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T. Kishimoto

23 papers hereh-index 458.1k citations337 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4

Across the 6 of 23 papers where every author was matched, so the position is known.

fields
  • hep-ex12
  • nucl-ex5
  • cs.CV1
  • cs.LG1
  • physics.comp-ph1
  • physics.data-an1
same name
  • T. Kishimoto — 69 papers
  • T. Kishimoto — 62 papers
  • T. Kishimoto — 31 papers
  • T. Kishimoto — 29 papers
  • T. Kishimoto — 11 papers, h 20
  • T. Kishimoto — 9 papers, h 16

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedCombined 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

489 citations · 1.8k across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

hep-ex2020★ 44 cited

Search for displaced leptons in s​=13 TeV pp collisions with the ATLAS detector

ATLAS Collaboration

A search for charged leptons with large impact parameters using 139 fb−1 of s​=13 TeV pp collision data from the ATLAS detector at the LHC is presented, addressing…

hep-ex2020★ 36 cited

Search for resonances decaying into a weak vector boson and a Higgs boson in the fully hadronic final state produced in proton−proton collisions at s​=13 TeV with the ATLAS detector

ATLAS Collaboration

A search for heavy resonances decaying into a W or Z boson and a Higgs boson produced in proton−proton collisions at the Large Hadron Collider at s​=13 TeV is prese…

physics.comp-ph2020★ 57 cited

Event Classification with Quantum Machine Learning in High-Energy Physics

Koji Terashi, Michiru Kaneda, Tomoe Kishimoto +3

We present studies of quantum algorithms exploiting machine learning to classify events of interest from background events, one of the most representative machine learning applicat…

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