Mathilde Carpentier

432 citations
15 papers · 343 · h-index 7

Impact in

Papers in

Mathilde Carpentier

15 papers receiving 338 citations

Peers

Mathilde Carpentier
Comparison fields: 5 of 67
  • Molecular Biology 160
  • Plant Science 77
  • Computational Theory and Mathematics 30
  • Microbiology 10
  • Immunology 21
Replace Luc Canard with:
Luc Canard France
Recep Adiyaman United Kingdom
Zongyang Du China
Fanny Gatzmann Germany
Shashi Bhushan Pandit India
Debashis Panda India
Donata Figaj Poland
Elisa Cilia Belgium
Anshul Sukhwal India
Andrew Michael Lynn India
Mathilde Carpentier relative to Luc Canard France Luc Canard's profile →
Citations per field
00.5×2×3.3×
Luc Canard · 1×
Citations per year

Countries citing papers authored by Mathilde Carpentier

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Carpentier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathilde Carpentier, 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 Mathilde Carpentier Line = papers co-authored together Mathilde Carpentier links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201193
2 200583
3 200558
4 201930
5 201924
6 201817
7 201511
8 20097
9 20056
10 20226
11 20203
12 20232
13
Implicit and Explicit Representation of Approximated Motifs
20051
14 20251
15 20261

About Mathilde Carpentier

Mathilde Carpentier is a scholar working on Molecular Biology, Artificial Intelligence, Biotechnology, Materials Chemistry and Immunology, having authored 15 papers that have together received 343 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Genomics and Phylogenetic Studies (3 papers), Algorithms and Data Compression (3 papers), Enzyme Structure and Function (2 papers), Protist diversity and phylogeny (2 papers), Plant Pathogenic Bacteria Studies (1 paper), Enzyme Production and Characterization (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Molecular Biology (160 citations), Plant Science (77 citations), Computational Theory and Mathematics (30 citations), Microbiology (10 citations) and Immunology (21 citations). Mathilde Carpentier has collaborated with scholars based in France, Argentina and Italy. Frequent co-authors include Jacques Chomilier, Joël F. Pothier, Sophie Brouillet, Pierre Tufféry, Jean‐François Zagury, Joëlle Hochez, François Moreews, Nicolas Renault, Hubert Cantalloube and Bruno O. Villoutreix. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Molecular Biology and Evolution, Applied and Environmental Microbiology, PLoS ONE and Bioinformatics.

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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