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researcher

P. Lopes

27 papers hereh-index 195k citations53 works total

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

author position
  • first author4
  • middle author16
  • last author3

Across the 23 of 27 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA13
  • astro-ph.CO10
  • astro-ph2
  • astro-ph.HE2
same name
  • P. Lopes — 28 papers, h 9
  • P. Lopes — 13 papers, h 8
  • P. Lopes — 6 papers, h 4
  • P. Lopes — 2 papers, h 30
  • P. Lopes — 2 papers, h 16
  • P. Lopes — 2 papers, h 2

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
20032023
most citedThe Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/VIRGO GW170817. II. UV, Optical, and Near-IR Light Curves and Comparison to Kilonova Models

1k citations · 2.2k across the 26 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

astro-ph.GA2020★ 38 cited

An environmental dependence of the physical and structural properties in the Hydra Cluster galaxies

Ciria Lima-Dias, Antonela Monachesi, Sergio Torres-Flores +20

The nearby Hydra Cluster (∼50 Mpc) is an ideal laboratory to understand, in detail, the influence of the environment on the morphology and quenching of galaxies in dense envir…

astro-ph.CO2020★ 119 cited

The miniJPAS survey: a preview of the Universe in 56 colours

S. Bonoli, A. Marín-Franch, J. Varela +166

The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will soon start to scan thousands of square degrees of the northern extragalactic sky with a unique…

astro-ph.CO2020★ 11 cited

Reliable Photometric Membership (RPM) of Galaxies in Clusters. I. A Machine Learning Method and its Performance in the Local Universe

P. A. A. Lopes, A. L. B. Ribeiro

We introduce a new method to determine galaxy cluster membership based solely on photometric properties. We adopt a machine learning approach to recover a cluster membership probab…

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