Laurent Saboret

445 total citations
9 papers, 267 citations indexed

About

Laurent Saboret is a scholar working on Artificial Intelligence, Global and Planetary Change and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Laurent Saboret has authored 9 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Global and Planetary Change and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Laurent Saboret's work include Solar Radiation and Photovoltaics (7 papers), Atmospheric aerosols and clouds (3 papers) and Solar Thermal and Photovoltaic Systems (3 papers). Laurent Saboret is often cited by papers focused on Solar Radiation and Photovoltaics (7 papers), Atmospheric aerosols and clouds (3 papers) and Solar Thermal and Photovoltaic Systems (3 papers). Laurent Saboret collaborates with scholars based in France, Germany and Qatar. Laurent Saboret's co-authors include Lucien Wald, Philippe Blanc, Mireille Lefèvre, Benoît Gschwind, Bella Espinar, Marion Schroedter‐Homscheidt, Gerhard Gesell, Zhipeng Qu, Lars Klüser and Armel Oumbe and has published in prestigious journals such as PLoS ONE, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Meteorologische Zeitschrift.

In The Last Decade

Laurent Saboret

9 papers receiving 257 citations

Peers

Laurent Saboret

AI

GPC

RESE

AS

EEE

Lionel Ménard France

R. Kuhlemann Germany

Mădălina Baciu Romania

Samuel Quesada-Ruiz Spain

Georgia Codato Brazil

Theresa Mieslinger Germany

Sylvain Cros France

Matthew A. Rogers United States

Michael Leuthold United States

Lamissa Diabaté France

Lionel Ménard France

Laurent Saboret

216 ×0.9

AI

122 ×0.9

GPC

125 ×1.1

RESE

64 ×1.3

AS

38 ×1.0

EEE

Citations per year, relative to Laurent Saboret Laurent Saboret (= 1×) peers Lionel Ménard

Countries citing papers authored by Laurent Saboret

Since Specialization

Citations

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

Fields of papers citing papers by Laurent Saboret

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Saboret

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

All Works

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9 of 9 papers shown

1.

Sanfilippo, Antonio, et al.. (2022). Does climate help modeling COVID-19 risk and to what extent?. PLoS ONE. 17(9). e0273078–e0273078. 4 indexed citations

2.

Schroedter‐Homscheidt, Marion, et al.. (2022). Surface solar irradiation retrieval from MSG/SEVIRI based on APOLLO Next Generation and HELIOSAT‑4 methods. Meteorologische Zeitschrift. 31(6). 455–476. 20 indexed citations

3.

Saint‐Drenan, Yves‐Marie, et al.. (2020). Performance of CAMS Radiation Service and HelioClim-3 databases of solar radiation at surface: evaluating the spatial variation in Germany. Advances in science and research. 17. 143–152. 9 indexed citations

4.

Dorling, Stephen, et al.. (2019). Assessment of five different methods for the estimation of surface photosynthetically active radiation from satellite imagery at three sites – application to the monitoring of indoor soft fruit crops in southern UK. Advances in science and research. 16. 229–240. 5 indexed citations

5.

Lefèvre, Mireille, et al.. (2019). Verifying the spatial consistency of the CAMS Radiation Service and HelioClim-3 satellite-derived databases of solar radiation using a dense network of measuring stations: the case of The Netherlands. Advances in science and research. 16. 103–111. 10 indexed citations

6.

Saboret, Laurent, et al.. (2016). Validation of the new HelioClim-3 version 4 real-time and short-term forecast service using 14 BSRN stations. Advances in science and research. 13. 129–136. 14 indexed citations

7.

Qu, Zhipeng, Armel Oumbe, Philippe Blanc, et al.. (2016). Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat‑4 method. Meteorologische Zeitschrift. 26(1). 33–57. 173 indexed citations

8.

Lefèvre, Mireille, Philippe Blanc, Bella Espinar, et al.. (2014). The HelioClim-1 Database of Daily Solar Radiation at Earth Surface: An Example of the Benefits of GEOSS Data-CORE. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(5). 1745–1753. 31 indexed citations

9.

Alliez, Pierre, Jean‐Daniel Boissonnat, Olivier Devillers, et al.. (2008). Software - CGAL, the Computational Geometry Algorithms Library. 1 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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