iMinds

86.0k citations
3.3k papers ·

Impact in

Papers in

iMinds

3.1k papers receiving 81.0k citations

Peers

iMinds
Comparison fields: 5 of 244
  • Computational Mathematics 1.3k
  • Computer Vision and Pattern Recognition 15.2k
  • Media Technology 5.5k
  • Signal Processing 6.0k
  • Computer Networks and Communications 11.9k
Replace Laboratoire Traitement et Communication de l’Information with:
Laboratoire Traitement et Communication de l’Information France
Télécom Paris France
Centrum Wiskunde & Informatica Netherlands
Institut Mines-Télécom France
Laboratoire d'Informatique de Paris-Nord France
Institut Polytechnique de Paris France
Max Planck Institute for Informatics Germany
Centre de Recherche en Informatique France
Technische Universität Ilmenau Germany
Centre Inria de l'Université de Rennes France
iMinds relative to Laboratoire Traitement et Communication de l’Information France Laboratoire Traitement et Communication de l’Information's profile →
Citations per field
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Laboratoire Traitement et Communication de l’Information · 1×
Citations per year

Countries citing scholars working at iMinds

Since Specialization
Citations

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

Fields of papers published by authors at iMinds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About iMinds

In recent decades, authors affiliated with iMinds have published 3.3k papers, which have received a total of 86.0k indexed citations . Scholars at this organization have produced 709 papers in Computer Vision and Pattern Recognition, 303 papers in Signal Processing, 16 papers in Computational Mathematics, 599 papers in Computer Networks and Communications and 200 papers in Media Technology on the topics of Cryptographic Implementations and Security (158 papers), Chaos-based Image/Signal Encryption (123 papers), Image and Video Quality Assessment (110 papers), Software-Defined Networks and 5G (110 papers), Context-Aware Activity Recognition Systems (107 papers), Medical Imaging Techniques and Applications (105 papers), Coding theory and cryptography (105 papers) and IoT and Edge/Fog Computing (93 papers). Their work is cited by papers focused on Computational Mathematics (1.3k citations), Computer Vision and Pattern Recognition (15.2k citations), Media Technology (5.5k citations), Signal Processing (6.0k citations) and Computer Networks and Communications (11.9k citations). Authors at iMinds collaborate with scholars in Belgium, Netherlands and United States and have published in prestigious journals including PLoS ONE, Lecture notes in computer science, Multimedia Tools and Applications, Sensors and NeuroImage. Some of iMinds's most productive authors include Jan Sijbers, Filip De Turck, Ingrid Verbauwhede, Tinne Tuytelaars, Tom Dhaene, Jelle Veraart, Kathleen Marchal, Wilfried Philips, Rik Van de Walle and Stefaan Vandenberghe.

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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