Chloé Friguet

589 citations
10 papers · 383 indexed · h-index 7
Topics
Gene expression and cancer classification (5 papers)Statistical Methods in Clinical Trials (4 papers)Statistical Methods and Inference (2 papers)
Partner nations
FranceNetherlandsMorocco

In The Last Decade

Chloé Friguet

9 papers receiving 371 citations

Peers

Chloé Friguet
Comparison fields: 5 of 100
  • Plant Science 106
  • Computer Vision and Pattern Recognition 83
  • Molecular Biology 78
  • Statistics and Probability 74
  • Media Technology 47
Replace Elías N. Escobar-Gómez with:
Elías N. Escobar-Gómez Mexico
J. Miguel Marín Spain
Xinyan Fan China
Gongwei Chen China
Tiantian Yang China
Waqas Ahmed Malik Germany
Wei-Chien Chang United States
Louis Ferré France
José Brazil
Rogelio Florencia Mexico
Chloé Friguet relative to Elías N. Escobar-Gómez Mexico Elías N. Escobar-Gómez's profile →
Citations per field
00.5×5.2×
Elías N. Escobar-Gómez · 1×
Citations per year

Countries citing papers authored by Chloé Friguet

Since Specialization
Citations

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

Fields of papers citing papers by Chloé Friguet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chloé Friguet

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 5
2 119
3 10
4 16
5 0
6 11
7 11
8 115
9 2
10 94

About Chloé Friguet

Chloé Friguet is a scholar working on Statistics and Probability, Media Technology and Management Science and Operations Research, having authored 10 papers that have together received 383 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Statistical Methods in Clinical Trials (4 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Statistics and Probability (74 citations), Media Technology (47 citations) and Computer Vision and Pattern Recognition (83 citations). Chloé Friguet has collaborated with scholars based in France, Netherlands and Morocco. Frequent co-authors include David Causeur, Maëla Kloareg, Luc Courtrai, Sébastien Lefèvre, Minh‐Tan Pham, Alexandre Baussard, Elisabetta Moneta, Mathilde Causse, Silvana Grandillo and Monica Lee. Their work appears in journals such as Journal of the American Statistical Association, Remote Sensing and Journal of Food Science.

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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