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researcher

K. Aggarwal

31 papers hereh-index 181.7k citations41 works total

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

author position
  • sole author1
  • first author8
  • middle author12
  • last author2

Across the 23 of 31 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE25
  • astro-ph.IM4
  • astro-ph.GA2
same name
  • K. Aggarwal — 66 papers, h 23
  • K. Aggarwal — 11 papers, h 6
  • K. Aggarwal — 6 papers, h 8
  • K. Aggarwal — 4 papers, h 4
  • K. Aggarwal — 2 papers, h 3
  • K. Aggarwal — 2 papers, 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
20102024
most citedA repeating fast radio burst source localised to a nearby spiral galaxy

436 citations · 2.3k across the 31 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

4 papers · 1 filter

astro-ph.IM2023

The Petabyte Project

Evan F. Lewis, Sarah Burke-Spolaor, Maura McLaughlin +6

Transient radio sources, such as fast radio bursts, intermittent pulsars, and rotating radio transients, can offer a wealth of information regarding extreme emission physics as wel…

astro-ph.IM2021★ 6 cited

Robust Assessment of Clustering Methods for Fast Radio Transient Candidates

Kshitij Aggarwal, Sarah Burke-Spolaor, Casey J. Law +7

Fast radio transient search algorithms identify signals of interest by iterating and applying a threshold on a set of matched filters. These filters are defined by properties of th…

astro-ph.IM2020★ 25 cited

Your: Your Unified Reader

Kshitij Aggarwal, Devansh Agarwal, Joseph W Kania +9

The advancement in signal processing and GPU based systems has enabled new transient detectors at various telescopes to perform much more sensitive searches than their predecessors…

astro-ph.IM2019★ 143 cited

FETCH: A deep-learning based classifier for fast transient classification

Devansh Agarwal, Kshitij Aggarwal, Sarah Burke-Spolaor +2

With the upcoming commensal surveys for Fast Radio Bursts (FRBs), and their high candidate rate, usage of machine learning algorithms for candidate classification is a necessity. S…

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