S. Longo

4.4k total citations
199 papers, 3.6k citations indexed

About

S. Longo is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, S. Longo has authored 199 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Electrical and Electronic Engineering, 100 papers in Atomic and Molecular Physics, and Optics and 42 papers in Aerospace Engineering. Recurrent topics in S. Longo's work include Plasma Diagnostics and Applications (90 papers), Atomic and Molecular Physics (39 papers) and Gas Dynamics and Kinetic Theory (31 papers). S. Longo is often cited by papers focused on Plasma Diagnostics and Applications (90 papers), Atomic and Molecular Physics (39 papers) and Gas Dynamics and Kinetic Theory (31 papers). S. Longo collaborates with scholars based in Italy, Netherlands and France. S. Longo's co-authors include M. Capitelli, F. Taccogna, P. Diomede, C. Gorse, R. Schneider, Gianpiero Colonna, O. De Pascale, D. Bruno, M. Dell’Aglio and Alessandro De Giacomo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and The Astrophysical Journal.

In The Last Decade

S. Longo

193 papers receiving 3.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
S. Longo	2.0k	1.5k	831	657	598	199	3.6k
C. Gorse	2.1k 1.1×	1.8k 1.2×	705 0.8×	604 0.9×	1.0k 1.7×	120	3.6k
Annarita Laricchiuta	1.2k 0.6×	1.3k 0.9×	481 0.6×	358 0.5×	681 1.1×	93	2.3k
Gianpiero Colonna	1.9k 0.9×	2.0k 1.3×	1.6k 1.9×	909 1.4×	1.3k 2.1×	223	5.2k
Charles H. Krüger	1.5k 0.7×	1.0k 0.7×	665 0.8×	1.2k 1.8×	636 1.1×	54	4.8k
R. Celiberto	1.0k 0.5×	1.3k 0.9×	454 0.5×	314 0.5×	422 0.7×	83	2.0k
M. Cacciatore	960 0.5×	1.2k 0.8×	294 0.4×	222 0.3×	491 0.8×	93	2.2k
A. Garscadden	1.1k 0.6×	855 0.6×	497 0.6×	361 0.5×	384 0.6×	118	2.1k
W. J. Goedheer	1.9k 0.9×	1.2k 0.8×	641 0.8×	205 0.3×	588 1.0×	130	3.2k
Walter Lempert	2.1k 1.0×	504 0.3×	710 0.9×	1.4k 2.1×	1.8k 2.9×	183	4.5k
Leanne C. Pitchford	4.8k 2.4×	1.5k 1.0×	729 0.9×	1.2k 1.8×	3.4k 5.6×	62	6.2k

Countries citing papers authored by S. Longo

Since Specialization

Citations

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

Fields of papers citing papers by S. Longo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Longo. A scholar is included among the top collaborators of S. 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 S. Longo. S. Longo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Longo, S., et al.. (2025). Beyond Homochirality: Computer Modeling Hints of Heterochiral Proteins in Early and Extraterrestrial Life. Astrobiology. 25(1). 22–31.

Longo, S.. (2024). Early applications of Neural Networks to plasma science: Architectures, solutions, and impact.. SHILAP Revista de lepidopterología. 12. 100077–100077.

Longo, S. & S. Longo. (2024). Electric field induced dissociation of a confined hydrogen molecule. Chemical Physics Letters. 856. 141643–141643. 1 indexed citations

Longo, S.. (2024). The spark of life: discharge physics as a key aspect of the Miller–Urey experiment. Frontiers in Physics. 12. 1 indexed citations

Sugawara, Hirotake, et al.. (2024). Particle Propagation and Electron Transport in Gases. SHILAP Revista de lepidopterología. 7(1). 121–145. 3 indexed citations

Longo, S., et al.. (2023). Quantum states of H2+ and H2 in an icosahedral potential well. The European Physical Journal D. 77(2). 7 indexed citations

Tacconi, Stefano, S. Longo, Flora Guerra, et al.. (2023). An aqueous olive leaf extract (OLE) ameliorates parameters of oxidative stress associated with lipid accumulation and induces lipophagy in human hepatic cells. Food & Function. 14(12). 5805–5819. 5 indexed citations

Mancarella, F., et al.. (2022). Kinetics of Thermal Decomposition of Particulate Samples of MgCO3: Experiments and Models. Chemistry. 4(2). 548–559. 10 indexed citations

Longo, S., et al.. (2022). Atmospheric entry of sub-millimetre-sized grains into Mars atmosphere: white soft mineral micrometeoroids. International Journal of Astrobiology. 21(5). 392–404. 1 indexed citations

10.

Coppola, Carla Maria, et al.. (2021). The unbiased diffusion Monte Carlo: a versatile tool for two-electron systems confined in different geometries. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 10 indexed citations

11.

Dijk, Jan van, et al.. (2021). Effect of anisotropic scattering for rotational collisions on electron transport parameters in CO. Plasma Sources Science and Technology. 30(7). 75001–75001. 13 indexed citations

12.

Diomede, P., et al.. (2021). Plasma Modeling and Prebiotic Chemistry: A Review of the State-of-the-Art and Perspectives. Molecules. 26(12). 3663–3663. 8 indexed citations

13.

Longo, S., et al.. (2020). Stochastic models of systems for Nanotechnology: from micro to macro scale. Nanotechnology. 32(14). 145604–145604. 3 indexed citations

14.

Longo, S., et al.. (2019). Benchmark calculations for electron velocity distribution function obtained with Monte Carlo Flux simulations. Plasma Sources Science and Technology. 28(11). 115015–115015. 12 indexed citations

15.

Michau, Armelle, et al.. (2019). Effect of charge fluctuation on nanoparticle heating in dusty plasma. Plasma Sources Science and Technology. 28(3). 03LT03–03LT03. 4 indexed citations

16.

Longo, S., et al.. (2019). Deterministic models of minority neutral particle kinetics close to a catalytic surface, based on the formalism of radiative transfer. Plasma Sources Science and Technology. 28(12). 125008–125008. 1 indexed citations

17.

Coppola, Carla Maria, Daniele Galli, F. Palla, S. Longo, & Jens Chluba. (2013). Non-thermal photons and H2 formation in the early Universe. Monthly Notices of the Royal Astronomical Society. 434(1). 114–122. 24 indexed citations

18.

Capitelli, M., Carla Maria Coppola, P. Diomede, & S. Longo. (2007). An evaluation of the effect of the dissociative attachment of vibrationally excited H₂on primordial universe chemistry. Astronomy and Astrophysics. 470(3). 811–813. 16 indexed citations

19.

Bruno, D., M. Capitelli, Fabrizio Esposito, S. Longo, & P. Minelli. (2002). Direct simulation of non-equilibrium kinetics under shock conditions in nitrogen. Chemical Physics Letters. 360(1-2). 31–37. 44 indexed citations

20.

Dyatko, N. A., et al.. (1998). Negative Electron Mobility in a Decaying Plasma. Plasma Physics Reports. 24(8). 691–699. 8 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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