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 Mateu Sbert sits on this spectrum.
This scientist: 304 publications — 75th percentile
75% 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 Mateu Sbert sits on this spectrum.
This scientist: 32 D-Index — 10th percentile
10% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Mateu Sbert is a researcher affiliated with the University of Girona in Spain. Their work primarily spans the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Statistics and Probability, Artificial Intelligence, Statistical and Nonlinear Physics, and Management Science and Operations Research.
The main topics covered in their research involve Data Visualization and Analytics, Statistical Mechanics and Entropy, Image Retrieval and Classification Techniques, Visual Attention and Saliency Detection, Probabilistic and Robust Engineering Design, Markov Chains and Monte Carlo Methods, and Probability and Risk Models.
Mateu Sbert has contributed to multiple scientific publications, with key recent papers including:
Other works appearing alongside frequent coauthors, though not authored by Sbert, include papers by Min Chen published in Entropy exploring measures for estimating the benefit of visualization.
Frequent collaborators of Mateu Sbert include:
Mateu Sbert's research has been predominantly disseminated through publication venues such as:
Their contributions to Computer Vision and related statistical methods have been cited across various articles, reflecting an active engagement in topics related to entropy, visualization techniques, and importance sampling.
Pere-Pau Vázquez;Miquel Feixas;Mateu Sbert;Wolfgang Heidrich
Voravika Wattanasoontorn;Imma Boada;Rubén Jesús García;Mateu Sbert
I. Viola;M. Feixas;M. Sbert;M.E. Groller
Codruta O. Ancuti;Cosmin Ancuti;Mateu Sbert;Radu Timofte
Pere-Pau Vázquez;Miquel Feixas;Mateu Sbert;Wolfgang Heidrich
Miquel Feixas;Mateu Sbert;Francisco González
J. Rigau;M. Feixas;M. Sbert
Codruta O. Ancuti;Cosmin Ancuti;Christophe De Vleeschouwer;Mateu Sbert
Imma Boada;Antonio Rodriguez-Benitez;Juan Manuel Garcia-Gonzalez;Josep Olivet
A. Iones;A. Krupkin;M. Sbert;S. Zhukov
M. Ruiz;A. Bardera;I. Boada;I. Viola
Miquel Feixas;Esteve del Acebo;Philippe Bekaert;Mateu Sbert
Mateu Sbert;Dimitri Plemenos;Miquel Feixas;Francisco González
Christian Wallraven;Roland Fleming;Douglas Cunningham;Jaume Rigau
R. Bramon;I. Boada;A. Bardera;J. Rodriguez
Mateu Sbert
A. Bardera;J. Rigau;I. Boada;M. Feixas
J. Rigau;M. Feixas;M. Sbert
Philippe Bekaert;László Neumann;Attila Neumann;Mateu Sbert
Jaume Rigau;Miquel Feixas;Mateu Sbert
Jaume Rigau;Miquel Feixas;Mateu Sbert;Anton Bardera
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 7
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