◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

G. Vernardos

45 papers hereh-index 14755 citations59 works total

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

author position
  • sole author1
  • first author2
  • middle author22
  • last author6

Across the 31 of 45 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA28
  • astro-ph.CO9
  • astro-ph.IM7
  • astro-ph.HE1
same name
  • G. Vernardos — 13 papers, h 9
  • G. Vernardos — 9 papers, h 5
  • G. Vernardos — 2 papers
  • G. Vernardos — 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
20162026
most citedFinding Strong Gravitational Lenses in the Kilo Degree Survey with Convolutional Neural Networks

187 citations · 1.2k across the 42 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

astro-ph.GA2023★ 4 cited

Microlensing of strongly lensed quasars

G. Vernardos, D. Sluse, D. Pooley +9

Strong gravitational lensing of quasars has the potential to unlock the poorly understood physics of these fascinating objects, as well as serve as a probe of the lensing mass dist…

astro-ph.GA2023★ 2 cited

Accelerating galaxy dynamical modeling using a neural network for joint lensing and kinematics analyses

Matthew R. Gomer, Sebastian Ertl, Luca Biggio +6

Strong gravitational lensing is a powerful tool to provide constraints on galaxy mass distributions and cosmological parameters, such as the Hubble constant, H0​. Nevertheless, i…

astro-ph.GA2023★ 15 cited

Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events

Euclid Collaboration, L. Leuzzi, M. Meneghetti +216

Forthcoming imaging surveys will potentially increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of tens of millions…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.