Valéry Gond

4.1k total citations
92 papers, 2.7k citations indexed

About

Valéry Gond is a scholar working on Global and Planetary Change, Ecology and Forestry. According to data from OpenAlex, Valéry Gond has authored 92 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Global and Planetary Change, 41 papers in Ecology and 26 papers in Forestry. Recurrent topics in Valéry Gond's work include Remote Sensing in Agriculture (29 papers), Land Use and Ecosystem Services (29 papers) and Conservation, Biodiversity, and Resource Management (27 papers). Valéry Gond is often cited by papers focused on Remote Sensing in Agriculture (29 papers), Land Use and Ecosystem Services (29 papers) and Conservation, Biodiversity, and Resource Management (27 papers). Valéry Gond collaborates with scholars based in France, United States and French Guiana. Valéry Gond's co-authors include Hugh Eva, Susan G. W. Laurance, Ghislain Vieilledent, R. Ceulemans, Frank Veroustraete, Sylvie Gourlet‐Fleury, Guillaume Cornu, Alan Belward, Simon Jones and M. Sgrenzaroli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Valéry Gond

90 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valéry Gond France 31 1.5k 1.3k 665 563 280 92 2.7k
Javier Gallego Italy 18 1.7k 1.2× 1.3k 1.0× 474 0.7× 492 0.9× 246 0.9× 27 2.8k
Hans‐Jürgen Stibig Italy 18 2.2k 1.5× 1.5k 1.1× 565 0.8× 762 1.4× 246 0.9× 22 3.4k
Jukka Miettinen Singapore 28 2.2k 1.4× 2.4k 1.8× 504 0.8× 376 0.7× 342 1.2× 55 3.6k
Mukunda Dev Behera India 30 1.2k 0.8× 1.0k 0.8× 619 0.9× 705 1.3× 358 1.3× 135 2.6k
J. P. Malingreau Italy 18 1.8k 1.2× 1.4k 1.0× 572 0.9× 515 0.9× 361 1.3× 40 2.9k
Fernando Del Bon Espírito-Santo Brazil 22 1.4k 0.9× 1.1k 0.9× 923 1.4× 903 1.6× 164 0.6× 40 2.6k
Edson Eyji Sano Brazil 27 1.5k 1.0× 1.4k 1.1× 829 1.2× 483 0.9× 309 1.1× 170 3.7k
Egídio Arai Brazil 22 1.8k 1.2× 1.1k 0.8× 392 0.6× 344 0.6× 240 0.9× 61 2.6k
Subrata Nandy India 23 923 0.6× 985 0.7× 682 1.0× 464 0.8× 178 0.6× 84 1.9k
Amy Pickens United States 19 2.0k 1.3× 1.5k 1.1× 1.0k 1.6× 443 0.8× 441 1.6× 29 3.4k

Countries citing papers authored by Valéry Gond

Since Specialization
Citations

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

Fields of papers citing papers by Valéry Gond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valéry Gond

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

All Works

20 of 20 papers shown
1.
Simonetti, Dario, et al.. (2025). Tracking mangrove ecosystem dynamics: A remote sensing approach for species classification and conservation assessment. Global Ecology and Conservation. 63. e03865–e03865.
2.
Piponiot, Camille, et al.. (2025). Assessing the effectiveness of mangrove rehabilitation using above-ground biomass and structural diversity. Scientific Reports. 15(1). 7839–7839. 3 indexed citations
3.
Wagner, Fabien, Lilian Blanc, Julie Betbeder, et al.. (2022). How wildfires increase sensitivity of Amazon forests to droughts. Environmental Research Letters. 17(4). 44031–44031. 12 indexed citations
4.
Betbeder, Julie, Damien Arvor, Lilian Blanc, et al.. (2021). Assessing the Causes of Tropical Forest Degradation Using Landsat Time Series: A Case Study in the Brazilian Amazon. SPIRE - Sciences Po Institutional REpository. 1015–1018. 1 indexed citations
5.
Grantham, Hedley S., Aurélie Shapiro, Valéry Gond, et al.. (2020). Spatial priorities for conserving the most intact biodiverse forests within Central Africa. Environmental Research Letters. 15(9). 0940b5–0940b5. 29 indexed citations
6.
Oszwald, Johan, et al.. (2020). Land Use and Land Cover Dynamics Analysis of the Togodo Protected Area and Its Surroundings in Southeastern Togo, West Africa. Sustainability. 12(13). 5439–5439. 31 indexed citations
7.
Bourgoin, Clément, Johan Oszwald, Jérémy Bourgoin, et al.. (2019). Assessing the ecological vulnerability of forest landscape to agricultural frontier expansion in the Central Highlands of Vietnam. International Journal of Applied Earth Observation and Geoinformation. 84. 101958–101958. 54 indexed citations
8.
Philippon, Nathalie, Guillaume Cornu, Valéry Gond, et al.. (2018). The light-deficient climates of western Central African evergreen forests. Environmental Research Letters. 14(3). 34007–34007. 42 indexed citations
9.
Simonetti, Dario, et al.. (2017). Google Earth Engine Based Three Decadal Landsat Imagery Analysis for Mapping of Mangrove Forests and Its Surroundings in the Trat Province of Thailand. Journal of Computer and Communications. 6(1). 247–264. 53 indexed citations
10.
11.
Blanc, Lilian, Joice Ferreira, Marie-Gabrielle Piketty, et al.. (2017). Managing degraded forests, a new priority in the Brazilian Amazon. SPIRE - Sciences Po Institutional REpository. 1–4. 3 indexed citations
12.
Tritsch, Isabelle, Plínio Sist, Igor da Silva Narvaes, et al.. (2016). Multiple Patterns of Forest Disturbance and Logging Shape Forest Landscapes in Paragominas, Brazil. Forests. 7(12). 315–315. 32 indexed citations
13.
Thoisy, Benoı̂t de, et al.. (2016). Predators, Prey and Habitat Structure: Can Key Conservation Areas and Early Signs of Population Collapse Be Detected in Neotropical Forests?. PLoS ONE. 11(11). e0165362–e0165362. 18 indexed citations
14.
Molto, Quentin, Maxime Réjou‐Méchain, Nicolas Bayol, et al.. (2015). Modeling forest biomass of the Congo basin from extensive commercial inventories. Agritrop (Cirad). 11657. 1 indexed citations
15.
Gond, Valéry, et al.. (2010). Using MODIS Time Series to Characterize the Annual Dynamics of Photosynthesis in Tropical Forests of Central Africa. The International Forestry Review. 1 indexed citations
16.
Guitet, Stéphane, Valéry Gond, & Olivier Brunaux. (2007). Les satellites au service du forestier guyanais pour améliorer l'organisation et le contrôle de l'exploitation forestière. Agritrop (Cirad). 1 indexed citations
17.
Gond, Valéry, et al.. (2003). Télédétection et aménagement forestier tropical : les pistes d'exploitation. Agritrop (Cirad). 1 indexed citations
18.
Eva, Hugh, E. E. de Miranda, Carlos Marcelo Di Bella, et al.. (2002). A vegetation map of South America. Agritrop (Cirad). 122(Suppl). 50–1P. 66 indexed citations
19.
Gond, Valéry, et al.. (2002). Utilisation de photographies hémisphériques sous le couvert forestier guyanais. BOIS & FORETS DES TROPIQUES. 274. 71–72. 1 indexed citations
20.

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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