Danièle Valdés

33 total papers · 741 total citations
18 papers, 593 citations indexed

About

Danièle Valdés is a scholar working on Geochemistry and Petrology, Earth-Surface Processes and Environmental Engineering. According to data from OpenAlex, Danièle Valdés has authored 18 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Geochemistry and Petrology, 10 papers in Earth-Surface Processes and 8 papers in Environmental Engineering. Recurrent topics in Danièle Valdés's work include Groundwater and Isotope Geochemistry (10 papers), Karst Systems and Hydrogeology (10 papers) and Groundwater and Watershed Analysis (5 papers). Danièle Valdés is often cited by papers focused on Groundwater and Isotope Geochemistry (10 papers), Karst Systems and Hydrogeology (10 papers) and Groundwater and Watershed Analysis (5 papers). Danièle Valdés collaborates with scholars based in France, Canada and United States. Danièle Valdés's co-authors include Benoı̂t Laignel, Nicolas Masséi, Barbara J. Mahler, J. P. Dupont, Sylvie Ogier, Jean‐Paul Dupont, Matthieu Fournier, Florent Barbecot, Alain Durand and Julien Deloffre and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Danièle Valdés

17 papers receiving 567 citations

Author Peers

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

Author						Papers	Cites
Danièle Valdés	297	252	236	176	123	18	593
Jean‐Baptiste Charlier	200 0.7×	226 0.9×	158 0.7×	192 1.1×	133 1.1×	31	643
Vincent Bailly-Comte	405 1.4×	481 1.9×	299 1.3×	190 1.1×	108 0.9×	25	687
Eve L. Kuniansky	384 1.3×	285 1.1×	242 1.0×	119 0.7×	49 0.4×	31	621
Perrine Fleury	283 1.0×	423 1.7×	271 1.1×	190 1.1×	92 0.7×	14	577
Neven Krešić	345 1.2×	176 0.7×	196 0.8×	148 0.8×	44 0.4×	13	535
Bruno Arfib	196 0.7×	284 1.1×	185 0.8×	107 0.6×	39 0.3×	30	555
Qinbo Cheng	192 0.6×	172 0.7×	124 0.5×	284 1.6×	150 1.2×	29	588
C. Leibundgut	231 0.8×	98 0.4×	133 0.6×	281 1.6×	146 1.2×	23	542
Wenbo Rao	166 0.6×	134 0.5×	295 1.3×	132 0.8×	69 0.6×	30	540
Christoph Neukum	348 1.2×	156 0.6×	304 1.3×	145 0.8×	59 0.5×	32	595

Countries citing papers authored by Danièle Valdés

Since Specialization

Citations

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

Fields of papers citing papers by Danièle Valdés

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danièle Valdés

This figure shows the co-authorship network connecting the top 25 collaborators of Danièle Valdés. A scholar is included among the top collaborators of Danièle Valdés 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 Danièle Valdés. Danièle Valdés 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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