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Computer Science

D-Index
32
Citations
3491
World Ranking
13284
National Ranking
395

Overview

Peter G. Taylor is affiliated with the University of Melbourne in Australia. Their research contributions span various domains within medicine, with a focus on modeling, simulation, and epidemiological studies.

Their publication record includes recent papers such as:

  • Modeling and analysis of block arrival times in the Bitcoin blockchain, 2020, Stochastic Models
  • Small mammals reduce activity during high moon illumination under risk of predation by introduced predators, 2023, Scientific Reports
  • A Restless Bandit Model for Resource Allocation, Competition, and Reservation, 2021, Operations Research
  • Safe Blues: A Method for Estimation and Control in the Fight Against COVID-19, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • A stochastic model for the patient-bed assignment problem with random arrivals and departures, 2021, Annals of Operations Research

The frequent co-authors collaborating with Peter G. Taylor include:

  • James M. McCaw
  • Punya Alahakoon
  • Mark Fackrell
  • Yoni Nazarathy
  • Somya Mehra

Publication venues where Peter G. Taylor often disseminates research work are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • IDS Bulletin
  • Stochastic Models
  • Queueing Systems

Their primary field of study is Medicine, with several subfields including:

  • Management Information Systems
  • Modeling and Simulation
  • Public Health, Environmental and Occupational Health
  • Management Science and Operations Research
  • Computer Networks and Communications

The main research topics covered by their work are:

  • COVID-19 epidemiological studies
  • Advanced Queuing Theory Analysis
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Healthcare Operations and Scheduling Optimization
  • Influenza Virus Research Studies
  • COVID-19 Digital Contact Tracing
  • Probability and Risk Models

Best Publications

  • Citation Statistics

    Robert Adler;John Ewing;Peter Taylor

  • Bitcoin blockchain dynamics: The selfish-mine strategy in the presence of propagation delay

    Johannes Göbel;Holger Paul Keeler;Anthony E. Krzesinski;Peter G. Taylor

  • Product form in networks of queues with batch arrivals and batch services

    W. Henderson;P. G. Taylor

  • Waiting time distributions in the accumulating priority queue

    David A. Stanford;Peter Taylor;Ilze Ziedins

  • Some properties of the rate operators in level dependent quasi-birth-and-death processes with a countable number of phases

    V. Ramaswami;P.G. Taylor

  • A net level performance analysis of Stochastic Petri Nets

    W. Henderson;D. Lucic;P. G. Taylor

  • Braess's paradox in a loss network

    N. G. Bean;F. P. Kelly;P. G. Taylor

  • Spectral properties of the tandem Jackson network, seen as a quasi-birth-and-death process

    Dirk Kroese;Willem R.W. Scheinhardt;P.G. Taylor

  • ALGORITHMS FOR RETURN PROBABILITIES FOR STOCHASTIC FLUID FLOWS

    Nigel G. Bean;Małgorzata M. O'Reilly;Peter G. Taylor

  • Embedded processes in stochastic Petri nets

    W. Henderson;P.G. Taylor

  • Product form equilibrium distributions and a convolution algorithm for stochastic Petri nets

    J. L. Coleman;W. Henderson;P. G. Taylor

  • Block arrivals in the Bitcoin blockchain.

    Rhys Bowden;H. Paul Keeler;Anthony E. Krzesinski;Peter G. Taylor

  • A Geometric Product-Form Distribution for a Queueing Network by Non-Standard Batch Arrivals and Batch Transfers

    Masakiyo Miyazawa;Peter G. Taylor

  • Further results on the similarity between fluid queues and QBDs

    Ana Da Silva Soares;Guy Latouche;Peter G. Taylor

  • Algorithms for the Laplace–Stieltjes Transforms of First Return Times for Stochastic Fluid Flows

    Nigel G. Bean;Małgorzata M. O’Reilly;Peter G. Taylor

  • Matrix-analytic methods: theory and applications

    Guy Latouche;Peter G. Taylor

  • The quasi-stationary behavior of quasi-birth-and-death processes

    Nigel Bean;L. Bright;Guy Latouche;Charles Pearce

  • Modeling Handovers in Cellular Mobile Networks with Dynamic Channel Allocation

    D. L. Pallant;P. G. Taylor

  • Geometric equilibrium distributions for queues with interactive batch departures

    William Henderson;Bruce S. Northcote;Peter G. Taylor

  • Advances in Algorithmic Methods for Stochastic Models

    Guy Latouche;Peter G. Taylor

  • Bitcoin Blockchain Dynamics: the Selfish-Mine Strategy in the Presence of Propagation Delay

    Johannes Göbel;Paul Keeler;Anthony E. Krzesinski;Peter G. Taylor

Frequent Co-Authors

Sammy Chan
Sammy Chan University of Hong Kong
Moshe Zukerman
Moshe Zukerman City University of Hong Kong
Derek Abbott
Derek Abbott University of Adelaide
Dirk P. Kroese
Dirk P. Kroese University of Queensland
Michel Mandjes
Michel Mandjes Leiden University
Frank Kelly
Frank Kelly University of Cambridge
Shane G. Henderson
Shane G. Henderson Cornell University
Darryl Veitch
Darryl Veitch University of Technology Sydney
Edmund J. Crampin
Edmund J. Crampin University of Melbourne
Mark A. Elgar
Mark A. Elgar University of Melbourne

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