Véronique Deiss

122 total papers · 1.6k total citations
37 papers, 1.1k citations indexed

About

Véronique Deiss is a scholar working on Animal Science and Zoology, Small Animals and Cellular and Molecular Neuroscience. According to data from OpenAlex, Véronique Deiss has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Animal Science and Zoology, 18 papers in Small Animals and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Véronique Deiss's work include Animal Behavior and Welfare Studies (17 papers), Meat and Animal Product Quality (15 papers) and Effects of Environmental Stressors on Livestock (11 papers). Véronique Deiss is often cited by papers focused on Animal Behavior and Welfare Studies (17 papers), Meat and Animal Product Quality (15 papers) and Effects of Environmental Stressors on Livestock (11 papers). Véronique Deiss collaborates with scholars based in France, Morocco and Australia. Véronique Deiss's co-authors include Claudia Terlouw, Cécile Bourguet, Alain Boissy, Alexandra Destrez, Cécile Berri, Florence Lefèvre, Caroline Lee, Sylvie Rousset, Benoît Aupérin and Cécile Arnould and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

Véronique Deiss

36 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Véronique Deiss 639 584 249 105 93 37 1.1k
J. Morrow-Tesch 669 1.0× 672 1.2× 236 0.9× 54 0.5× 58 0.6× 28 1.3k
G. C. Perry 935 1.5× 422 0.7× 146 0.6× 91 0.9× 34 0.4× 65 1.4k
Adriana Domínguez-Oliva 483 0.8× 501 0.9× 276 1.1× 42 0.4× 36 0.4× 85 1.2k
Emma Fàbrega 780 1.2× 746 1.3× 192 0.8× 53 0.5× 60 0.6× 61 1.1k
Ulrike Weiler 795 1.2× 418 0.7× 191 0.8× 65 0.6× 183 2.0× 40 1.2k
J.L. Ruiz-de-la-Torre 737 1.2× 856 1.5× 615 2.5× 36 0.3× 38 0.4× 55 1.5k
Marianne Farish 673 1.1× 973 1.7× 451 1.8× 60 0.6× 120 1.3× 41 1.5k
A. B. M. Raj 799 1.3× 459 0.8× 88 0.4× 199 1.9× 54 0.6× 52 1.2k
Aline Foury 644 1.0× 570 1.0× 239 1.0× 42 0.4× 47 0.5× 49 1.5k
K. Dahlborn 499 0.8× 428 0.7× 214 0.9× 26 0.2× 130 1.4× 77 1.4k

Countries citing papers authored by Véronique Deiss

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Deiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Deiss

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