Stéphanie Prévost

114 total papers · 612 total citations
33 papers, 284 citations indexed

About

Stéphanie Prévost is a scholar working on Animal Science and Zoology, Computer Vision and Pattern Recognition and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Stéphanie Prévost has authored 33 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Animal Science and Zoology, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Stéphanie Prévost's work include Pharmacological Effects and Assays (7 papers), Advanced Vision and Imaging (6 papers) and Hormonal and reproductive studies (5 papers). Stéphanie Prévost is often cited by papers focused on Pharmacological Effects and Assays (7 papers), Advanced Vision and Imaging (6 papers) and Hormonal and reproductive studies (5 papers). Stéphanie Prévost collaborates with scholars based in France, Morocco and Belgium. Stéphanie Prévost's co-authors include Bruno Le Bizec, Gaud Dervilly, Fabrice Monteau, Joël Léonard, Laurent Lucas, Geert Janssens, D. Courtheyn, Norbert De Kimpe, Sven Mangelinckx and G. De Poorter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Stéphanie Prévost

28 papers receiving 269 citations

Author Peers

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

Author						Papers	Cites
Stéphanie Prévost	73	72	63	58	56	33	284
Fengen Wang	103 1.4×	50 0.7×	5 0.1×	105 1.8×	24 0.4×	32	318
Ho Jun Kim	98 1.3×	29 0.4×	87 1.4×	37 0.6×	53 0.9×	29	326
Xiaodi Zhang	165 2.3×	86 1.2×	10 0.2×	67 1.2×	11 0.2×	24	330
Yixuan Liu	98 1.3×	15 0.2×	10 0.2×	36 0.6×	11 0.2×	22	312
Xue Chen	51 0.7×	52 0.7×	10 0.2×	27 0.5×	3 0.1×	20	293
Pavel Cejnar	93 1.3×	10 0.1×	9 0.1×	24 0.4×	38 0.7×	33	314
Sanjiv Kumar	142 1.9×	29 0.4×	6 0.1×	69 1.2×	5 0.1×	20	322
Won Tae Jeong	56 0.8×	5 0.1×	12 0.2×	68 1.2×	15 0.3×	36	272
Jun Li	94 1.3×	7 0.1×	6 0.1×	24 0.4×	3 0.1×	21	315
Meelis Ots	42 0.6×	88 1.2×	11 0.2×	54 0.9×	2 0.0×	26	325

Countries citing papers authored by Stéphanie Prévost

Since Specialization

Citations

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

Fields of papers citing papers by Stéphanie Prévost

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphanie Prévost

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