T. Esch

20.6k citations
341 papers · 15.6k · 5 hit papers · h-index 62

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

Papers in

T. Esch

336 papers receiving 11.9k citations

T. Esch's Hit Papers

Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements 2020 · 299 citations
2990+3+6Years since publication200400600

Peers

T. Esch
Comparison fields: 5 of 52
  • Nuclear and High Energy Physics 15.4k
  • Statistical and Nonlinear Physics 59
  • Astronomy and Astrophysics 93
  • Hardware and Architecture 26
  • Artificial Intelligence 64
Replace F. Colombo with:
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N. Ruckstuhl Switzerland
Brieuc François Austria
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T. Esch relative to F. Colombo Austria F. Colombo's profile →
Citations per field
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Citations per year

Countries citing papers authored by T. Esch

Since Specialization
Citations

This map shows the geographic impact of T. Esch'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 T. Esch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Esch more than expected).

Fields of papers citing papers by T. Esch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 341 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 →
2017736
2
Event generator tunes obtained from underlying event and multiparton scattering measurements
Hit paper breakdown →
2016536
3
Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
Hit paper breakdown →
2018483
4
Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √ s =13 TeV
Hit paper breakdown →
2018398
5
Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements
Hit paper breakdown →
2020299
6 2018235
7 2019214
8 2018171
9 2017168
10 2015166
11 2018149
12 2016130
13 2018130
14 2018130
15 2018128
16 2015119
17 2015117
18 2016111
19 2018111
20 2017109

About T. Esch

T. Esch is a scholar working on Nuclear and High Energy Physics, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 341 papers that have together received 15.6k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (298 papers), High-Energy Particle Collisions Research (43 papers), Quantum Chromodynamics and Particle Interactions (11 papers) and Particle Detector Development and Performance (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (15.4k citations), Statistical and Nonlinear Physics (59 citations), Astronomy and Astrophysics (93 citations), Hardware and Architecture (26 citations) and Artificial Intelligence (64 citations). T. Esch has collaborated with scholars based in Austria, Germany and Switzerland. 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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