Marc Muselli

5.3k citations
96 papers · 4.0k · h-index 36

Impact in

Papers in

Marc Muselli

89 papers receiving 3.8k citations

Peers

Marc Muselli
Comparison fields: 5 of 112
  • Energy Engineering and Power Technology 566
  • Renewable Energy, Sustainability and the Environment 1.5k
  • Environmental Engineering 744
  • Artificial Intelligence 1.4k
  • Pollution 455
Replace Thomas Huld with:
Thomas Huld Italy
Kasra Mohammadi United States
Rodrigo Escobar Chile
Muyiwa S. Adaramola Norway
M.C. Brito Portugal
Manajit Sengupta United States
Davide Astiaso Garcia Italy
Jan Kleissl United States
Joshua S. Stein United States
Eamon McKeogh Ireland
Marc Muselli relative to Thomas Huld Italy Thomas Huld's profile →
Citations per field
00.5×1.5×
Thomas Huld · 1×
Citations per year

Countries citing papers authored by Marc Muselli

Since Specialization
Citations

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

Fields of papers citing papers by Marc Muselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Muselli, 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 Marc Muselli Line = papers co-authored together Marc Muselli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005466
2 2010286
3 2012214
4 1999196
5 2010157
6 2002138
7 2003137
8 2003131
9 2004105
10 2010101
11 201289
12 201881
13 200981
14 200677
15 201075
16 201272
17 200670
18 200069
19 201361
20 200060

About Marc Muselli

Marc Muselli is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Environmental Engineering and Energy Engineering and Power Technology, having authored 96 papers that have together received 4.0k indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (40 papers), Solar Thermal and Photovoltaic Systems (25 papers), Photovoltaic System Optimization Techniques (24 papers), Energy Load and Power Forecasting (17 papers), Hybrid Renewable Energy Systems (13 papers), Wind and Air Flow Studies (9 papers), Building Energy and Comfort Optimization (8 papers) and Urban Heat Island Mitigation (8 papers). The work is most often cited by research in Energy Engineering and Power Technology (566 citations), Renewable Energy, Sustainability and the Environment (1.5k citations), Environmental Engineering (744 citations), Artificial Intelligence (1.4k citations) and Pollution (455 citations). Marc Muselli has collaborated with scholars based in France, Türkiye and Morocco. Frequent co-authors include Gilles Notton, Cyril Voyant, Christophe Paoli, Marie Laure Nivet, Philippe Poggi, A. Louche, D. Beysens, Christian Cristofari, I. Milimouk and Marie‐Geneviève Mattéi. Their work appears in journals such as Renewable Energy, Solar Energy, Energy, Energy Conversion and Management and International Journal of Hydrogen 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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