G. Salina
Impact in
- Nuclear and High Energy Physics top 10%
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Particle physics theoretical and experimental studies 10
- Quantum Chromodynamics and Particle Interactions 10
- High-Energy Particle Collisions Research 7
- Particle Detector Development and Performance 4
-
- Physics of Superconductivity and Magnetism 6
- Co-authors
- D. BadoniStefano FusiElisabetta ChiccaVittorio DantePaolo Del GiudiceRodolfo NegriGiovanna CostanzoErnesto Di Mauro
- Journals
- Nuclear Physics B (4 papers)Physics Letters B (4 papers)Journal of Instrumentation (3 papers)Applied Physics Letters (2 papers)Network Computation in Neural Systems (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
G. Salina
41 papers receiving 518 citations
Peers
Comparison fields: 5 of 60
- Nuclear and High Energy Physics 163
- Cognitive Neuroscience 131
- Condensed Matter Physics 77
- Cellular and Molecular Neuroscience 103
- Statistical and Nonlinear Physics 44
Countries citing papers authored by G. Salina
This map shows the geographic impact of G. Salina'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. Salina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Salina more than expected).
Fields of papers citing papers by G. Salina
This network shows the impact of papers produced by G. Salina. 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. Salina. The network helps show where G. Salina may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Salina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 5 | |
| 6 | 2018 | 12 | |
| 7 | 2016 | 3 | |
| 8 | 2015 | 9 | |
| 9 | 2014 | 3 | |
| 10 | 2011 | 4 | |
| 11 | 2011 | 4 | |
| 12 | 2003 | 157 | |
| 13 | 1998 | 3 | |
| 14 | 1995 | 4 | |
| 15 | 1994 | 2 | |
| 16 | 1991 | 55 | |
| 17 | 1991 | 2 | |
| 18 | 1990 | 54 | |
| 19 | 1990 | 7 | |
| 20 | 1990 | 28 |
About G. Salina
G. Salina is a scholar working on Nuclear and High Energy Physics, Condensed Matter Physics, Statistical and Nonlinear Physics, Hardware and Architecture and Statistics and Probability, having authored 42 papers that have together received 535 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (10 papers), Quantum Chromodynamics and Particle Interactions (10 papers), High-Energy Particle Collisions Research (7 papers), Quantum and electron transport phenomena (7 papers), Physics of Superconductivity and Magnetism (6 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Neural dynamics and brain function (4 papers) and Particle Detector Development and Performance (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (163 citations), Cognitive Neuroscience (131 citations), Condensed Matter Physics (77 citations), Cellular and Molecular Neuroscience (103 citations) and Statistical and Nonlinear Physics (44 citations). G. Salina has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include D. Badoni, Stefano Fusi, Elisabetta Chicca, Vittorio Dante, Paolo Del Giudice, Rodolfo Negri, Giovanna Costanzo, Ernesto Di Mauro, F. Rapuano and S. Cabasino. Their work appears in journals such as Nuclear Physics B, Physics Letters B, Journal of Instrumentation, Applied Physics Letters and Network Computation in Neural Systems.
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.