G. Longo

11.2k total citations
277 papers, 4.0k citations indexed

About

G. Longo is a scholar working on Astronomy and Astrophysics, Instrumentation and Artificial Intelligence. According to data from OpenAlex, G. Longo has authored 277 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Astronomy and Astrophysics, 62 papers in Instrumentation and 44 papers in Artificial Intelligence. Recurrent topics in G. Longo's work include Galaxies: Formation, Evolution, Phenomena (74 papers), Astronomy and Astrophysical Research (62 papers) and Stellar, planetary, and galactic studies (37 papers). G. Longo is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (74 papers), Astronomy and Astrophysical Research (62 papers) and Stellar, planetary, and galactic studies (37 papers). G. Longo collaborates with scholars based in Italy, United States and France. G. Longo's co-authors include M. Brescia, S. Cavuoti, Maël Montévil, F. Saporetti, Kim B. Bruce, Roberto Tagliaferri, M. Sereno, E. De Filippis, M. Paolillo and Andrea Asperti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Bioinformatics.

In The Last Decade

G. Longo

253 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Longo Italy 33 1.8k 781 615 602 447 277 4.0k
Piet Hut United States 41 5.8k 3.2× 422 0.5× 1.2k 2.0× 790 1.3× 136 0.3× 138 8.2k
Brian Granger United States 17 1.3k 0.7× 332 0.4× 392 0.6× 251 0.4× 64 0.1× 30 3.8k
Fernando Pérez Spain 14 1.3k 0.7× 299 0.4× 395 0.6× 239 0.4× 62 0.1× 60 3.8k
John Skilling United Kingdom 27 2.0k 1.1× 612 0.8× 208 0.3× 1.3k 2.2× 74 0.2× 75 5.8k
Salman Habib United States 38 2.2k 1.2× 1.2k 1.5× 451 0.7× 1.1k 1.9× 83 0.2× 134 4.7k
Junichiro Makino Japan 43 4.9k 2.7× 377 0.5× 1.2k 1.9× 545 0.9× 88 0.2× 250 6.6k
Alexander Gray United States 25 621 0.3× 1.0k 1.3× 204 0.3× 168 0.3× 82 0.2× 102 2.7k
Jean‐Luc Starck France 44 3.0k 1.6× 752 1.0× 1.0k 1.6× 652 1.1× 119 0.3× 244 12.9k
G. Jogesh Babu United States 29 1.4k 0.8× 447 0.6× 309 0.5× 294 0.5× 44 0.1× 105 3.5k
A. Lasenby United Kingdom 42 7.7k 4.2× 318 0.4× 674 1.1× 4.0k 6.7× 100 0.2× 239 9.2k

Countries citing papers authored by G. Longo

Since Specialization
Citations

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

Fields of papers citing papers by G. Longo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Longo. 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. Longo. The network helps show where G. Longo may publish in the future.

Co-authorship network of co-authors of G. Longo

This figure shows the co-authorship network connecting the top 25 collaborators of G. Longo. A scholar is included among the top collaborators of G. Longo 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. Longo. G. Longo 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.
Napolitano, N. R., S. Borgani, Xiao-Dong Li, et al.. (2024). Cosmology with galaxy cluster properties using machine learning. Astronomy and Astrophysics. 687. A1–A1. 4 indexed citations
2.
Siciliano, Roberta, et al.. (2024). Portability rules detection by Epilepsy Tracking META-Set Analysis. SHILAP Revista de lepidopterología. 4(3). 100168–100168. 2 indexed citations
3.
4.
Ripepi, V., M. Bellazzini, C. Tortora, et al.. (2022). Discovery of NES, an Extended Tidal Structure in the Northeast of the Large Magellanic Cloud. The Astrophysical Journal. 931(1). 19–19. 3 indexed citations
5.
Ripepi, V., M. Bellazzini, M. Tosi, et al.. (2021). YMCA-1: A New Remote Star Cluster of the Milky Way?*. Research Notes of the AAS. 5(7). 159–159. 5 indexed citations
6.
Ripepi, V., M. Bellazzini, M. Tosi, et al.. (2021). STEP survey – II. Structural analysis of 170 star clusters in the SMC. Monthly Notices of the Royal Astronomical Society. 507(3). 3312–3330. 15 indexed citations
7.
Napolitano, N. R., Chiara Spiniello, Michele Cantiello, et al.. (2021). The Fornax Cluster VLT Spectroscopic Survey. Astronomy and Astrophysics. 657. A94–A94. 6 indexed citations
8.
Montévil, Maël, Bernard Stiegler, G. Longo, et al.. (2020). Bifurquer: Il n'y a pas d'alternative. Sussex Research Online (University of Sussex). 9 indexed citations
9.
Poulain, Mélina, M. Paolillo, D. De Cicco, et al.. (2020). Extending the variability selection of active galactic nuclei in the W-CDF-S and SERVS/SWIRE region. Springer Link (Chiba Institute of Technology). 7 indexed citations
10.
Ripepi, V., M. Bellazzini, M. Cignoni, et al.. (2020). A search for star clusters in the outskirts of the Large Magellanic Cloud: indication of clusters in the age gap. Monthly Notices of the Royal Astronomical Society. 499(3). 4114–4139. 14 indexed citations
11.
Angora, G., M. Brescia, S. Cavuoti, et al.. (2019). Astroinformatics-based search for globular clusters in the Fornax Deep Survey. Monthly Notices of the Royal Astronomical Society. 490(3). 4080–4106. 4 indexed citations
12.
Longo, G., M. Brescia, & S. Cavuoti. (2017). The Astronomical Data Deluge: the Template Case of Photometric Redshifts.. 27–29. 2 indexed citations
13.
Masters, Daniel, P. Capak, Daniel Stern, et al.. (2015). MAPPING THE GALAXY COLOR–REDSHIFT RELATION: OPTIMAL PHOTOMETRIC REDSHIFT CALIBRATION STRATEGIES FOR COSMOLOGY SURVEYS. The Astrophysical Journal. 813(1). 53–53. 91 indexed citations
14.
Brescia, M., S. Cavuoti, G. Longo, & Virgilio De Stefano. (2014). A catalogue of photometric redshifts for the SDSS-DR9 galaxies. Springer Link (Chiba Institute of Technology). 51 indexed citations
15.
Cavuoti, S., M. Brescia, G. Longo, & A. Mercurio. (2012). Photometric redshifts with the quasi Newton algorithm (MLPQNA) Results in the PHAT1 contest. Springer Link (Chiba Institute of Technology). 30 indexed citations
16.
Sazhin, M. V., et al.. (2010). Gravitational Lens Images Generated by Cosmic Strings. 3(1). 200–206. 4 indexed citations
17.
Sazhin, M. V., M. Capaccioli, G. Longo, et al.. (2007). Gravitational lensing by cosmic strings: what we learn from the CSL-1 case. Monthly Notices of the Royal Astronomical Society. 376(4). 1731–1739. 55 indexed citations
18.
Ciaramella, Angelo, H. D. Aller, M. F. Aller, et al.. (2004). A multifrequency analysis of radio variability of blazars. Springer Link (Chiba Institute of Technology). 51 indexed citations
19.
Jopek, T. J., et al.. (2002). A main belt asteroid: the most probable cause of the Tunguska event. Repozytorium Uniwersytetu im. Adama Mickiewicza (Adam Mickiewicz University in Poznań). 73(3). 679.
20.
Tagliaferri, Roberto, Angelo Ciaramella, L. Milano, F. Barone, & G. Longo. (1999). Spectral analysis of stellar light curves by means of neural networks. Springer Link (Chiba Institute of Technology). 16 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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