The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Robert Sabourin sits on this spectrum.
This scientist: 456 publications — 91st percentile
91% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Robert Sabourin sits on this spectrum.
This scientist: 69 D-Index — 87th percentile
87% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Robert Sabourin is affiliated with the École de Technologie Supérieure in Canada and primarily works in the field of Computer Science, with a significant focus on Artificial Intelligence. Their research spans various subfields including Computer Vision and Pattern Recognition, Signal Processing, Media Technology, and Computational Theory and Mathematics.
The main topics addressed in their work include Handwritten Text Recognition Techniques, Machine Learning and Data Classification, Data Stream Mining Techniques, Imbalanced Data Classification Techniques, Domain Adaptation and Few-Shot Learning, Face and Expression Recognition, and Natural Language Processing Techniques.
Sabourin's recent publications demonstrate diverse research interests, particularly in pattern recognition, dynamic classification, and ensemble methods. Notable recent papers include:
Their study has appeared frequently in various venues, with the most publications found in arXiv (Cornell University), Information Fusion, and Expert Systems with Applications. They have also contributed several papers to the International Joint Conference on Neural Networks (IJCNN) and the International Journal of Artificial Intelligence Tools.
Throughout their career, Sabourin has collaborated extensively with a range of co-authors, including Rafael M. O. Cruz, Victor L. F. Souza, Adriano L. I. Oliveira, Alceu S. Britto, and George D. C. Cavalcanti. These collaborations reflect connections within key research areas of machine learning and pattern recognition.
Albert H. R. Ko;Robert Sabourin;Alceu Souza Britto
Rafael M.O. Cruz;Robert Sabourin;George D.C. Cavalcanti
Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira
Alceu S. Britto;Alceu S. Britto;Robert Sabourin;Luiz E. S. Oliveira
Jonathan Milgram;Mohamed Cheriet;Robert Sabourin
L.S. Oliveira;R. Sabourin;F. Bortolozzi;C.Y. Suen
Edson J. R. Justino;Flávio Bortolozzi;Robert Sabourin
E.J.R. Justino;F. Bortolozzi;R. Sabourin
A. El-Yacoubi;M. Gilloux;R. Sabourin;C.Y. Suen
A. L. Koerich;R. Sabourin;C. Y. Suen
Nabil Nassif;Stanislaw Kajl;Robert Sabourin
D. Bertolini;L. S. Oliveira;E. Justino;R. Sabourin
Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira
Jerome Rony;Luiz G. Hafemann;Luiz S. Oliveira;Ismail Ben Ayed
Rafael M.O. Cruz;Robert Sabourin;George D.C. Cavalcanti;Tsang Ing Ren
R. Sabourin;G. Genest;F.J. Preteux
Luiz E. Soares de Oliveira;Robert Sabourin;Flávio Bortolozzi;Ching Y. Suen
D. Bertolini;L.S. Oliveira;E. Justino;R. Sabourin
Eulanda M. Dos Santos;Robert Sabourin;Patrick Maupin
Jean-Pierre Drouhard;Robert Sabourin;Mario Godbout
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