Frédéric Brunet

66 papers receiving 3.6k citations

Frédéric Brunet's Hit Papers

Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models 2023 · 140 citations
1400+1+2Years since publication4080120

Peers

Frédéric Brunet
Comparison fields: 5 of 133
  • Physiology 218
  • Aging 52
  • Genetics 795
  • Geochemistry and Petrology 158
  • Molecular Biology 1.6k
Replace Colin Brownlee with:
Colin Brownlee United Kingdom
Timothy J. Sullivan United States
James J. Childress United States
K. Simkiss United Kingdom
Li Zhou China
William J. Young United States
Melody S. Clark United Kingdom
Tomoko Ishikawa Japan
Adalberto Luís Val Brazil
María José Costa Portugal
Frédéric Brunet relative to Colin Brownlee United Kingdom Colin Brownlee's profile →
Citations per field
00.5×5.2×
Colin Brownlee · 1×
Citations per year

Countries citing papers authored by Frédéric Brunet

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Brunet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Brunet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frédéric Brunet Line = papers co-authored together Frédéric Brunet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006322
2 2004283
3 2009204
4 2008189
5
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
Hit paper breakdown →
2023140
6 2014122
7 2002115
8 2008112
9 2006105
10 2009102
11 2005101
12 200599
13 200496
14 200287
15 200884
16 200980
17 202379
18 200678
19 200874
20 201271

About Frédéric Brunet

Frédéric Brunet is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology and Geochemistry and Petrology, having authored 66 papers that have together received 3.6k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (20 papers), Genomics and Phylogenetic Studies (14 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (12 papers), Groundwater and Isotope Geochemistry (6 papers), Reproductive biology and impacts on aquatic species (6 papers), RNA and protein synthesis mechanisms (6 papers), Geology and Paleoclimatology Research (5 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Physiology (218 citations), Aging (52 citations), Genetics (795 citations), Geochemistry and Petrology (158 citations) and Molecular Biology (1.6k citations). Frédéric Brunet has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Vincent Laudet, Jean‐Nicolas Volff, Marc Robinson‐Rechavi, Manyuan Long, Jean‐Luc Probst, Mathilde Paris, Héctor Escrivá, Stéphanie Bertrand, Gilles Parmentier and Pierre Capy. Their work appears in journals such as Journal of Molecular Evolution, BMC Evolutionary Biology, PLoS Genetics, Proceedings of the National Academy of Sciences and Genome Biology and Evolution.

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.

Explore authors with similar magnitude of impact