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Valerie King

22 papers hereh-index 333.8k citations105 works total

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

author position
  • first author6
  • middle author12
  • last author4

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.DC9
  • cs.DS6
  • cs.CG4
  • cs.CR1
  • cs.DM1
  • cs.SI1
same name
  • Valerie King — 2 papers, h 1
  • Valerie King — 1 paper, 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
20072022
most citedBreaking the O(n^2) Bit Barrier: Scalable Byzantine agreement with an Adaptive Adversary

46 citations · 67 across the 18 of their papers we have counts for

collaborators
Showing cs.CGShow all

4 papers · 1 filter

cs.CG2014

Kinetic k-Semi-Yao Graph and its Applications

Zahed Rahmati, Mohammad Ali Abam, Valerie King +1

This paper introduces a new proximity graph, called the k-Semi-Yao graph (k-SYG), on a set P of points in Rd, which is a supergraph of the k-nearest neighbor gr…

cs.CG2014

Kinetic Reverse k-Nearest Neighbor Problem

Zahed Rahmati, Valerie King, Sue Whitesides

This paper provides the first solution to the kinetic reverse k-nearest neighbor (\rknn) problem in Rd, which is defined as follows: Given a set P of n moving poi…

cs.CG2013

A Simple, Faster Method for Kinetic Proximity Problems

Zahed Rahmati, Mohammad Ali Abam, Valerie King +2

For a set of n points in the plane, this paper presents simple kinetic data structures (KDS's) for solutions to some fundamental proximity problems, namely, the all nearest neigh…

cs.CG2013★ 1 cited

Kinetic Data Structures for the Semi-Yao Graph and All Nearest Neighbors in R^d

Zahed Rahmati, Mohammad Ali Abam, Valerie King +1

This paper presents a simple kinetic data structure for maintaining all the nearest neighbors of a set of n moving points in Rd, where the trajectory of each point is…

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