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S. Sikdar

13 papers hereh-index 191.5k citations49 works total

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

author position
  • middle author1
  • last author11

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.DS9
  • cs.SI2
  • cs.DM1
  • cs.LO1
same name
  • S. Sikdar — 8 papers, h 28
  • S. Sikdar — 2 papers, h 23
  • S. Sikdar — 1 paper, h 5

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
20092015
most citedKernelization Using Structural Parameters on Sparse Graph Classes

13 citations · 48 across the 11 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

cs.SI2014★ 5 cited

Overlapping Communities in Social Networks

Jan Dreier, Philipp Kuinke, Rafael Przybylski +3

Complex networks can be typically broken down into groups or modules. Discovering this "community structure" is an important step in studying the large-scale structure of networks.…

cs.DS2014

Kernelization and Sparseness: the case of Dominating Set

Pål Grønås Drange, Markus S. Dregi, Fedor V. Fomin +9

We prove that for every positive integer r and for every graph class G of bounded expansion, the r-Dominating Set problem admits a linear kernel on graphs from $\mat…

cs.SI2014

Structural Sparsity of Complex Networks: Bounded Expansion in Random Models and Real-World Graphs

Erik D. Demaine, Felix Reidl, Peter Rossmanith +3

This research establishes that many real-world networks exhibit bounded expansion, a strong notion of structural sparsity, and demonstrates that it can be leveraged to design effic…

cs.DS2014★ 3 cited

A Faster Parameterized Algorithm for Treedepth

Felix Reidl, Peter Rossmanith, Fernando Sanchez Villaamil +1

The width measure \emph{treedepth}, also known as vertex ranking, centered coloring and elimination tree height, is a well-established notion which has recently seen a resurgence o…

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