G. Marceca
Impact in
-
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Magnetic confinement fusion research
- Neutrino Physics Research
Papers in
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- Particle physics theoretical and experimental studies 395
- High-Energy Particle Collisions Research 43
- Particle Detector Development and Performance 35
- Magnetic confinement fusion research 9
- Quantum Chromodynamics and Particle Interactions 2
- Dark Matter and Cosmic Phenomena 1
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- Particle accelerators and beam dynamics 1
- Co-authors
- A. Pau (1 shared paper)Vlado Menkovski (1 shared paper)the TCV Team (1 shared paper)Frank Jenko (1 shared paper)
- Journals
- The European Physical Journal C (128 papers)Journal of High Energy Physics (120 papers)Physics Letters B (80 papers)Physical review. D (63 papers)Physical Review Letters (31 papers)
- Partner nations
- FranceAustraliaSwitzerland
In The Last Decade
G. Marceca
462 papers receiving 21.7k citations
G. Marceca's Hit Papers
Peers
Comparison fields: 5 of 140
- Nuclear and High Energy Physics 24.8k
- Statistical and Nonlinear Physics 133
- Astronomy and Astrophysics 217
- Atomic and Molecular Physics, and Optics 198
- Information Systems and Management 60
Countries citing papers authored by G. Marceca
This map shows the geographic impact of G. Marceca'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. Marceca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Marceca more than expected).
Fields of papers citing papers by G. Marceca
This network shows the impact of papers produced by G. Marceca. 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. Marceca. The network helps show where G. Marceca may publish in the future.
Co-authors
The 4 scholars most cited alongside G. Marceca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 463 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 | 848 |
| 2 | Performance of the ATLAS trigger system in 2015 Hit paper breakdown → | 2017 | 557 |
| 3 | Muon reconstruction performance of the ATLAS detector in proton–proton collision data at $$\sqrt{s}$$ s =13 TeV Hit paper breakdown → | 2016 | 440 |
| 4 | Combined measurements of Higgs boson production and decay using up to 80 fb − 1 of proton-proton collision data at s = 13 TeV collected with the ATLAS experiment Hit paper breakdown → | 2020 | 364 |
| 5 | Study of the material of the ATLAS inner detector for Run 2 of the LHC Hit paper breakdown → | 2017 | 337 |
| 6 | Electron and photon performance measurements with the ATLAS detector using the 2015–2017 LHC proton-proton collision data Hit paper breakdown → | 2019 | 297 |
| 7 | Search for high-mass dilepton resonances using 139 fb−1 of pp collision data collected at s=13 TeV with the ATLAS detector Hit paper breakdown → | 2019 | 277 |
| 8 | 2016 | 274 | |
| 9 | 2017 | 261 | |
| 10 | ATLAS b-jet identification performance and efficiency measurement with $$t{\bar{t}}$$ events in pp collisions at $$\sqrt{s}=13$$ TeV Hit paper breakdown → | 2019 | 250 |
| 11 | 2017 | 243 | |
| 12 | 2018 | 231 | |
| 13 | 2017 | 228 | |
| 14 | 2018 | 226 | |
| 15 | Performance of electron and photon triggers in ATLAS during LHC Run 2 Hit paper breakdown → | 2020 | 219 |
| 16 | 2018 | 214 | |
| 17 | Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\sqrt{s}=13$$ TeV Hit paper breakdown → | 2021 | 209 |
| 18 | Search for electroweak production of charginos and sleptons decaying into final states with two leptons and missing transverse momentum in $$\sqrt{s}=13$$ $$\text {TeV}$$ pp collisions using the ATLAS detector Hit paper breakdown → | 2020 | 207 |
| 19 | 2018 | 203 | |
| 20 | Jet energy scale and resolution measured in proton–proton collisions at $$\sqrt{s}=13$$ TeV with the ATLAS detector Hit paper breakdown → | 2021 | 195 |
About G. Marceca
G. Marceca is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 463 papers that have together received 25.7k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (395 papers), High-Energy Particle Collisions Research (43 papers), Particle Detector Development and Performance (35 papers), Magnetic confinement fusion research (9 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Dark Matter and Cosmic Phenomena (1 paper) and Particle accelerators and beam dynamics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (24.8k citations), Statistical and Nonlinear Physics (133 citations), Astronomy and Astrophysics (217 citations), Atomic and Molecular Physics, and Optics (198 citations) and Information Systems and Management (60 citations). G. Marceca has collaborated with scholars based in France, Australia and Switzerland. Frequent co-authors include A. Pau, Vlado Menkovski, the TCV Team and Frank Jenko. Their work appears in journals such as The European Physical Journal C, Journal of High Energy Physics, Physics Letters B, Physical review. D and Physical Review Letters.
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.