Télécom SudParis

39.8k citations
2.9k papers ·

Impact in

Papers in

Télécom SudParis

2.7k papers receiving 38.4k citations

Peers

Télécom SudParis
Comparison fields: 5 of 225
  • Computer Networks and Communications 16.0k
  • Signal Processing 5.5k
  • Computational Mathematics 282
  • Transportation 3.0k
  • Information Systems 8.1k
Replace Institut Polytechnique de Paris with:
Institut Polytechnique de Paris France
Institut Mines-Télécom France
LIP6 France
Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux France
Heuristics and Diagnostics for Complex Systems France
Centre de Recherche en Informatique France
Laboratoire Traitement et Communication de l’Information France
Laboratoire d'Informatique de Paris-Nord France
iMinds Belgium
Laboratoire de Recherche en Informatique France
Télécom SudParis relative to Institut Polytechnique de Paris France Institut Polytechnique de Paris's profile →
Citations per field
00.5×1.5×
Institut Polytechnique de Paris · 1×
Citations per year

Countries citing scholars working at Télécom SudParis

Since Specialization
Citations

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

Fields of papers published by authors at Télécom SudParis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About Télécom SudParis

In recent decades, authors affiliated with Télécom SudParis have published 2.9k papers, which have received a total of 39.8k indexed citations . Scholars at this organization have produced 1.3k papers in Computer Networks and Communications, 345 papers in Signal Processing, 672 papers in Information Systems, 111 papers in Software and 512 papers in Computer Vision and Pattern Recognition on the topics of Service-Oriented Architecture and Web Services (237 papers), IoT and Edge/Fog Computing (218 papers), Caching and Content Delivery (161 papers), Context-Aware Activity Recognition Systems (157 papers), Cloud Computing and Resource Management (149 papers), Software-Defined Networks and 5G (147 papers), Opportunistic and Delay-Tolerant Networks (138 papers) and Network Security and Intrusion Detection (136 papers). Their work is cited by papers focused on Computer Networks and Communications (16.0k citations), Signal Processing (5.5k citations), Computational Mathematics (282 citations), Transportation (3.0k citations) and Information Systems (8.1k citations). Authors at Télécom SudParis collaborate with scholars in France, China and United States and have published in prestigious journals including IEEE Access, Lecture notes in computer science, IEEE Transactions on Signal Processing, Signal Processing and Sensors. Some of Télécom SudParis's most productive authors include Noël Crespi, Daqing Zhang, Djamal Zeghlache, Maryline Laurent, Anis Laouiti, Daqing Zhang, Wojciech Pieczynski, Bernadette Dorizzi, Jean-Pierre Delmas and Hakima Chaouchi.

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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