Florence Cloppet

537 total citations
22 papers, 249 citations indexed

About

Florence Cloppet is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Florence Cloppet has authored 22 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Biophysics. Recurrent topics in Florence Cloppet's work include Image Retrieval and Classification Techniques (9 papers), Medical Image Segmentation Techniques (5 papers) and Cell Image Analysis Techniques (5 papers). Florence Cloppet is often cited by papers focused on Image Retrieval and Classification Techniques (9 papers), Medical Image Segmentation Techniques (5 papers) and Cell Image Analysis Techniques (5 papers). Florence Cloppet collaborates with scholars based in France, Pakistan and Tunisia. Florence Cloppet's co-authors include Nicole Vincent, Imran Siddiqi, Momina Moetesum, Georges Stamon, Salvatore Tabbone, Oriol Ramos Terrades, Yves‐Michel Frapart, Camille Kurtz, Marie-Thérèse Corvol and Dorra Sellami and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Florence Cloppet

19 papers receiving 238 citations

Peers

Florence Cloppet
Samadrita Roy Chowdhury United States
Andrea Rueda Colombia
Jiayue Cai Canada
Hamzeh Salameh Ahmad Shatnawi Saudi Arabia
Salim Arslan United Kingdom
Raghav Mehta India
Rasoul Khayati Iran
Ali K. Al-Awami Saudi Arabia
Laura Florea Romania
Junxing Shi United States
Samadrita Roy Chowdhury United States
Florence Cloppet
Citations per year, relative to Florence Cloppet Florence Cloppet (= 1×) peers Samadrita Roy Chowdhury

Countries citing papers authored by Florence Cloppet

Since Specialization
Citations

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

Fields of papers citing papers by Florence Cloppet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Cloppet

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

All Works

20 of 20 papers shown
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Vagena, Zografoula, et al.. (2024). Semantic aware representation learning for optimizing image retrieval systems in radiology. Pattern Recognition. 158. 111060–111060. 1 indexed citations
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Kurtz, Camille, et al.. (2022). Text-guided visual representation learning for medical image retrieval systems. 2022 26th International Conference on Pattern Recognition (ICPR). 593–598. 4 indexed citations
5.
Sellami, Dorra, et al.. (2019). Breast Cancer Diagnosis System Based on Semantic Analysis and Choquet Integral Feature Selection for High Risk Subjects. Big Data and Cognitive Computing. 3(3). 41–41. 3 indexed citations
6.
Sellami, Dorra, et al.. (2018). Ontology based decision system for breast cancer diagnosis. 1. 42–42. 2 indexed citations
7.
Moetesum, Momina, Imran Siddiqi, Nicole Vincent, & Florence Cloppet. (2018). Assessing visual attributes of handwriting for prediction of neurological disorders—A case study on Parkinson’s disease. Pattern Recognition Letters. 121. 19–27. 85 indexed citations
8.
Cloppet, Florence, et al.. (2016). Adaptive fuzzy model for blur estimation on document images. Pattern Recognition Letters. 86. 42–48. 5 indexed citations
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Cloppet, Florence, et al.. (2016). Local blur correction for document images. 1. 4059–4064. 3 indexed citations
10.
Moetesum, Momina, et al.. (2016). Segmentation and classification of offline hand drawn images for the BGT neuropsychological screening test. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10033. 100334N–100334N. 5 indexed citations
11.
Cloppet, Florence, et al.. (2016). OCR Accuracy Prediction Method Based on Blur Estimation. 317–322. 7 indexed citations
12.
Cloppet, Florence, Véronique Églin, Hubert Emptoz, et al.. (2012). New Tools for Exploring, Analysing and Categorising Medieval Scripts. SHILAP Revista de lepidopterología. 7(0). 4 indexed citations
13.
Cloppet, Florence, et al.. (2012). Fast Feature Selection for Handwritten Digit Recognition. 485–490. 6 indexed citations
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Cloppet, Florence, et al.. (2011). Writing property descriptors : a proposal for typological groupings. 56(1). 42–57. 1 indexed citations
16.
Cloppet, Florence, et al.. (2010). Segmentation of complex nucleus configurations in biological images. Pattern Recognition Letters. 31(8). 755–761. 29 indexed citations
17.
Terrades, Oriol Ramos, et al.. (2008). Feature selection combining genetic algorithm and Adaboost classifiers. Proceedings - International Conference on Pattern Recognition. 1–4. 21 indexed citations
18.
Cloppet, Florence, et al.. (2004). Change detection in aerial images. OpenMETU (Middle East Technical University). 1. 354–360. 2 indexed citations
19.
Cloppet, Florence, et al.. (2000). Angular bisector network, a simplified generalized Voronoi diagram: application to processing complex intersections in biomedical images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22(1). 120–128. 12 indexed citations
20.
Cloppet, Florence & Georges Stamon. (1998). Analysis of Images of Cells with Neurites. DergiPark (Istanbul University). 1 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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