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R. Laamara

100 papers hereh-index 181.1k citations164 works total

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

author position
  • first author17
  • middle author35
  • last author46

Across the 98 of 100 papers where every author was matched, so the position is known.

fields
  • quant-ph66
  • hep-th26
  • hep-ph4
  • gr-qc3
  • physics.gen-ph1
same name
  • R. Laamara — 2 papers, h 4

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
20042026
most citedA comparative study of local quantum Fisher information and local quantum uncertainty in Heisenberg XY model

72 citations · 676 across the 99 of their papers we have counts for

collaborators
Showing hep-phShow all

4 papers · 1 filter

hep-ph2025

Compactified 2HDM under the Non-SUSY AdS instability conjecture

M. A. Rbah, S. Saoud, R. Sammani +2

We investigate how extra-dimensional dynamics influence Higgs-sector phenomenology by compactifying a Two-Higgs-Doublet Model (2HDM) coupled to 4D gravity on a circle \(S^1\). The…

hep-ph2018★ 11 cited

Neutrino phenomenology in the flavored NMSSM without domain wall problems

M. A. Ouahid, M. A. Loualidi, R. Ahl Laamara +1

We propose a next-to-minimal supersymmetric Standard Model (NMSSM) extended by an A4​×Z3​ flavor symmetry and three right-handed neutrinos providi…

hep-ph2018★ 4 cited

Hybrid seesaw neutrino model in SUSY SU(5)×A4​

R. Ahl Laamara, M. A. Loualidi, M. Miskaoui +1

Motivated by recent results from neutrino experiments, we study the neutrino masses and mixing in the framework of a SUSY SU(5)×A4​ model. The hybrid of Type I…

hep-ph2016★ 6 cited

Type II seesaw supersymmetric neutrino model for θ13​=0

R. Ahl Laamara, M. A Loualidi, E. H Saidi

Using the type II seesaw approach and properties of discrete flavor symmetry group representations, we build a supersymmetric A4​×A3​\ neutrino model with θ13​=0…

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