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 Luca Martino sits on this spectrum.
This scientist: 185 publications — 41st percentile
41% 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 Luca Martino sits on this spectrum.
This scientist: 34 D-Index — 16th percentile
16% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Luca Martino is affiliated with King Juan Carlos University in Spain and has contributed extensively to the field of computer science, focusing on areas such as artificial intelligence and statistics and probability. Their research spans across related subfields including statistics, probability and uncertainty, signal processing, and global and planetary change.
The scientist's work particularly emphasizes topics such as Gaussian processes and Bayesian inference, probabilistic and robust engineering design, and target tracking and data fusion in sensor networks. Additional research interests include Bayesian methods and mixture models, statistical methods and inference, Markov chains and Monte Carlo methods, as well as statistical methods and Bayesian inference.
Martino has published multiple research papers across various scientific venues. Some of their recent works include:
The scientist frequently collaborates with other researchers, including Fernando Llorente, David Delgado-Gómez, Víctor Elvira, Ernesto Curbelo, and Gustau Camps-Valls. These collaborations have resulted in numerous coauthored publications.
Luca Martino's research is published predominantly in venues such as arXiv (Cornell University), Mathematics, IEEE Transactions on Geoscience and Remote Sensing, Computational Statistics, and SSRN Electronic Journal. Their work reflects a broad engagement with both theoretical and applied aspects of computer science, with a focus on statistical and probabilistic methodologies.
Cristiano Calcagno;Dino Distefano;Jérémy Dubreil;Dominik Gabi
Monica F. Bugallo;Victor Elvira;Luca Martino;David Luengo
Luca Martino;Víctor Elvira;Francisco Louzada
David Luengo;Luca Martino;Luca Martino;Mónica F. Bugallo;Victor Elvira
Luca Martino;Jesse Read;Jesse Read;Víctor Elvira;Francisco Louzada
Jesse Read;Luca Martino;David Luengo
Luca Martino;Jesse Read;David Luengo
Víctor Elvira;Luca Martino;David Luengo;Mónica F. Bugallo
Víctor Elvira;Luca Martino;David Luengo;Mónica F. Bugallo
Katja Berger;Juan Pablo Rivera Caicedo;Luca Martino;Matthias Wocher
Luca Martino;Victor Elvira;David Luengo;Jukka Corander
L. Martino;V. Elvira;D. Luengo;J. Corander
Jesse Read;Luca Martino;Pablo M. Olmos;David Luengo
Gustau Camps-Valls;Luca Martino;Daniel H. Svendsen;Manuel Campos-Taberner
Luca Martino;Víctor Elvira;David Luengo;Jukka Corander
Víctor Elvira;Luca Martino;David Luengo;Mónica F. Bugallo
Fernando Llorente;Luca Martino;David Delgado;Javier López-Santiago
Mónica F. Bugallo;Luca Martino;Jukka Corander
Luca Martino;Luca Martino
F. Llorente;L. Martino;D. Delgado;J. Lopez-Santiago
Victor Elvira;Luca Martino;David Luengo;Monica F. Bugallo
Luca Martino;Luca Martino;Víctor Elvira;Gustau Camps-Valls
Luca Martino;Jesse Read
Víctor Elvira;Luca Martino
L. Martino;V. Elvira;D. Luengo;J. Corander
Luca Martino;David Luengo;F. Bugallo
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