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researcher

K. Mondal

21 papers hereh-index 11358 citations67 works total

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

author position
  • first author1
  • middle author11
  • last author9

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.DC17
  • cs.DS4
same name
  • K. Mondal — 133 papers
  • K. Mondal — 110 papers, h 68
  • K. Mondal — 9 papers, h 5
  • K. Mondal — 5 papers
  • K. Mondal — 5 papers
  • K. Mondal — 5 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
20142026
most citedDemand-Aware Network Designs of Bounded Degree

24 citations · 40 across the 17 of their papers we have counts for

collaborators
Showing cs.DSShow all

4 papers · 1 filter

cs.DS2022

Collaborative Dispersion by Silent Robots

Barun Gorain, Partha Sarathi Mandal, Kaushik Mondal +1

In the dispersion problem, a set of k co-located mobile robots must relocate themselves in distinct nodes of an unknown network. The network is modeled as an anonymous graph $G=(…

cs.DS2021

Pebble Guided Near Optimal Treasure Hunt in Anonymous Graphs

Barun Gorain, Kaushik Mondal, Himadri Nayak +1

We study the problem of treasure hunt in a graph by a mobile agent. The nodes in the graph are anonymous and the edges at any node v of degree deg(v) are labeled arbitrarily as…

cs.DS2020★ 10 cited

NP-Completeness Results for Graph Burning on Geometric Graphs

Arya Tanmay Gupta, Swapnil A. Lokhande, Kaushik Mondal

Graph burning runs on discrete time steps. The aim is to burn all the vertices in a given graph in the least number of time steps. This number is known to be the burning number of…

cs.DS2018★ 2 cited

Push-Down Trees: Optimal Self-Adjusting Complete Trees

Chen Avin, Kaushik Mondal, Stefan Schmid

This paper studies a fundamental algorithmic problem related to the design of demand-aware networks: networks whose topologies adjust toward the traffic patterns they serve, in an…

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