Daniel Arcaro

40.2k citations
978 papers · 30.9k · 16 hit papers · h-index 77

Impact in

    • 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
    • Energy, Environment, Economic Growth

Papers in

    • Particle physics theoretical and experimental studies 825
    • High-Energy Particle Collisions Research 133
    • Particle Detector Development and Performance 39
    • Quantum Chromodynamics and Particle Interactions 36
    • Neutrino Physics Research 1
    • Parallel Computing and Optimization Techniques 1

Daniel Arcaro

920 papers receiving 24.5k citations

Daniel Arcaro's Hit Papers

New Structures in the J/ψJ/ψ Mass Spectrum in Proton-Proton Collisions at s=13 TeV 2024 · 81 citations
810+3+6Years since publication250500750

Peers

Daniel Arcaro
Comparison fields: 5 of 88
  • Nuclear and High Energy Physics 30k
  • Economics and Econometrics 419
  • Astronomy and Astrophysics 243
  • Statistical and Nonlinear Physics 123
  • Hardware and Architecture 76
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Arcaro

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Arcaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Daniel Arcaro, 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 Daniel Arcaro Line = papers co-authored together Daniel Arcaro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 978 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 →
2016848
2
Particle-flow reconstruction and global event description with the CMS detector
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2017736
3
The CMS trigger system
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2017642
4
Event generator tunes obtained from underlying event and multiparton scattering measurements
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2016536
5
Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
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2018483
6
Measurement of the top quark mass using single top quark events in proton-proton collisions at s√=8 \n TeV
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2017446
7
Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √ s =13 TeV
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2018398
8
Combined measurements of Higgs boson couplings in proton–proton collisions at $$\sqrt{s}=13\,\text {Te}\text {V} $$
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2019359
9
Evidence for collectivity in pp collisions at the LHC
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2016304
10
Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements
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2020299
11
A portrait of the Higgs boson by the CMS experiment ten years after the discovery
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2022284
12 2018235
13
Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV
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2020216
14 2019214
15
Precision luminosity measurement in proton–proton collisions at $$\sqrt{s} = 13\,\hbox {TeV}$$ in 2015 and 2016 at CMS
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2021209
16 2019198
17
Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC
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2021191
18 2017175
19 2018171
20 2017168

About Daniel Arcaro

Daniel Arcaro is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Radiation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 978 papers that have together received 30.9k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (825 papers), High-Energy Particle Collisions Research (133 papers), Particle Detector Development and Performance (39 papers), Quantum Chromodynamics and Particle Interactions (36 papers), Distributed and Parallel Computing Systems (1 paper), Cloud Computing and Resource Management (1 paper), Neutrino Physics Research (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (30k citations), Economics and Econometrics (419 citations), Astronomy and Astrophysics (243 citations), Statistical and Nonlinear Physics (123 citations) and Hardware and Architecture (76 citations). Daniel Arcaro has collaborated with scholars based in Switzerland, Austria and Armenia. Frequent co-authors include F. Niell and David B. Reisman. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, The European Physical Journal C, 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.

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