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researcher

Aman Agarwal

4 papers hereh-index 241 citations5 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE3
  • astro-ph.CO1
same name
  • Aman Agarwal — 7 papers, h 8
  • Aman Agarwal — 3 papers, h 8
  • Aman Agarwal — 2 papers, h 2
  • Aman Agarwal — 2 papers, h 6
  • Aman Agarwal — 1 paper, h 3
  • Aman Agarwal — 1 paper, h 3

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
20212026
most cited"Super-Kilonovae" from Massive Collapsars as Signatures of Black-Hole Birth in the Pair-instability Mass Gap

39 citations · 40 across the 4 of their papers we have counts for

collaborators
Showing astro-ph.HEShow all

3 papers · 1 filter

astro-ph.HE2026

Inferring the role of binary neutron star mergers in r-process nucleosynthesis with multi-messenger observations using Cosmic Explorer and Einstein Telescope

Aman Agarwal, Suvodip Mukherjee, Daniel M. Siegel

Identifying the cosmic origin of rapid neutron-capture (r-process) elements remains an open problem. Binary neutron-star (BNS) mergers and rare classes of core-collapse supernovae…

astro-ph.HE2025

Ignition of weak interactions and r-process outflows in super-collapsar accretion disks

Aman Agarwal, Daniel M. Siegel, Brian D. Metzger +1

The collapse of rotating massive (~10M⊙​) stars resulting in hyperaccreting black holes (BHs; "collapsars") is a leading model for the central engines of long-duration gamma…

astro-ph.HE2021★ 39 cited

"Super-Kilonovae" from Massive Collapsars as Signatures of Black-Hole Birth in the Pair-instability Mass Gap

Daniel M. Siegel, Aman Agarwal, Jennifer Barnes +3

The core collapse of rapidly rotating massive ~10 Msun stars ("collapsars"), and resulting formation of hyper-accreting black holes, are a leading model for the central engines of…

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