Chloé Friguet

589 total citations
10 papers, 383 citations indexed

About

Chloé Friguet is a scholar working on Molecular Biology, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chloé Friguet has authored 10 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Statistics and Probability and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chloé Friguet's work include Gene expression and cancer classification (5 papers), Statistical Methods in Clinical Trials (4 papers) and Statistical Methods and Inference (2 papers). Chloé Friguet is often cited by papers focused on Gene expression and cancer classification (5 papers), Statistical Methods in Clinical Trials (4 papers) and Statistical Methods and Inference (2 papers). Chloé Friguet collaborates with scholars based in France, Netherlands and Morocco. Chloé Friguet's co-authors include David Causeur, Maëla Kloareg, Sébastien Lefèvre, Luc Courtrai, Minh‐Tan Pham, Alexandre Baussard, Monica Lee, Silvana Grandillo, B. Navez and Nancy Holthuysen and has published in prestigious journals such as Journal of the American Statistical Association, Remote Sensing and Journal of Food Science.

In The Last Decade

Chloé Friguet

9 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chloé Friguet France	7	106	83	78	74	47	10	383
Elías N. Escobar-Gómez Mexico	7	77 0.7×	30 0.4×	19 0.2×	86 1.2×	9 0.2×	20	326
Gongwei Chen China	11	94 0.9×	128 1.5×	174 2.2×	4 0.1×	11 0.2×	26	368
Waqas Ahmed Malik Germany	13	367 3.5×	23 0.3×	114 1.5×	14 0.2×	3 0.1×	52	549
J. Miguel Marín Spain	11	15 0.1×	32 0.4×	19 0.2×	186 2.5×	13 0.3×	27	410
Xinyan Fan China	13	67 0.6×	96 1.2×	30 0.4×	13 0.2×	11 0.2×	51	731
Wei-Chien Chang United States	6	18 0.2×	59 0.7×	42 0.5×	98 1.3×	15 0.3×	12	321
Luca Gatti Italy	10	96 0.9×	36 0.4×	21 0.3×	2 0.0×	17 0.4×	23	330
Jing Pang China	9	170 1.6×	28 0.3×	23 0.3×	2 0.0×	13 0.3×	33	361
Hyuk Cho United States	9	27 0.3×	105 1.3×	207 2.7×	3 0.0×	14 0.3×	33	512
José Spain	8	88 0.8×	6 0.1×	79 1.0×	13 0.2×	2 0.0×	112	321

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

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10 of 10 papers shown

Chapel, Laëtitia, et al.. (2021). Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. Machine Learning. 112(6). 1975–2001. 5 indexed citations

Pham, Minh‐Tan, Luc Courtrai, Chloé Friguet, Sébastien Lefèvre, & Alexandre Baussard. (2020). YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images. Remote Sensing. 12(15). 2501–2501. 119 indexed citations

Courtrai, Luc, Minh‐Tan Pham, Chloé Friguet, & Sébastien Lefèvre. (2020). Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs. HAL (Le Centre pour la Communication Scientifique Directe). 260–263. 10 indexed citations

Perthame, Émeline, Chloé Friguet, & David Causeur. (2015). Stability of feature selection in classification issues for high-dimensional correlated data. Statistics and Computing. 26(4). 783–796. 16 indexed citations

Emily, Mathieu & Chloé Friguet. (2015). Power evaluation of asymptotic tests for comparing two binomial proportions to detect direct and indirect association in large-scale studies. Statistical Methods in Medical Research. 26(6). 2780–2799.

Friguet, Chloé & David Causeur. (2011). Estimation of the proportion of true null hypotheses in high-dimensional data under dependence. Computational Statistics & Data Analysis. 55(9). 2665–2676. 11 indexed citations

Causeur, David, et al.. (2011). Factor Analysis for Multiple Testing (FAMT): AnRPackage for Large-Scale Significance Testing under Dependence. Journal of Statistical Software. 40(14). 11 indexed citations

Causse, Mathilde, Chloé Friguet, B. Navez, et al.. (2010). Consumer Preferences for Fresh Tomato at the European Scale: A Common Segmentation on Taste and Firmness. Journal of Food Science. 75(9). S531–41. 115 indexed citations

Causeur, David, Maëla Kloareg, & Chloé Friguet. (2009). Control of the FWER in Multiple Testing Under Dependence. Communication in Statistics- Theory and Methods. 38(16-17). 2733–2747. 2 indexed citations

10.

Friguet, Chloé, Maëla Kloareg, & David Causeur. (2009). A Factor Model Approach to Multiple Testing Under Dependence. Journal of the American Statistical Association. 104(488). 1406–1415. 94 indexed citations

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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