S. Lombardi

18.8k total citations
108 papers, 2.4k citations indexed

About

S. Lombardi is a scholar working on Nuclear and High Energy Physics, Environmental Engineering and Geophysics. According to data from OpenAlex, S. Lombardi has authored 108 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Nuclear and High Energy Physics, 28 papers in Environmental Engineering and 25 papers in Geophysics. Recurrent topics in S. Lombardi's work include Astrophysics and Cosmic Phenomena (35 papers), Particle Detector Development and Performance (25 papers) and CO2 Sequestration and Geologic Interactions (25 papers). S. Lombardi is often cited by papers focused on Astrophysics and Cosmic Phenomena (35 papers), Particle Detector Development and Performance (25 papers) and CO2 Sequestration and Geologic Interactions (25 papers). S. Lombardi collaborates with scholars based in Italy, United Kingdom and Spain. S. Lombardi's co-authors include Giancarlo Ciotoli, S.E. Beaubien, A. Annunziatellis, Giuseppe Etiope, M. Guerra, Sabina Bigi, N. Voltattorni, Ramkumar Menon, Stephen J. Fortunato and R.K. O’Nions and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geochimica et Cosmochimica Acta and Geophysical Research Letters.

In The Last Decade

S. Lombardi

104 papers receiving 2.2k citations

Peers

S. Lombardi
Giancarlo Ciotoli Italy
Giovanni Martinelli Italy
S.E. Beaubien Italy
Nemesio M. Pérez Spain
Pedro A. Hernández Spain
Francesco Italiano Italy
Jean‐Claude Baubron France
M.L. Sorey United States
Nick Varley Mexico
Heather Lowers United States
Giancarlo Ciotoli Italy
S. Lombardi
Citations per year, relative to S. Lombardi S. Lombardi (= 1×) peers Giancarlo Ciotoli

Countries citing papers authored by S. Lombardi

Since Specialization
Citations

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

Fields of papers citing papers by S. Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Lombardi

This figure shows the co-authorship network connecting the top 25 collaborators of S. Lombardi. A scholar is included among the top collaborators of S. Lombardi 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 S. Lombardi. S. Lombardi 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.
Parola, V. La, G. Cusumano, S. Lombardi, et al.. (2025). Machine Learning-Enhanced Discrimination of Gamma-Ray and Hadron Events Using Temporal Features: An ASTRI Mini-Array Analysis. Applied Sciences. 15(7). 3879–3879.
2.
Giuliani, A., et al.. (2023). Status of the ASTRI program: technology and science with wide-field aplanatic IACT telescopes. Proceedings Of Science. 892–892. 2 indexed citations
3.
Pintore, Fabio, S. Lombardi, A. Giuliani, et al.. (2023). Generation of Instrument Response Functions and Event-lists of data-level 3 for the ASTRI Mini-Array. Proceedings Of Science. 722–722. 1 indexed citations
4.
Saturni, Francesco Gabriele, S. Lombardi, L. A. Antonelli, et al.. (2023). Performance of the ASTRI Mini-Array with different levels of the Night Sky Background. Proceedings Of Science. 717–717. 2 indexed citations
5.
Saturni, Francesco Gabriele, C. Bigongiari, L. A. Antonelli, et al.. (2023). The ASTRI Mini-Array Simulation System. Proceedings Of Science. 719–719. 1 indexed citations
6.
Ninci, D., Tomohiro Inada, J. Rico, et al.. (2019). Searching for Dark Matter decay signals in the Galactic halo with the MAGIC telescopes. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 538–538. 1 indexed citations
7.
Lombardi, S., C. Bigongiari, S. Gallozzi, et al.. (2017). ASTRI SST-2M prototype and mini-array simulation chain, data reduction software, and archive in the framework of the Cherenkov Telescope Array. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 804–804. 1 indexed citations
8.
Góra, D., M. Manganaro, E. Bernardini, et al.. (2017). Sensitivity for tau neutrinos at PeV energies and beyond with the MAGIC telescopes. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 992–992. 1 indexed citations
9.
Zanin, R., E. Carmona, J. Sitarek, et al.. (2013). MARS, The MAGIC Analysis and Reconstruction Software. International Cosmic Ray Conference. 33. 2937. 13 indexed citations
10.
Sitarek, J., E. Carmona, P. Colin, et al.. (2013). Physics performance of the upgraded MAGIC telescopes obtained with Crab Nebula data. International Cosmic Ray Conference. 33. 1116. 3 indexed citations
11.
Carmona, E., P. Colin, S. Klepser, et al.. (2011). Performance of the MAGIC Stereo System. International Cosmic Ray Conference. 9. 26. 1 indexed citations
12.
Nieto, D., J. Aleksić, J. A. Barrio, et al.. (2011). The search for galactic dark matter clump candidates with Fermi and MAGIC. International Cosmic Ray Conference. 5. 153. 1 indexed citations
13.
Beaubien, S.E., A. Annunziatellis, Giancarlo Ciotoli, & S. Lombardi. (2009). Near Surface Gas Simulator (NSGS): A Visual Basic program to improve the design of near-surface gas geochemistry surveys above CO2 geological storage sites. IRIS Research product catalog (Sapienza University of Rome). 12489. 1 indexed citations
14.
Moralejo, A., M. Gaug, E. Carmona, et al.. (2009). MARS: The MAGIC Analysis and Reconstruction Software. RWTH Publications (RWTH Aachen). 3 indexed citations
15.
Pettinelli, Elena, S.E. Beaubien, S. Lombardi, & A. P. Annan. (2008). GPR, TDR and geochemistry for the characterization of an active gas vent: development of monitoring strategies for CO2 geological sequestration sites. Geophysics. 73(1). 16 indexed citations
16.
Lombardi, S., Л. К. Алтунина, & S.E. Beaubien. (2006). Advances in the geological storage of carbon dioxide : international approaches to reduce anthropogenic greenhouse gas emissions. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 18 indexed citations
17.
Pettinelli, Elena, et al.. (2004). GPR and EM31 investigations on an active CO/sub 2/ gas vent. 563–566. 8 indexed citations
18.
Quattrocchi, F., M. Guerra, L. Pizzino, & S. Lombardi. (1999). Radon and helium as pathfinders of fault systems and groundwater evolution in different Italian areas. CNR SOLAR (Scientific Open-access Literature Archive and Repository) (University of Southampton). 22(304). 309–316. 18 indexed citations
19.
Ciotoli, Giancarlo, et al.. (1999). The behavior of rare soil gases in a seismically active area: the Fucino basin (central Italy). CNR Solar (Scientific Open-access Literature Archive and Repository) (Consiglio Nazionale delle Ricerche). 22(304). 567–575. 2 indexed citations
20.
Fortunato, Stephen J., Ramkumar Menon, & S. Lombardi. (1999). MMP/TIMP imbalance in amniotic fluid during PROM: an indirect support for endogenous pathway to membrane rupture. Journal of Perinatal Medicine. 27(5). 362–8. 111 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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