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researcher

V. Subramanian

36 papers hereh-index 191.9k citations125 works total

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

author position
  • first author2
  • middle author10
  • last author24

Across the 36 of 36 papers where every author was matched, so the position is known.

fields
  • cs.GT10
  • cs.NI6
  • math.PR5
  • cs.SI4
  • cs.IT2
  • cs.LG2
same name
  • V. Subramanian — 5 papers, h 4
  • V. Subramanian — 3 papers, h 46
  • V. Subramanian — 3 papers, h 5
  • V. Subramanian — 2 papers, h 26
  • V. Subramanian — 1 paper, h 1
  • V. Subramanian — 1 paper, h 39

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
20102022
most citedLog-Convexity of Rate Region in 802.11e WLANs

30 citations · 75 across the 31 of their papers we have counts for

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2019

Local non-Bayesian social learning with stubborn agents

Daniel Vial, Vijay Subramanian

We study a social learning model in which agents iteratively update their beliefs about the true state of the world using private signals and the beliefs of other agents in a non-B…

cs.SI2018★ 1 cited

Personalized PageRank dimensionality and algorithmic implications

Daniel Vial, Vijay Subramanian

Many systems, including the Internet, social networks, and the power grid, can be represented as graphs. When analyzing graphs, it is often useful to compute scores describing the…

cs.SI2017★ 3 cited

On the role of clustering in Personalized PageRank estimation

Daniel Vial, Vijay Subramanian

Personalized PageRank (PPR) is a measure of the importance of a node from the perspective of another (we call these nodes the target and the source, respectiv…

cs.SI2014★ 1 cited

Explaining Snapshots of Network Diffusions: Structural and Hardness Results

Georgios Askalidis, Randall A. Berry, Vijay G. Subramanian

Much research has been done on studying the diffusion of ideas or technologies on social networks including the \textit{Influence Maximization} problem and many of its variations.…

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