David Vannerom

37.0k citations
1.0k papers · 23.8k · 12 hit papers · h-index 68

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
    • Astrophysics and Cosmic Phenomena
    • Cosmology and Gravitation Theories

Papers in

    • Particle physics theoretical and experimental studies 815
    • High-Energy Particle Collisions Research 679
    • Quantum Chromodynamics and Particle Interactions 423
    • Dark Matter and Cosmic Phenomena 218
    • Neutrino Physics Research 208
    • Astrophysics and Cosmic Phenomena 206
    • Particle Detector Development and Performance 170
    • Cosmology and Gravitation Theories 89

David Vannerom

953 papers receiving 19.1k citations

David Vannerom'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 publication200400600

Peers

David Vannerom
Comparison fields: 5 of 94
  • Nuclear and High Energy Physics 23.0k
  • Astronomy and Astrophysics 4.4k
  • Artificial Intelligence 1.2k
  • Radiation 225
  • Statistical and Nonlinear Physics 272
Replace Yacine Haddad with:
Yacine Haddad Switzerland
Martin Delcourt Switzerland
Simone Pigazzini Switzerland
K. Kothekar Austria
V. Veckalns Switzerland
Frank Jensen Switzerland
Christopher Seez Switzerland
Georgios Konstantinos Krintiras Switzerland
Louise Skinnari Switzerland
Rachel Bartek Switzerland
David Vannerom relative to Yacine Haddad Switzerland Yacine Haddad's profile →
Citations per field
00.5×1.5×
Yacine Haddad · 1×
Citations per year

Countries citing papers authored by David Vannerom

Since Specialization
Citations

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

Fields of papers citing papers by David Vannerom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside David Vannerom, 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 David Vannerom Line = papers co-authored together David Vannerom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 1.0k papers — load more, or switch the sort, to bring in the rest.

#Work
1
Particle-flow reconstruction and global event description with the CMS detector
Hit paper breakdown →
2017699
2
Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
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2018460
3
Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √ s =13 TeV
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2018346
4
Combined measurements of Higgs boson couplings in proton–proton collisions at $$\sqrt{s}=13\,\text {Te}\text {V} $$
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2019331
5
Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements
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2020279
6
IceCube high-energy starting event sample: Description and flux characterization with 7.5 years of data
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2021270
7 2018219
8
Observation of high-energy neutrinos from the Galactic plane
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2023211
9
Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV
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2020202
10 2019195
11
Precision luminosity measurement in proton–proton collisions at $$\sqrt{s} = 13\,\hbox {TeV}$$ in 2015 and 2016 at CMS
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2021193
12 2019187
13
Improved Characterization of the Astrophysical Muon–neutrino Flux with 9.5 Years of IceCube Data
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2022174
14
Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC
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2021174
15 2018167
16 2017164
17 2017163
18 2018152
19 2019145
20 2018140

About David Vannerom

David Vannerom is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Radiation, Artificial Intelligence and Aerospace Engineering, having authored 1.0k papers that have together received 23.8k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (815 papers), High-Energy Particle Collisions Research (679 papers), Quantum Chromodynamics and Particle Interactions (423 papers), Dark Matter and Cosmic Phenomena (218 papers), Neutrino Physics Research (208 papers), Astrophysics and Cosmic Phenomena (206 papers), Particle Detector Development and Performance (170 papers) and Cosmology and Gravitation Theories (89 papers). The work is most often cited by research in Nuclear and High Energy Physics (23.0k citations), Astronomy and Astrophysics (4.4k citations), Artificial Intelligence (1.2k citations), Radiation (225 citations) and Statistical and Nonlinear Physics (272 citations). David Vannerom has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Reza Goldouzian, Laurent Favart, J. Luetic, Georgia Karapostoli, Barbara Clerbaux, T. Maerschalk, Catherine Vander Velde, Nicolas Postiau, Fengwangdong Zhang and R. Yonamine. 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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