G. Ninio
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Black Holes and Theoretical Physics
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- Quantum Mechanics and Applications
Papers in
-
- Particle physics theoretical and experimental studies 491
- High-Energy Particle Collisions Research 42
- Particle Detector Development and Performance 35
- Quantum Chromodynamics and Particle Interactions 9
- Astrophysics and Cosmic Phenomena 5
G. Ninio
230 papers receiving 1.4k citations
G. Ninio's Hit Papers
Peers
Comparison fields: 5 of 28
- Nuclear and High Energy Physics 1.7k
- Atomic and Molecular Physics, and Optics 34
- Artificial Intelligence 36
- Information Systems and Management 9
- Astronomy and Astrophysics 19
Countries citing papers authored by G. Ninio
This map shows the geographic impact of G. Ninio'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. Ninio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ninio more than expected).
Fields of papers citing papers by G. Ninio
This network shows the impact of papers produced by G. Ninio. 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. Ninio. The network helps show where G. Ninio may publish in the future.
No co-authors to show.
All Works
Showing the 20 most-cited of 548 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Luminosity determination in pp collisions at $$\sqrt{s}=13$$ TeV using the ATLAS detector at the LHC Hit paper breakdown → | 2023 | 105 |
| 2 | 2023 | 80 | |
| 3 | Observation of quantum entanglement with top quarks at the ATLAS detector Hit paper breakdown → | 2024 | 69 |
| 4 | 2023 | 60 | |
| 5 | Software and computing for Run 3 of the ATLAS experiment at the LHC Hit paper breakdown → | 2025 | 41 |
| 6 | 2023 | 37 | |
| 7 | 2023 | 32 | |
| 8 | 2024 | 27 | |
| 9 | 2023 | 26 | |
| 10 | 2023 | 26 | |
| 11 | 2024 | 26 | |
| 12 | 2024 | 24 | |
| 13 | 2023 | 22 | |
| 14 | 2023 | 20 | |
| 15 | 2024 | 20 | |
| 16 | 2024 | 20 | |
| 17 | 2023 | 18 | |
| 18 | 2024 | 18 | |
| 19 | 2025 | 18 | |
| 20 | 2023 | 15 |
About G. Ninio
G. Ninio is a scholar working on Nuclear and High Energy Physics, Information Systems and Management, Museology, Hardware and Architecture and Political Science and International Relations, having authored 548 papers that have together received 1.7k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (491 papers), High-Energy Particle Collisions Research (42 papers), Particle Detector Development and Performance (35 papers), Quantum Chromodynamics and Particle Interactions (9 papers), Astrophysics and Cosmic Phenomena (5 papers), Museums and Cultural Heritage (2 papers), Green IT and Sustainability (2 papers) and International Science and Diplomacy (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.7k citations), Atomic and Molecular Physics, and Optics (34 citations), Artificial Intelligence (36 citations), Information Systems and Management (9 citations) and Astronomy and Astrophysics (19 citations). G. Ninio has collaborated with scholars based in Switzerland, France and United States. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physics Letters B, Physical Review Letters and Physical review. D.
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.