G. Riccio
About
In The Last Decade
G. Riccio
15 papers receiving 146 citations
Peers
Comparison fields: 5 of 57
- Astronomy and Astrophysics 106
- Instrumentation 39
- Ecology 23
- Artificial Intelligence 20
- Computational Mechanics 19
Countries citing papers authored by G. Riccio
This map shows the geographic impact of G. Riccio'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 G. Riccio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Riccio more than expected).
Fields of papers citing papers by G. Riccio
This network shows the impact of papers produced by G. Riccio. 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 G. Riccio. The network helps show where G. Riccio may publish in the future.
Co-authorship network of co-authors of G. Riccio
This figure shows the co-authorship network connecting the top 25 collaborators of G. Riccio. A scholar is included among the top collaborators of G. Riccio 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 G. Riccio. G. Riccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | The evolutionary path of star-forming clumps in Hi-GAL | Astronomy and Computing | Y. Maruccia, S. Cavuoti et al. | 0 |
| 2 | An Introduction to Machine Learning Methods for Fraud Detection | Applied Sciences | Y. Maruccia, S. Cavuoti et al. | 1 |
| 3 | Navigating AGN variability with self-organizing maps | Astronomy and Astrophysics | Y. Maruccia, D. De Cicco et al. | 0 |
| 4 | Indirect Measurement of Shooting Distance by Active Thermography | SHILAP Revista de lepidopterología | Nicola Paone, Giuseppe Pandarese et al. | 0 |
| 5 | Active Thermography for Gunshot Residue (GSR) Pattern Estimation on Textiles | Università Politecnica delle Marche (Università Politecnica delle Marche) | Nicola Paone, Giuseppe Pandarese et al. | 3 |
| 6 | Supervised machine learning on Galactic filaments | Astronomy and Astrophysics | A. Zavagno, François-Xavier Dupé et al. | 13 |
| 7 | Photometric Redshifts With Machine Learning, Lights and Shadows on a Complex Data Science Use Case | Frontiers in Astronomy and Space Sciences | M. Brescia, S. Cavuoti et al. | 20 |
| 8 | Improving the reliability of photometric redshift with machine learning | Monthly Notices of the Royal Astronomical Society | S. Cavuoti, M. Brescia et al. | 18 |
| 9 | Astroinformatics-based search for globular clusters in the Fornax Deep Survey | Monthly Notices of the Royal Astronomical Society | G. Angora, M. Brescia et al. | 4 |
| 10 | Photometric redshifts for X-ray-selected active galactic nuclei in the eROSITA era | Monthly Notices of the Royal Astronomical Society | M. Brescia, M. Salvato et al. | 15 |
| 11 | Star formation rates for photometric samples of galaxies using machine learning methods | Monthly Notices of the Royal Astronomical Society | S. Cavuoti, M. Brescia et al. | 17 |
| 12 | The astronomical data deluge and the template case of photometric redshifts | arXiv (Cornell University) | M. Brescia, S. Cavuoti et al. | 3 |
| 13 | Vialactea Visual Analytics Tool for Star Formation Studies of the Galactic Plane | Publications of the Astronomical Society of the Pacific | Fabio Vitello, Eva Sciacca et al. | 3 |
| 14 | VIALACTEA science gateway for Milky Way analysis | Future Generation Computer Systems | Eva Sciacca, Fabio Vitello et al. | 2 |
| 15 | An analysis of feature relevance in the classification of astronomical transients with machine learning methods | Monthly Notices of the Royal Astronomical Society | S. Cavuoti, M. Brescia et al. | 32 |
| 16 | Integrated data access, visualization and analysis for Galactic Plane surveys: the VIALACTEA case | Proceedings of the International Astronomical Union | S. Molinari, S. Cavuoti et al. | 1 |
| 17 | Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation | Computational and Mathematical Methods in Medicine | Sabina Tangaro, Nicola Amoroso et al. | 24 |
| 18 | Gravitational Lens Images Generated by Cosmic Strings | M. V. Sazhin, Massimo Capaccioli et al. | 4 |
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.