Benoît Gschwind

15 papers receiving 877 citations

Peers

Benoît Gschwind
Comparison fields: 5 of 71
  • Renewable Energy, Sustainability and the Environment 411
  • Artificial Intelligence 696
  • Global and Planetary Change 367
  • Atmospheric Science 161
  • Environmental Engineering 119
Replace Bella Espinar with:
Bella Espinar France
Barbara Ridley Australia
Karl Hemker United States
Vicente Lara-Fanego Spain
Armel Oumbe France
A. Zelenka Switzerland
Óscar Perpiñán Spain
Richard Mueller Germany
Annette Hammer Germany
James Schlemmer United States
Benoît Gschwind relative to Bella Espinar France Bella Espinar's profile →
Citations per field
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Bella Espinar · 1×
Citations per year

Countries citing papers authored by Benoît Gschwind

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Gschwind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Gschwind, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoît Gschwind Line = papers co-authored together Benoît Gschwind links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2013289
2 2016173
3 2011132
4 201977
5 200664
6 201743
7 201440
8 201431
9 201421
10 201620
11 20128
12 20116
13 20235
14 20224
15 20183

About Benoît Gschwind

Benoît Gschwind is a scholar working on Artificial Intelligence, Global and Planetary Change, Atmospheric Science, Renewable Energy, Sustainability and the Environment and Environmental Engineering, having authored 15 papers that have together received 916 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (10 papers), Atmospheric aerosols and clouds (6 papers), Photovoltaic System Optimization Techniques (4 papers), Atmospheric Ozone and Climate (3 papers), Energy and Environment Impacts (2 papers), Meteorological Phenomena and Simulations (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Solar Thermal and Photovoltaic Systems (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (411 citations), Artificial Intelligence (696 citations), Global and Planetary Change (367 citations), Atmospheric Science (161 citations) and Environmental Engineering (119 citations). Benoît Gschwind has collaborated with scholars based in France, Germany and Finland. Frequent co-authors include Lucien Wald, Mireille Lefèvre, Philippe Blanc, Marion Schroedter‐Homscheidt, Zhipeng Qu, Bella Espinar, Armel Oumbe, Antti Arola, Lionel Ménard and Angela Benedetti. Their work appears in journals such as Atmospheric measurement techniques, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Meteorologische Zeitschrift, Remote Sensing and Environmental Modelling & Software.

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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