Jean-Laurent Duchaud
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Control and Systems Engineering top 10%
- Energy Engineering and Power Technology top 5%
- Co-authors
- Gilles NottonCyril VoyantAlexis FouilloyMarie Laure NivetFabrice MotteChristophe DarrasChristophe PaoliEmmanuel Guillot
- Topics
- Solar Radiation and Photovoltaics (12 papers)Energy Load and Power Forecasting (10 papers)Smart Grid Energy Management (7 papers)
- Cited by
- Energy Engineering and Power TechnologyRenewable Energy, Sustainability and the EnvironmentArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaApplied EnergyEnergy
In The Last Decade
Jean-Laurent Duchaud
23 papers receiving 504 citations
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 359
- Artificial Intelligence 254
- Renewable Energy, Sustainability and the Environment 173
- Control and Systems Engineering 103
- Energy Engineering and Power Technology 78
Countries citing papers authored by Jean-Laurent Duchaud
This map shows the geographic impact of Jean-Laurent Duchaud'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 Jean-Laurent Duchaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Laurent Duchaud more than expected).
Fields of papers citing papers by Jean-Laurent Duchaud
This network shows the impact of papers produced by Jean-Laurent Duchaud. 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 Jean-Laurent Duchaud. The network helps show where Jean-Laurent Duchaud may publish in the future.
Co-authorship network of co-authors of Jean-Laurent Duchaud
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Laurent Duchaud. A scholar is included among the top collaborators of Jean-Laurent Duchaud 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 Jean-Laurent Duchaud. Jean-Laurent Duchaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 31 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | 21 | |
| 17 | 84 | |
| 18 | 17 | |
| 19 | 7 | |
| 20 | 6 |
About Jean-Laurent Duchaud
Jean-Laurent Duchaud is a scholar working on Energy Engineering and Power Technology, General Energy and Artificial Intelligence, having authored 23 papers that have together received 519 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (12 papers), Energy Load and Power Forecasting (10 papers) and Smart Grid Energy Management (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (78 citations), Renewable Energy, Sustainability and the Environment (173 citations) and Artificial Intelligence (254 citations). Jean-Laurent Duchaud has collaborated with scholars based in France, Réunion and Spain. Frequent co-authors include Gilles Notton, Cyril Voyant, Alexis Fouilloy, Marie Laure Nivet, Fabrice Motte, Christophe Darras, Christophe Paoli, Emmanuel Guillot, Zaher Mundher Yaseen and Konstantinos Chalvatzis. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and 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.