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researcher

Saket Saurabh

The Institute of Mathematical Sciences

182 papers hereh-index 5412.9k citations556 works total

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

author position
  • first author3
  • middle author97
  • last author78

Across the 178 of 182 papers where every author was matched, so the position is known.

fields
  • cs.DS149
  • cs.CG12
  • cs.DM9
  • cs.CC5
  • math.CO3
  • cs.GT2
affiliations
  • The Institute of Mathematical Sciences
same name
  • Saket Saurabh — 7 papers, h 2

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
20062026
most citedOn Problems as Hard as CNFSAT

121 citations · 360 across the 111 of their papers we have counts for

collaborators
Showing 2010Show all

4 papers · 1 filter

cs.DS2010

Hitting forbidden minors: Approximation and Kernelization

Fedor V. Fomin, Daniel Lokshtanov, Neeldhara Misra +2

We study a general class of problems called F-deletion problems. In an F-deletion problem, we are asked whether a subset of at most k vertices can be deleted from a graph G suc…

cs.DS2010

Known Algorithms on Graphs of Bounded Treewidth are Probably Optimal

Daniel Lokshtanov, Dániel Marx, Saket Saurabh

We obtain a number of lower bounds on the running time of algorithms solving problems on graphs of bounded treewidth. We prove the results under the Strong Exponential Time Hypothe…

cs.DS2010

Bidimensionality and EPTAS

Fedor V. Fomin, Daniel Lokshtanov, Venkatesh Raman +1

Bidimensionality theory is a powerful framework for the development of metaalgorithmic techniques. It was introduced by Demaine et al. as a tool to obtain sub-exponential time para…

cs.DS2010★ 12 cited

Beyond Bidimensionality: Parameterized Subexponential Algorithms on Directed Graphs

Frederic Dorn, Fedor V. Fomin, Daniel Lokshtanov +2

We develop two different methods to achieve subexponential time parameterized algorithms for problems on sparse directed graphs. We exemplify our approaches with two well studied p…

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