Station d’Écologie Théorique et Expérimentale
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
- Fish Ecology and Management Studies
Papers in
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- Species Distribution and Climate Change 161
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- Ecology and Vegetation Dynamics Studies 203
- Fish Ecology and Management Studies 86
- Top scholars
- Michel LoreauJean ClobertSimon BlanchetClaire de MazancourtAndrew GonzalezJulien CôtéShaopeng WangJosé M. Montoya
- Journals
- Proceedings of the Royal Society B Biological Sciences (39 papers)Ecology Letters (36 papers)Oikos (27 papers)PLoS ONE (23 papers)Molecular Ecology (20 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Station d’Écologie Théorique et Expérimentale
1.0k papers receiving 46.0k citations
Peers
Comparison fields: 5 of 216
- Ecological Modeling 6.7k
- Nature and Landscape Conservation 14.2k
- Ecology 17.9k
- Ecology, Evolution, Behavior and Systematics 13.1k
- Global and Planetary Change 12.6k
Countries citing scholars working at Station d’Écologie Théorique et Expérimentale
This map shows the geographic impact of research produced by authors working at Station d’Écologie Théorique et Expérimentale. 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 papers produced at Station d’Écologie Théorique et Expérimentale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Station d’Écologie Théorique et Expérimentale more than expected).
Fields of papers published by authors at Station d’Écologie Théorique et Expérimentale
This network shows the impact of papers affiliated with Station d’Écologie Théorique et Expérimentale at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Station d’Écologie Théorique et Expérimentale at the time of their publication.
About Station d’Écologie Théorique et Expérimentale
In recent decades, authors affiliated with Station d’Écologie Théorique et Expérimentale have published 1.1k papers, which have received a total of 47.6k indexed citations . Scholars at this organization have produced 161 papers in Ecological Modeling, 316 papers in Nature and Landscape Conservation, 402 papers in Ecology, Evolution, Behavior and Systematics, 395 papers in Ecology and 319 papers in Global and Planetary Change on the topics of Plant and animal studies (250 papers), Ecology and Vegetation Dynamics Studies (203 papers), Animal Behavior and Reproduction (202 papers), Species Distribution and Climate Change (161 papers), Amphibian and Reptile Biology (140 papers), Genetic diversity and population structure (102 papers), Wildlife Ecology and Conservation (91 papers) and Fish Ecology and Management Studies (86 papers). Their work is cited by papers focused on Ecological Modeling (6.7k citations), Nature and Landscape Conservation (14.2k citations), Ecology (17.9k citations), Ecology, Evolution, Behavior and Systematics (13.1k citations) and Global and Planetary Change (12.6k citations). Authors at Station d’Écologie Théorique et Expérimentale collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including Proceedings of the Royal Society B Biological Sciences, Ecology Letters, Oikos, PLoS ONE and Molecular Ecology. Some of Station d’Écologie Théorique et Expérimentale's most productive authors include Michel Loreau, Jean Clobert, Simon Blanchet, Claire de Mazancourt, Andrew Gonzalez, Julien Côté, Shaopeng Wang, José M. Montoya, Bradley J. Cardinale and David A. Wardle.
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.