Fabrice Motte

18 papers receiving 2.1k citations

Hit Papers

Machine learning methods for solar radiation forecasting:...2017202620202023201720184008001.2k

Peers

Fabrice Motte
Comparison fields: 5 of 109
  • Artificial Intelligence 1.2k
  • Electrical and Electronic Engineering 1.2k
  • Renewable Energy, Sustainability and the Environment 1.1k
  • Mechanical Engineering 325
  • Building and Construction 202
Replace Alexis Fouilloy with:
Alexis Fouilloy France
F. Antoñanzas-Torres Spain
Christophe Paoli France
Marie Laure Nivet France
Mathieu David Réunion
Erol Arcaklıoğlu Türkiye
Christian Cristofari France
J. Antonanzas Spain
Amit Kumar Yadav India
Jesús Polo Spain
Fabrice Motte relative to Alexis Fouilloy France Alexis Fouilloy's profile →
Citations per field
00.5×3.5×
Alexis Fouilloy · 1×
Citations per year

Countries citing papers authored by Fabrice Motte

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Motte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Motte

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 29
2 9
3 53
4 129
5
Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecastingbreakdown →
375
6 37
7 33
8
Machine learning methods for solar radiation forecasting: A reviewbreakdown →
1229
9 43
10 20
11 75
12 5
13 46
14 21
15 16
16 27
17 47
18 2

About Fabrice Motte

Fabrice Motte is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Mechanical Engineering, having authored 18 papers that have together received 2.2k indexed citations. Recurring topics across this work include Solar Thermal and Photovoltaic Systems (11 papers), Solar Radiation and Photovoltaics (9 papers) and Solar Energy Systems and Technologies (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.1k citations), Artificial Intelligence (1.2k citations) and Energy Engineering and Power Technology (89 citations). Fabrice Motte has collaborated with scholars based in France, Türkiye and Spain. Frequent co-authors include Gilles Notton, Cyril Voyant, Alexis Fouilloy, Marie Laure Nivet, Christophe Paoli, Soteris A. Kalogirou, Christian Cristofari, Christophe Darras, Quentin Falcoz and Chr. Lamnatou. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Applied Energy.

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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