Luca Martino

4.2k total citations
107 papers, 2.1k citations indexed

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 107 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 41 papers in Statistics and Probability and 11 papers in Control and Systems Engineering. Recurrent topics in Luca Martino's work include Bayesian Methods and Mixture Models (27 papers), Gaussian Processes and Bayesian Inference (26 papers) and Target Tracking and Data Fusion in Sensor Networks (23 papers). Luca Martino is often cited by papers focused on Bayesian Methods and Mixture Models (27 papers), Gaussian Processes and Bayesian Inference (26 papers) and Target Tracking and Data Fusion in Sensor Networks (23 papers). Luca Martino collaborates with scholars based in Spain, Finland and United States. Luca Martino's co-authors include V́ıctor Elvira, David Luengo, Jesse Read, Mónica F. Bugallo, Francisco Louzada, Joaquı́n Mı́guez, Jukka Corander, Gustau Camps‐Valls, Petar M. Djurić and Jochem Verrelst and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Luca Martino

99 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luca Martino Spain 28 1.0k 463 236 201 180 107 2.1k
J. S. Marron United States 26 653 0.6× 1.1k 2.5× 219 0.9× 72 0.4× 251 1.4× 77 2.8k
Anatoly Zhigljavsky United Kingdom 22 463 0.5× 234 0.5× 160 0.7× 61 0.3× 283 1.6× 109 3.5k
Ashok N. Srivastava United States 22 1.1k 1.1× 125 0.3× 185 0.8× 87 0.4× 293 1.6× 72 2.2k
Hugh Chipman Canada 22 801 0.8× 712 1.5× 279 1.2× 62 0.3× 125 0.7× 48 2.5k
Rong Chen United States 22 1.1k 1.1× 729 1.6× 136 0.6× 35 0.2× 390 2.2× 76 3.3k
Yuanxi Yang China 36 1.0k 1.0× 284 0.6× 189 0.8× 41 0.2× 192 1.1× 184 5.1k
David Luengo Spain 21 702 0.7× 287 0.6× 163 0.7× 42 0.2× 133 0.7× 85 1.4k
Ery Arias-Castro United States 19 541 0.5× 317 0.7× 60 0.3× 121 0.6× 57 0.3× 60 1.5k
Nicolas Vayatis France 19 675 0.7× 277 0.6× 103 0.4× 33 0.2× 172 1.0× 88 2.0k
V́ıctor Elvira Spain 22 792 0.8× 358 0.8× 200 0.8× 30 0.1× 190 1.1× 94 1.6k

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).

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.

Co-authorship network of co-authors of Luca Martino

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Martino. A scholar is included among the top collaborators of Luca Martino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luca Martino. Luca Martino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gómez, José, María Luisa Maestro de las Casas, María Luisa Gutiérrez García, et al.. (2025). Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples. Frontiers in Medicine. 12. 1596476–1596476.
2.
Martino, Luca, et al.. (2024). An index of effective number of variables for uncertainty and reliability analysis in model selection problems. Signal Processing. 227. 109735–109735.
3.
Martino, Luca, et al.. (2024). Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals. Journal of the Franklin Institute. 362(2). 107441–107441. 1 indexed citations
4.
Vicent, Jorge, Luca Martino, Jochem Verrelst, Juan Pablo Rivera, & Gustau Camps‐Valls. (2024). Multioutput Feature Selection for Emulation and Sensitivity Analysis. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 3 indexed citations
5.
6.
Morgado, Eduardo, et al.. (2023). Universal and automatic elbow detection for learning the effective number of components in model selection problems. Digital Signal Processing. 140. 104103–104103. 9 indexed citations
7.
Laneve, Giovanni, et al.. (2023). Assessing the Impact of Landfills on Surrounding Vegetation: A Remote Sensing Analysis with Sentinel-2 and Landsat 8. SHILAP Revista de lepidopterología. 21–21. 1 indexed citations
8.
Vicent, Jorge, Luca Martino, Jochem Verrelst, & Gustau Camps‐Valls. (2023). Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–10. 5 indexed citations
9.
Martino, Luca, et al.. (2023). Spectral information criterion for automatic elbow detection. Expert Systems with Applications. 231. 120705–120705. 8 indexed citations
10.
11.
Martino, Luca, et al.. (2022). An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2460–2474. 9 indexed citations
12.
Delgado‐Gómez, David, et al.. (2020). Improving the Teaching of Hypothesis Testing Using a Divide-and-Conquer Strategy and Content Exposure Control in a Gamified Environment. Mathematics. 8(12). 2244–2244. 11 indexed citations
13.
Vicent, Jorge, Jochem Verrelst, Neus Sabater, et al.. (2020). Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0). Geoscientific model development. 13(4). 1945–1957. 29 indexed citations
14.
15.
Martino, Luca & V́ıctor Elvira. (2020). Compressed Monte Carlo with application in particle filtering. Information Sciences. 553. 331–352. 31 indexed citations
16.
Vicent, Jorge, Luis Alonso, Luca Martino, et al.. (2018). Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models. IEEE Transactions on Geoscience and Remote Sensing. 57(2). 1040–1048. 19 indexed citations
17.
Louzada, Francisco, Scotland Leman, Andrew Hoegh, et al.. (2016). Contributed Discussion on Article by Pratola. Bayesian Analysis. 11(3).
18.
Miscusi, Massimo, Paolo Arangio, Luca Martino, et al.. (2013). An unusual case of orbito-frontal rod fence stab injury with a good outcome. BMC Surgery. 13(1). 31–31. 9 indexed citations
19.
Read, Jesse, Luca Martino, & David Luengo. (2012). Efficient Monte Carlo Optimization for Multi-dimensional Classifier Chains. arXiv (Cornell University). 2 indexed citations
20.
Martino, Luca, et al.. (2009). A multi-model particle filtering algorithm for indoor tracking of mobile terminals using RSS data. 1702–1707. 5 indexed citations

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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