Jérôme Chave

4.8k total citations · 2 hit papers
17 papers, 3.1k citations indexed

About

Jérôme Chave is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Jérôme Chave has authored 17 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nature and Landscape Conservation, 8 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Ecology. Recurrent topics in Jérôme Chave's work include Plant and animal studies (8 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers). Jérôme Chave is often cited by papers focused on Plant and animal studies (8 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers). Jérôme Chave collaborates with scholars based in France, United States and Netherlands. Jérôme Chave's co-authors include Helene C. Muller‐Landau, Simon A. Levin, Robin B. Foster, Salomón Aguilar, Egbert Giles Leigh, Renato Valencia, Stephen P. Hubbell, Elizabeth Losos, Gorky Villa and Nigel C. A. Pitman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The American Naturalist.

In The Last Decade

Jérôme Chave

17 papers receiving 3.0k citations

Hit Papers

Beta-Diversity in Tropical Forest Trees 2002 2026 2010 2018 2002 2004 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jérôme Chave France 11 1.9k 1.3k 1.2k 640 633 17 3.1k
Miles R. Silman United States 20 1.7k 0.9× 912 0.7× 1.2k 1.0× 965 1.5× 788 1.2× 24 3.2k
Annette Ostling United States 24 1.4k 0.8× 1.0k 0.8× 1.1k 0.9× 447 0.7× 797 1.3× 46 2.6k
Percy Núñez United States 7 2.1k 1.1× 1.2k 0.9× 1.5k 1.3× 1.0k 1.6× 605 1.0× 9 3.5k
Niels Raes Netherlands 25 1.3k 0.7× 902 0.7× 1.1k 0.9× 647 1.0× 1.6k 2.5× 58 3.0k
Kalle Ruokolainen Finland 36 2.8k 1.5× 2.1k 1.6× 1.6k 1.3× 940 1.5× 1.3k 2.0× 82 4.5k
Gunnar Keppel Australia 28 1.5k 0.8× 1.1k 0.9× 1.2k 1.0× 818 1.3× 1.3k 2.1× 98 3.3k
Christopher F. Steiner United States 20 2.1k 1.1× 1.0k 0.8× 1.8k 1.5× 809 1.3× 602 1.0× 37 3.5k
Rodrigo Wilber Soria-Auza Bolivia 8 1.2k 0.6× 935 0.7× 896 0.7× 748 1.2× 1.3k 2.0× 12 2.9k
Salomón Aguilar United States 15 1.9k 1.0× 1.2k 1.0× 788 0.7× 627 1.0× 594 0.9× 21 2.6k
François Munoz France 30 1.7k 0.9× 1.3k 1.0× 1.0k 0.9× 545 0.9× 836 1.3× 121 3.1k

Countries citing papers authored by Jérôme Chave

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Chave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Chave

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

All Works

17 of 17 papers shown
1.
Schmitt, Sylvain, Fabian Jörg Fischer, James Ball, et al.. (2025). TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluation for two Amazonian sites. Geoscientific model development. 18(16). 5205–5243. 2 indexed citations
2.
Maréchaux, Isabelle, Fabian Jörg Fischer, Sylvain Schmitt, & Jérôme Chave. (2025). TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 1: Model description. Geoscientific model development. 18(16). 5143–5204. 1 indexed citations
3.
Blanchet, Émilie, Emerson Ferreira Queiroz, Mélanie Roy, et al.. (2017). Bioactive potential and role of secondary metabolites within the microorganism community of the sea grass Posidonia oceanica. Planta Medica International Open. 1 indexed citations
4.
Dexter, Kyle G. & Jérôme Chave. (2016). Evolutionary patterns of range size, abundance and species richness in Amazonian angiosperm trees. PeerJ. 4. e2402–e2402. 27 indexed citations
5.
Dubois-Fernandez, Pascale, Thuy Le Toan, Hélène Oriot, et al.. (2012). The TropiSAR Airborne Campaign in French Guiana: Objectives, Description, and Observed Temporal Behavior of the Backscatter Signal. IEEE Transactions on Geoscience and Remote Sensing. 50(8). 3228–3241. 96 indexed citations
6.
Chave, Jérôme, et al.. (2012). REPRODUCTIBILITY OF FLOWER SCENT EMISSIONS IN TWO WILD SUBSPECIES OF SNAPDRAGON, Antirrhinum majus. Environmental Engineering and Management Journal. 11(6). 1201–1211. 1 indexed citations
7.
Dubois-Fernandez, Pascale, Hélène Oriot, Hubert Cantalloube, et al.. (2010). TropiSAR, a SAR data acquisition campaign in French Guiana. Agritrop (Cirad). 1–4. 9 indexed citations
8.
Dormont, Laurent, Bertrand Schatz, Martín Giurfa, et al.. (2010). Floral scent variation in two Antirrhinum majus subspecies influences the choice of naïve bumblebees. Behavioral Ecology and Sociobiology. 65(5). 1015–1027. 57 indexed citations
9.
Dubois-Fernandez, Pascale, et al.. (2010). P-band SAR study of tropical forest in French Guiana. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7824. 78240O–78240O. 1 indexed citations
10.
Dubois-Fernandez, Pascale, Hélène Oriot, Hubert Cantalloube, et al.. (2010). TropiSAR: Exploring the temporal behavior of P-Band SAR data. 1319–1322. 13 indexed citations
11.
Blanc, Lilian, Bruno Hérault, Damien Bonal, et al.. (2009). Dynamics of aboveground carbon stocks in a selectively logged tropical forest. Ecological Applications. 19(6). 1397–1404. 113 indexed citations
12.
Jabot, Franck, Rampal S. Etienne, & Jérôme Chave. (2008). Reconciling neutral community models and environmental filtering: theory and an empirical test. Oikos. 117(9). 1308–1320. 112 indexed citations
13.
Laurance, William F., Henrique Eduardo Mendonça Nascimento, Susan G. W. Laurance, et al.. (2006). Rapid decay of tree-community composition in Amazonian forest fragments. Proceedings of the National Academy of Sciences. 103(50). 19010–19014. 351 indexed citations
14.
Chave, Jérôme. (2004). Neutral theory and community ecology. Ecology Letters. 7(3). 241–253. 797 indexed citations breakdown →
15.
Chave, Jérôme, Helene C. Muller‐Landau, & Simon A. Levin. (2002). Comparing Classical Community Models: Theoretical Consequences for Patterns of Diversity. The American Naturalist. 159(1). 1–23. 421 indexed citations
16.
Condit, Richard, Nigel C. A. Pitman, Egbert Giles Leigh, et al.. (2002). Beta-Diversity in Tropical Forest Trees. Science. 295(5555). 666–669. 1090 indexed citations breakdown →
17.
Chave, Jérôme. (2001). Spatial Patterns and Persistence of Woody Plant Species in Ecological Communities. The American Naturalist. 157(1). 51–65. 19 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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