M. Lavorgna

19.9k citations
312 papers · 12.0k · 7 hit papers · h-index 57

Impact in

    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Particle Detector Development and Performance
    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research
    • Black Holes and Theoretical Physics
    • Cosmology and Gravitation Theories

Papers in

    • Particle physics theoretical and experimental studies 304
    • High-Energy Particle Collisions Research 246
    • Particle Detector Development and Performance 145
    • Quantum Chromodynamics and Particle Interactions 108
    • Dark Matter and Cosmic Phenomena 46
    • Neutrino Physics Research 24
    • Black Holes and Theoretical Physics 6
    • Cosmology and Gravitation Theories 24

M. Lavorgna

311 papers receiving 10.1k citations

M. Lavorgna's Hit Papers

Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\sqrt{s}=13$$ TeV 2021 · 193 citations
1930+2+4Years since publication100200300

Peers

M. Lavorgna
Comparison fields: 5 of 89
  • Nuclear and High Energy Physics 11.6k
  • Astronomy and Astrophysics 2.1k
  • Artificial Intelligence 923
  • Computer Networks and Communications 292
  • Statistical and Nonlinear Physics 130
Replace Y. Kano with:
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S. E. von Buddenbrock France
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Simen Hellesund Switzerland
Andrzej Smykiewicz France
Ivan Pogrebnyak France
M. Lavorgna relative to Y. Kano France Y. Kano's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Lavorgna

Since Specialization
Citations

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

Fields of papers citing papers by M. Lavorgna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside M. Lavorgna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Lavorgna Line = papers co-authored together M. Lavorgna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 312 papers — load more, or switch the sort, to bring in the rest.

#Work
1
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 →
2020338
2
Electron and photon performance measurements with the ATLAS detector using the 2015–2017 LHC proton-proton collision data
Hit paper breakdown →
2019282
3
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 →
2019263
4
ATLAS b-jet identification performance and efficiency measurement with $$t{\bar{t}}$$ events in pp collisions at $$\sqrt{s}=13$$ TeV
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2019231
5 2018221
6 2020213
7
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 →
2020194
8
Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\sqrt{s}=13$$ TeV
Hit paper breakdown →
2021193
9 2018192
10 2020186
11
Jet energy scale and resolution measured in proton–proton collisions at $$\sqrt{s}=13$$ TeV with the ATLAS detector
Hit paper breakdown →
2021181
12 2020179
13 2020148
14 2020146
15 2019130
16 2019125
17 2018123
18 2019123
19 2020109
20 2021108

About M. Lavorgna

M. Lavorgna is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Radiation, Artificial Intelligence and Civil and Structural Engineering, having authored 312 papers that have together received 12.0k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (304 papers), High-Energy Particle Collisions Research (246 papers), Particle Detector Development and Performance (145 papers), Quantum Chromodynamics and Particle Interactions (108 papers), Dark Matter and Cosmic Phenomena (46 papers), Neutrino Physics Research (24 papers), Cosmology and Gravitation Theories (24 papers) and Black Holes and Theoretical Physics (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (11.6k citations), Astronomy and Astrophysics (2.1k citations), Artificial Intelligence (923 citations), Computer Networks and Communications (292 citations) and Statistical and Nonlinear Physics (130 citations). M. Lavorgna has collaborated with scholars based in France, Switzerland and Australia. Frequent co-authors include C. Stornaiolo, R. de Ritis, G. Platania, Raffaele Cioffi, Luciano Manuel Santoro and Milena Marroccoli. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physical review. D, Physics Letters B 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.

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