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M. Heemskerk

4 papers hereh-index 3220 citations9 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.PR3
  • cs.PF1
same name
  • M. Heemskerk — 4 papers, h 6
  • M. Heemskerk — 1 paper, h 1
  • M. Heemskerk — 1 paper, h 48

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
20172020
most citedExact asymptotics in an infinite-server system with overdispersed input

3 citations · 3 across the 3 of their papers we have counts for

collaborators

4 papers

cs.PF2020

Staffing for many-server systems facing non-standard arrival processes

M. Heemskerk, M. Mandjes, B. Mathijsen

Arrival processes to service systems often display (i) larger than anticipated fluctuations, (ii) a time-varying rate, and (iii) temporal correlation. Motivated by this, we introdu…

math.PR2019

Single-server queues under overdispersion in the heavy-traffic regime

Onno Boxma, Mariska Heemskerk, Michel Mandjes

This paper addresses the analysis of the queue-length process of single-server queues under overdispersion, i.e., queues fed by an arrival process for which the variance of the num…

math.PR2019★ 3 cited

Exact asymptotics in an infinite-server system with overdispersed input

Mariska Heemskerk, Michel Mandjes

This short communication considers an infinite-server system with overdispersed input. The objective is to identify the exact tail asymptotics of the number of customers present at…

math.PR2017

Rare-event analysis of mixed Poisson random variables, and applications in staffing

Mariska Heemskerk, Julia Kuhn, Michel Mandjes

A common assumption when modeling queuing systems is that arrivals behave like a Poisson process with constant parameter. In practice, however, call arrivals are often observed to…

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