Mathématiques Appliquées à Paris 5

17.2k citations
1.2k papers ·

Impact in

Papers in

Mathématiques Appliquées à Paris 5

1.0k papers receiving 15.7k citations

Peers

Mathématiques Appliquées à Paris 5
Comparison fields: 5 of 233
  • Statistics and Probability 2.0k
  • Computer Vision and Pattern Recognition 3.9k
  • Finance 1.2k
  • Mathematical Physics 1.1k
  • Media Technology 962
Replace Transnational University Limburg with:
Transnational University Limburg Belgium
Laboratoire de Statistique Théorique et Appliquée France
London Institute for Mathematical Sciences United Kingdom
Statistics Belgium Belgium
ENSAE Paris France
Analyse, Géométrie et Modélisation France
Laboratoire Jean-Alexandre Dieudonné France
Laboratoire Ville Mobilité Transport France
Institut Montpelliérain Alexander Grothendieck France
Laboratoire de Physique Théorique et Modèles Statistiques France
Mathématiques Appliquées à Paris 5 relative to Transnational University Limburg Belgium Transnational University Limburg's profile →
Citations per field
00.5×2×3.4×
Transnational University Limburg · 1×
Citations per year

Countries citing scholars working at Mathématiques Appliquées à Paris 5

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Mathématiques Appliquées à Paris 5. 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 papers produced at Mathématiques Appliquées à Paris 5 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathématiques Appliquées à Paris 5 more than expected).

Fields of papers published by authors at Mathématiques Appliquées à Paris 5

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Mathématiques Appliquées à Paris 5 at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Mathématiques Appliquées à Paris 5 at the time of their publication.

About Mathématiques Appliquées à Paris 5

In recent decades, authors affiliated with Mathématiques Appliquées à Paris 5 have published 1.2k papers, which have received a total of 17.2k indexed citations . Scholars at this organization have produced 249 papers in Statistics and Probability, 146 papers in Mathematical Physics, 252 papers in Computer Vision and Pattern Recognition, 92 papers in Finance and 99 papers in Applied Mathematics on the topics of Statistical Methods and Inference (160 papers), Stochastic processes and statistical mechanics (90 papers), Bayesian Methods and Mixture Models (78 papers), Stochastic processes and financial applications (70 papers), Medical Image Segmentation Techniques (61 papers), Image and Signal Denoising Methods (57 papers), Statistical Methods and Bayesian Inference (48 papers) and Financial Risk and Volatility Modeling (44 papers). Their work is cited by papers focused on Statistics and Probability (2.0k citations), Computer Vision and Pattern Recognition (3.9k citations), Finance (1.2k citations), Mathematical Physics (1.1k citations) and Media Technology (962 citations). Authors at Mathématiques Appliquées à Paris 5 collaborate with scholars in France, United States and Germany and have published in prestigious journals including Stochastic Processes and their Applications, PLoS ONE, ESAIM Probability and Statistics, Electronic Journal of Statistics and Journal of Mathematical Imaging and Vision. Some of Mathématiques Appliquées à Paris 5's most productive authors include Lionel Moisan, Fabienne Comte, Julie Delon, Titus B. Zaharia, Brigitte Le Roux, Yann Gousseau, Valentine Genon‐Catalot, Adeline Samson, Agnès Desolneux and Ruxandra Țapu.

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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