D. Salerno
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 97
- High-Energy Particle Collisions Research 85
- Quantum Chromodynamics and Particle Interactions 56
- Dark Matter and Cosmic Phenomena 17
- Particle Detector Development and Performance 14
- Neutrino Physics Research 4
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- Cosmology and Gravitation Theories 15
D. Salerno
97 papers receiving 3.4k citations
D. Salerno's Hit Papers
Peers
Comparison fields: 5 of 55
- Nuclear and High Energy Physics 4.3k
- Astronomy and Astrophysics 813
- Artificial Intelligence 185
- Statistical and Nonlinear Physics 34
- Computer Networks and Communications 53
Countries citing papers authored by D. Salerno
This map shows the geographic impact of D. Salerno'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 D. Salerno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Salerno more than expected).
Fields of papers citing papers by D. Salerno
This network shows the impact of papers produced by D. Salerno. 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 D. Salerno. The network helps show where D. Salerno may publish in the future.
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All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at s = 7 $$ \sqrt{s}=7 $$ and 8 TeV Hit paper breakdown → | 2016 | 808 |
| 2 | Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV Hit paper breakdown → | 2018 | 460 |
| 3 | 2017 | 164 | |
| 4 | 2015 | 147 | |
| 5 | 2017 | 131 | |
| 6 | 2015 | 116 | |
| 7 | 2017 | 81 | |
| 8 | 2017 | 77 | |
| 9 | 2017 | 77 | |
| 10 | 2017 | 72 | |
| 11 | 2017 | 68 | |
| 12 | 2016 | 60 | |
| 13 | 2015 | 59 | |
| 14 | 2016 | 59 | |
| 15 | 2015 | 58 | |
| 16 | 2016 | 54 | |
| 17 | 2015 | 54 | |
| 18 | 2018 | 53 | |
| 19 | 2016 | 50 | |
| 20 | 2017 | 50 |
About D. Salerno
D. Salerno is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 98 papers that have together received 4.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (97 papers), High-Energy Particle Collisions Research (85 papers), Quantum Chromodynamics and Particle Interactions (56 papers), Dark Matter and Cosmic Phenomena (17 papers), Cosmology and Gravitation Theories (15 papers), Particle Detector Development and Performance (14 papers), Neutrino Physics Research (4 papers) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (4.3k citations), Astronomy and Astrophysics (813 citations), Artificial Intelligence (185 citations), Statistical and Nonlinear Physics (34 citations) and Computer Networks and Communications (53 citations). D. Salerno has collaborated with scholars based in Austria, Germany and Switzerland. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, The European Physical Journal C, Physical review. D and Journal of Instrumentation.
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.