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S. Ganguly

80 papers hereh-index 201.1k citations108 works total

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

author position
  • sole author1
  • first author39
  • middle author24
  • last author14

Across the 78 of 80 papers where every author was matched, so the position is known.

fields
  • math.PR71
  • math.CO4
  • math.AP1
  • math-ph1
  • math.ST1
  • q-bio.GN1
same name
  • S. Ganguly — 124 papers
  • S. Ganguly — 61 papers, h 0
  • S. Ganguly — 40 papers
  • S. Ganguly — 30 papers
  • S. Ganguly — 27 papers, h 8
  • S. Ganguly — 23 papers

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
20112026
most citedUpper tails and independence polynomials in random graphs

55 citations · 138 across the 62 of their papers we have counts for

collaborators
Showing math.COShow all

4 papers · 1 filter

math.CO2019

High-girth near-Ramanujan graphs with localized eigenvectors

Noga Alon, Shirshendu Ganguly, Nikhil Srivastava

We show that for every prime d and α∈(0,1/6), there is an infinite sequence of (d+1)-regular graphs G=(V,E) with girth at least 2αlogd​(∣V∣)(1−od​(1)), second adjac…

math.CO2018

On Non-localization of Eigenvectors of High Girth Graphs

Shirshendu Ganguly, Nikhil Srivastava

We prove improved bounds on how localized an eigenvector of a high girth regular graph can be, and present examples showing that these bounds are close to sharp. This study was ini…

math.CO2015★ 55 cited

Upper tails and independence polynomials in random graphs

Bhaswar B. Bhattacharya, Shirshendu Ganguly, Eyal Lubetzky +1

The upper tail problem in the Erdős--Rényi random graph G∼Gn,p​ asks to estimate the probability that the number of copies of a graph H in G exceeds its expect…

math.CO2012★ 1 cited

Minimum-Weight Edge Discriminator in Hypergraphs

Bhaswar B. Bhattacharya, Sayantan Das, Shirshendu Ganguly

In this paper we introduce the concept of minimum-weight edge-discriminators in hypergraphs, and study its various properties. For a hypergraph $\mathcal H=(\mathcal V, \mathcal E)…

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