexed citations breakdown →
3.
Duchaud, Jean-Laurent, Gilles Notton, Christophe Darras, & Cyril Voyant. (2018). Multi-Objective Particle Swarm optimal sizing of a renewable hybrid power plant with storage. Renewable Energy. 131. 1156–1167. 51 indexed citations
4.
Voyant, Cyril, Gilles Notton, Christophe Darras, Alexis Fouilloy, & Fabrice Motte. (2017). Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case. Energy. 125. 248–257. 33 indexed citations
5.
Darras, Christophe, et al.. (2017). Modelling and experimental validation of a 46 kW PEM high pressure water electrolyzer. Renewable Energy. 119. 160–173. 181 indexed citations
6.
Darras, Christophe, et al.. (2015). Techno-economic analysis of PV/H 2 systems. International Journal of Hydrogen Energy. 40(30). 9049–9060. 14 indexed citations
7.
Poggi, Philippe, et al.. (2014). The PV-Hydrogen MYRTE Platform - PV Output Power Fluctuations Smoothing. Energy Procedia. 57. 607–616. 10 indexed citations
8.
Voyant, Cyril, Christophe Darras, Marc Muselli, et al.. (2013). Bayesian rules and stochastic models for high accuracy prediction of solar radiation. Applied Energy. 114. 218–226. 60 indexed citations
9.
Cristofari, Christian, et al.. (2012). Innovative patented PV/TH Solar Collector: optimization and performance evaluation. Energy Procedia. 14. 235–240. 19 indexed citations
10.
Darras, Christophe, et al.. (2012). PV output power fluctuations smoothing: The MYRTE platform experience. International Journal of Hydrogen Energy. 37(19). 14015–14025. 49 indexed citations
11.
Darras, Christophe, et al.. (2010). Load and weather profile, and time simulation impacts for the PEPITE PV/H2 project. International Journal of Hydrogen Energy. 35(19). 10138–10147. 4 indexed citations
12.
Darras, Christophe, Sébastien Sailler, Marc Muselli, et al.. (2010). Sizing of photovoltaic system coupled with hydrogen/oxygen storage based on the ORIENTE model. International Journal of Hydrogen Energy. 35(8). 3322–3332. 75 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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