Mathieu Rocle

676 total citations · 1 hit paper
5 papers, 464 citations indexed

About

Mathieu Rocle is a scholar working on Ecology, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Mathieu Rocle has authored 5 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, 3 papers in Molecular Biology and 1 paper in Nature and Landscape Conservation. Recurrent topics in Mathieu Rocle's work include Environmental DNA in Biodiversity Studies (4 papers), Microbial Community Ecology and Physiology (3 papers) and Identification and Quantification in Food (3 papers). Mathieu Rocle is often cited by papers focused on Environmental DNA in Biodiversity Studies (4 papers), Microbial Community Ecology and Physiology (3 papers) and Identification and Quantification in Food (3 papers). Mathieu Rocle collaborates with scholars based in France, Austria and Norway. Mathieu Rocle's co-authors include Tony Déjean, Alice Valentini, Anthony Maire, Pauline Jean, Didier Pont, Nicolas Roset, Olivier Delaigue, Virginie Marques, Stéphanie Manel and Pierre‐Édouard Guérin and has published in prestigious journals such as Scientific Reports, Hydrobiologia and Ecography.

In The Last Decade

Mathieu Rocle

5 papers receiving 450 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Environmental DNA reveals quantitative patterns of fish biodiversity in large rivers despite its downstream transportation

2018 326 citations Didier Pont, Mathieu Rocle et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathieu Rocle France	4	453	349	151	47	13	5	464
Nathaniel T. Marshall United States	8	337 0.7×	225 0.6×	83 0.5×	35 0.7×	35 2.7×	14	361
Graham S. Sellers United Kingdom	7	217 0.5×	175 0.5×	65 0.4×	35 0.7×	10 0.8×	14	234
Georgia Nester Australia	5	302 0.7×	237 0.7×	44 0.3×	31 0.7×	18 1.4×	7	317
Pauline Jean France	7	505 1.1×	406 1.2×	171 1.1×	58 1.2×	22 1.7×	8	534
Sune Agersnap Denmark	7	289 0.6×	211 0.6×	45 0.3×	39 0.8×	39 3.0×	8	302
Ryo O. Gotoh Japan	8	364 0.8×	327 0.9×	75 0.5×	15 0.3×	25 1.9×	9	403
Brian Klitgaard Hansen Denmark	8	375 0.8×	328 0.9×	62 0.4×	23 0.5×	32 2.5×	19	410
Victoria Priestley United Kingdom	5	274 0.6×	178 0.5×	59 0.4×	45 1.0×	39 3.0×	5	293
Hayley V. Watson United Kingdom	7	180 0.4×	130 0.4×	50 0.3×	23 0.5×	14 1.1×	8	200
Anne Tréguier France	5	374 0.8×	305 0.9×	83 0.5×	54 1.1×	47 3.6×	5	388

Countries citing papers authored by Mathieu Rocle

Since Specialization

Citations

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

Fields of papers citing papers by Mathieu Rocle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Rocle

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

All Works

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5 of 5 papers shown

1.

Prié, Vincent, Nicolas Roset, Thibault Vigneron, et al.. (2021). Cinq ans d’inventaires des Bivalves de France par analyse de l’ADN environnemental : quelles conclusions, quelles perspectives ?. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

2.

Marques, Virginie, Pierre‐Édouard Guérin, Mathieu Rocle, et al.. (2020). Blind assessment of vertebrate taxonomic diversity across spatial scales by clustering environmental DNA metabarcoding sequences. Ecography. 43(12). 1779–1790. 39 indexed citations

3.

Prié, Vincent, Alice Valentini, Manuel Lopes‐Lima, et al.. (2020). Environmental DNA metabarcoding for freshwater bivalves biodiversity assessment: methods and results for the Western Palearctic (European sub-region). Hydrobiologia. 848(12-13). 2931–2950. 43 indexed citations

4.

Pont, Didier, Alice Valentini, Mathieu Rocle, et al.. (2019). The future of fish‐based ecological assessment of European rivers: from traditional EU Water Framework Directive compliant methods to eDNA metabarcoding‐based approaches. Journal of Fish Biology. 98(2). 354–366. 55 indexed citations

5.

Pont, Didier, Mathieu Rocle, Alice Valentini, et al.. (2018). Environmental DNA reveals quantitative patterns of fish biodiversity in large rivers despite its downstream transportation. Scientific Reports. 8(1). 10361–10361. 326 indexed citations breakdown →

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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