iMinds

1.7k papers and 40.6k indexed citations i.

About

In recent decades, authors affiliated with iMinds have published 1.7k papers, which have received a total of 40.6k indexed citations. Scholars at this organization have produced 306 papers in Computer Vision and Pattern Recognition, 300 papers in Computer Networks and Communications and 256 papers in Electrical and Electronic Engineering on the topics of Medical Imaging Techniques and Applications (79 papers), Software-Defined Networks and 5G (66 papers) and Advanced MRI Techniques and Applications (64 papers). Their work is cited by papers focused on Radiology, Nuclear Medicine and Imaging (6.6k citations), Computer Vision and Pattern Recognition (5.6k citations) and Electrical and Electronic Engineering (4.9k citations). Authors at iMinds collaborate with scholars in Belgium, The Netherlands and United Kingdom and have published in prestigious journals including Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation. Some of iMinds's most productive authors include Jan Sijbers, Jelle Veraart, Filip De Turck, Els Fieremans, Dmitry S. Novikov, Tinne Tuytelaars, Tom Dhaene, Sabine Van Huffel, Ben Jeurissen and Pieter Ballon.

In The Last Decade

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.

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).

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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2025