École Centrale d'Électronique

11.2k citations
784 papers ·

Impact in

Papers in

École Centrale d'Électronique

706 papers receiving 10.3k citations

Peers

École Centrale d'Électronique
Comparison fields: 5 of 221
  • Computer Vision and Pattern Recognition 1.7k
  • Fluid Flow and Transfer Processes 356
  • Software 228
  • Computational Mechanics 1.0k
  • Hardware and Architecture 326
Replace Robert Bosch (Netherlands) with:
Robert Bosch (Netherlands) Netherlands
Dassault Aviation (France) France
Dassault Systèmes (France) France
ESI Group (France) France
Airbus (United Kingdom) United Kingdom
Maison de la Simulation France
Ministry of Defence Netherlands
Georgia Tech-Europe France
Institut de Recherche Technologique SystemX France
Continental (Germany) Germany
École Centrale d'Électronique relative to Robert Bosch (Netherlands) Netherlands Robert Bosch (Netherlands)'s profile →
Citations per field
00.5×1.5×2.2×
Robert Bosch (Netherlands) · 1×
Citations per year

Countries citing scholars working at École Centrale d'Électronique

Since Specialization
Citations

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

Fields of papers published by authors at École Centrale d'Électronique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with École Centrale d'Électronique 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 École Centrale d'Électronique at the time of their publication.

About École Centrale d'Électronique

In recent decades, authors affiliated with École Centrale d'Électronique have published 784 papers, which have received a total of 11.2k indexed citations . Scholars at this organization have produced 31 papers in Hardware and Architecture, 84 papers in Computational Mechanics, 96 papers in Computer Networks and Communications, 80 papers in Computer Vision and Pattern Recognition and 22 papers in Fluid Flow and Transfer Processes on the topics of Combustion and flame dynamics (30 papers), Real-Time Systems Scheduling (25 papers), Gas Dynamics and Kinetic Theory (25 papers), Autonomous Vehicle Technology and Safety (22 papers), Advanced Combustion Engine Technologies (20 papers), Plasma Applications and Diagnostics (20 papers), Complex Systems and Time Series Analysis (15 papers) and Computational Fluid Dynamics and Aerodynamics (15 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (1.7k citations), Fluid Flow and Transfer Processes (356 citations), Software (228 citations), Computational Mechanics (1.0k citations) and Hardware and Architecture (326 citations). Authors at École Centrale d'Électronique collaborate with scholars in France, United States and China and have published in prestigious journals including Journal of Sensor and Actuator Networks, IEEE Access, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Plasma Science and Journal of Materials Chemistry A. Some of École Centrale d'Électronique's most productive authors include Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Anastasia Bezerianos, Laurent George, Christophe O. Laux, Alain Fabre, Deanna A. Lacoste, Amar Ramdane-Chérif and Assia Soukane.

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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