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Prayush Kumar

37 papers hereh-index 192.7k citations57 works total

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

author position
  • sole author1
  • first author5
  • middle author29
  • last author2

Across the 37 of 37 papers where every author was matched, so the position is known.

fields
  • gr-qc36
  • astro-ph.HE1
same name
  • Prayush Kumar — 9 papers, h 2
  • Prayush Kumar — 7 papers, h 24
  • Prayush Kumar — 5 papers
  • Prayush Kumar — 3 papers
  • Prayush Kumar — 2 papers
  • Prayush Kumar — 1 paper, h 1

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
20122025
most citedAn improved effective-one-body model of spinning, nonprecessing binary black holes for the era of gravitational-wave astrophysics with advanced detectors

615 citations · 2.6k across the 37 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

gr-qc2019★ 451 cited

The SXS Collaboration catalog of binary black hole simulations

Michael Boyle, Daniel Hemberger, Dante A. B. Iozzo +37

Accurate models of gravitational waves from merging black holes are necessary for detectors to observe as many events as possible while extracting the maximum science. Near the tim…

gr-qc2019★ 105 cited

On the properties of the massive binary black hole merger GW170729

Katerina Chatziioannou, Roberto Cotesta, Sudarshan Ghonge +53

We present a detailed investigation into the properties of GW170729, the gravitational wave with the most massive and distant source confirmed to date. We employ an extensive set o…

gr-qc2019★ 1 cited

Statistically-informed deep learning for gravitational wave parameter estimation

Hongyu Shen, E. A. Huerta, Eamonn O'Shea +2

We introduce deep learning models to estimate the masses of the binary components of black hole mergers, (m1​,m2​), and three astrophysical properties of the post-merger compact…

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