Télécom Paris

196.7k citations
10.1k papers ·

Impact in

Papers in

Télécom Paris

9.5k papers receiving 196.7k citations

Peers

Télécom Paris
Comparison fields: 5 of 243
  • Signal Processing 20.4k
  • Computational Mathematics 803
  • Computer Vision and Pattern Recognition 26.9k
  • Artificial Intelligence 38.9k
  • Computer Networks and Communications 24.8k
Replace ParisTech with:
ParisTech France
Laboratoire Traitement et Communication de l’Information France
Institut de Recherche en Informatique et Systèmes Aléatoires France
Alcatel-Lucent (France) France
iMinds Belgium
Orange (France) France
Microsoft Research (United Kingdom) United Kingdom
Centrum Wiskunde & Informatica Netherlands
IMEC Belgium
Institut Mines-Télécom France
Télécom Paris relative to ParisTech France ParisTech's profile →
Citations per field
00.5×2×2.5×
ParisTech · 1×
Citations per year

Countries citing scholars working at Télécom Paris

Since Specialization
Citations

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

Fields of papers published by authors at Télécom Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Télécom Paris 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 Télécom Paris at the time of their publication.

About Télécom Paris

In recent decades, authors affiliated with Télécom Paris have published 10.1k papers, which have received a total of 196.7k indexed citations . Scholars at this organization have produced 911 papers in Signal Processing, 1.6k papers in Computer Networks and Communications, 2k papers in Artificial Intelligence, 1.2k papers in Computer Vision and Pattern Recognition and 2.1k papers in Electrical and Electronic Engineering on the topics of Advanced Wireless Communication Techniques (352 papers), Coding theory and cryptography (342 papers), Semiconductor Lasers and Optical Devices (267 papers), Cryptographic Implementations and Security (244 papers), Network Traffic and Congestion Control (239 papers), Optical Network Technologies (216 papers), Medical Image Segmentation Techniques (213 papers) and Video Coding and Compression Technologies (195 papers). Their work is cited by papers focused on Signal Processing (20.4k citations), Computational Mathematics (803 citations), Computer Vision and Pattern Recognition (26.9k citations), Artificial Intelligence (38.9k citations) and Computer Networks and Communications (24.8k citations). Authors at Télécom Paris collaborate with scholars in France, United States and Germany and have published in prestigious journals including IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, Lecture notes in computer science, IEEE Photonics Technology Letters and IEEE Transactions on Communications. Some of Télécom Paris's most productive authors include Pascal Paillier, J.-F. Cardoso, Éric Moulines, Isabelle Bloch A, Denis Matignon, J.-C. Belfiore, Olivier Cappé, Claude Berrou, Karim Abed‐Meraim and Alain Glavieux.

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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