Luca Martino

103 papers and 2.0k indexed citations i.

About

Luca Martino is a scholar working on Artificial Intelligence, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Luca Martino has authored 103 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 43 papers in Statistics and Probability and 8 papers in Control and Systems Engineering. Recurrent topics in Luca Martino’s work include Bayesian Methods and Mixture Models (31 papers), Gaussian Processes and Bayesian Inference (28 papers) and Target Tracking and Data Fusion in Sensor Networks (25 papers). Luca Martino is often cited by papers focused on Bayesian Methods and Mixture Models (31 papers), Gaussian Processes and Bayesian Inference (28 papers) and Target Tracking and Data Fusion in Sensor Networks (25 papers). Luca Martino collaborates with scholars based in Spain, France and Finland. Luca Martino's co-authors include Vı́ctor Elvira, David Luengo, Jesse Read, Mónica F. Bugallo, Francisco Louzada, Gustau Camps‐Valls, Joaquı́n Mı́guez, Jukka Corander, Petar M. Djurić and David Delgado‐Gómez and has published in prestigious journals such as PEDIATRICS, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Luca Martino i

Fields of papers citing papers by Luca Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Martino. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luca Martino. The network helps show where Luca Martino may publish in the future.

Countries citing papers authored by Luca Martino

Since Specialization
Citations

This map shows the geographic impact of Luca Martino's research. 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 Luca Martino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Martino 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025