Emmanuelle Vaudour

171 total papers · 2.4k total citations
51 papers, 1.7k citations indexed

About

Emmanuelle Vaudour is a scholar working on Environmental Engineering, Ecology and Soil Science. According to data from OpenAlex, Emmanuelle Vaudour has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Environmental Engineering, 27 papers in Ecology and 15 papers in Soil Science. Recurrent topics in Emmanuelle Vaudour's work include Remote Sensing in Agriculture (26 papers), Soil Geostatistics and Mapping (25 papers) and Geochemistry and Geologic Mapping (14 papers). Emmanuelle Vaudour is often cited by papers focused on Remote Sensing in Agriculture (26 papers), Soil Geostatistics and Mapping (25 papers) and Geochemistry and Geologic Mapping (14 papers). Emmanuelle Vaudour collaborates with scholars based in France, United States and Italy. Emmanuelle Vaudour's co-authors include Cécile Gomez, Jean-Marc Gilliot, Youssef Fouad, Nicolas Baghdadi, Dominique Arrouays, Victoria A. Carey, Thomas Loiseau, Philippe Lagacherie, Diego Fernando Urbina Salazar and Edoardo A.C. Costantini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Soil Biology and Biochemistry.

In The Last Decade

Emmanuelle Vaudour

48 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emmanuelle Vaudour 898 687 523 451 387 51 1.7k
Cristian Valeriu Patriche 194 0.2× 368 0.5× 363 0.7× 285 0.6× 121 0.3× 65 1.6k
Qingrui Chang 409 0.5× 682 1.0× 387 0.7× 427 0.9× 289 0.7× 91 1.9k
Francisco J. Moral 475 0.5× 301 0.4× 228 0.4× 385 0.9× 43 0.1× 87 1.3k
Angelo Basile 691 0.8× 174 0.3× 579 1.1× 416 0.9× 38 0.1× 74 1.8k
Laurent Prévot 1.1k 1.2× 833 1.2× 199 0.4× 546 1.2× 52 0.1× 58 2.0k
Bruno Tisseyre 390 0.4× 622 0.9× 164 0.3× 1.1k 2.5× 30 0.1× 105 1.6k
Antonello Bonfante 237 0.3× 207 0.3× 410 0.8× 530 1.2× 26 0.1× 55 1.3k
Pierre Roudier 1.1k 1.2× 480 0.7× 699 1.3× 246 0.5× 379 1.0× 45 1.9k
María Mar Alsina 407 0.5× 669 1.0× 412 0.8× 1.1k 2.5× 84 0.2× 58 2.0k
R. López-Urrea 355 0.4× 277 0.4× 929 1.8× 915 2.0× 141 0.4× 80 2.1k

Countries citing papers authored by Emmanuelle Vaudour

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuelle Vaudour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuelle Vaudour

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

All Works

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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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