Laboratoire Informatique Paris Descartes

7.2k citations
455 papers ·

Impact in

Papers in

Laboratoire Informatique Paris Descartes

409 papers receiving 6.7k citations

Peers

Laboratoire Informatique Paris Descartes
Comparison fields: 5 of 210
  • Computer Networks and Communications 1.9k
  • Signal Processing 819
  • Computer Vision and Pattern Recognition 1.5k
  • Artificial Intelligence 2.3k
  • Computational Mathematics 36
Replace Technicolor (Germany) with:
Technicolor (Germany) Germany
Google (United Kingdom) United Kingdom
École Centrale d'Électronique France
IBM (United Kingdom) United Kingdom
ESIEA University France
Google (Switzerland) Switzerland
Centre d'Analyse et de Mathématique Sociales France
Philips (Belgium) Belgium
Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux France
Netherlands eScience Center Netherlands
Laboratoire Informatique Paris Descartes relative to Technicolor (Germany) Germany Technicolor (Germany)'s profile →
Citations per field
00.5×3.3×
Technicolor (Germany) · 1×
Citations per year

Countries citing scholars working at Laboratoire Informatique Paris Descartes

Since Specialization
Citations

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

Fields of papers published by authors at Laboratoire Informatique Paris Descartes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Laboratoire Informatique Paris Descartes 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 Laboratoire Informatique Paris Descartes at the time of their publication.

About Laboratoire Informatique Paris Descartes

In recent decades, authors affiliated with Laboratoire Informatique Paris Descartes have published 455 papers, which have received a total of 7.2k indexed citations . Scholars at this organization have produced 135 papers in Computer Vision and Pattern Recognition, 70 papers in Signal Processing, 175 papers in Artificial Intelligence, 97 papers in Computer Networks and Communications and 27 papers in Media Technology on the topics of Image Retrieval and Classification Techniques (52 papers), Time Series Analysis and Forecasting (36 papers), Advanced Image and Video Retrieval Techniques (31 papers), Anomaly Detection Techniques and Applications (27 papers), Data Management and Algorithms (27 papers), Multi-Agent Systems and Negotiation (24 papers), Advanced Clustering Algorithms Research (23 papers) and Caching and Content Delivery (23 papers). Their work is cited by papers focused on Computer Networks and Communications (1.9k citations), Signal Processing (819 citations), Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (2.3k citations) and Computational Mathematics (36 citations). Authors at Laboratoire Informatique Paris Descartes collaborate with scholars in France, United States and Belgium and have published in prestigious journals including Pattern Recognition, Pattern Recognition Letters, Computer Networks, Neurocomputing and Computer Communications. Some of Laboratoire Informatique Paris Descartes's most productive authors include Mohamed Nadif, Ahmed Mehaoua, Themis Palpanas, Jocelyne Elias, Hassine Moungla, Mamadou Mboup, Boubakr Nour, Osman Salem, Blaise Hanczar and Nicole Vincent.

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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