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researcher

A. N. Mishra

30 papers hereh-index 6615.2k citations607 works total

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

author position
  • first author9
  • middle author13
  • last author2

Across the 24 of 30 papers where every author was matched, so the position is known.

fields
  • hep-ph20
  • nucl-ex7
  • nucl-th2
  • physics.ins-det1
same name
  • A. N. Mishra — 147 papers
  • A. N. Mishra — 1 paper
  • A. N. Mishra — 1 paper
  • A. N. Mishra — 1 paper
  • A. N. Mishra — 1 paper, h 8
  • A. N. Mishra — 1 paper

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
20132026
most citedTransverse momentum spectra and nuclear modification factors of charged particles in Xe-Xe collisions at sNN​​ = 5.44 TeV

111 citations · 714 across the 30 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

hep-ph2023

Effect of event classifiers on jet quenching-like signatures in high-multiplicity p+p collisions at s​=13 TeV

Hushnud Hushnud, Omveer Singh, Srikanta Kumar Tripathy +2

The motivation behind exploring jet quenching-like phenomena in small systems arises from the experimental observation of heavy-ion-like behavior of particle production in high-mul…

nucl-ex2023★ 6 cited

Symmetry plane correlations in Pb-Pb collisions at sNN​​=2.76 TeV

ALICE Collaboration

A newly developed observable for correlations between symmetry planes, which characterize the direction of the anisotropic emission of produced particles, is measured in Pb-Pb coll…

hep-ph2023★ 17 cited

Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies

Neelkamal Mallick, Suraj Prasad, Aditya Nath Mishra +2

Recent developments on a deep learning feed-forward network for estimating elliptic flow (v2​) coefficients in heavy-ion collisions have shown us the prediction power of this tec…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.