World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
32
Citations
4374
World Ranking
3190
National Ranking
41

Overview

Guy Latouche is affiliated with the Université Libre de Bruxelles in Belgium. Their research work spans areas primarily within Computer Science and Mathematics, with additional contributions in Business, Management and Accounting.

The main fields of study covered by their publications include:

  • Computer Science
  • Mathematics
  • Business, Management and Accounting

The subfields in which Guy Latouche has contributed include:

  • Computational Theory and Mathematics
  • Management Information Systems
  • Mathematical Physics
  • Finance
  • Applied Mathematics

Their research topics demonstrate a focus on stochastic modeling as well as mathematical and computational methods, including:

  • Advanced Queuing Theory Analysis
  • Stochastic processes and statistical mechanics
  • Matrix Theory and Algorithms
  • Holomorphic and Operator Theory
  • Data Management and Algorithms
  • Stochastic processes and financial applications
  • Advanced Graph Theory Research

Guy Latouche has authored several papers published in notable venues. Recent publications include:

  • "Fluid Flow Model for Energy-Aware Server Performance Evaluation," 2020, Methodology And Computing In Applied Probability
  • "Numerical Solution of a Matrix Integral Equation Arising in Markov-Modulated Lévy Processes," 2022, SIAM Journal on Scientific Computing
  • "Traffic lights, clumping and QBDs," 2020, CINECA IRIS Institutial research information system (University of Pisa)
  • "Singularly Perturbed Markov Modulated Fluid Queues," 2022, SIAM Journal on Matrix Analysis and Applications
  • "Strong convergence to two-dimensional alternating Brownian motion processes," 2022, Stochastic Models

The frequent venues where Guy Latouche's work appears are:

  • Stochastic Models
  • arXiv (Cornell University)
  • Methodology And Computing In Applied Probability
  • SIAM Journal on Scientific Computing
  • CINECA IRIS Institutial research information system (University of Pisa)

Collaborations form a significant part of their research output. Frequent coauthors include:

  • Beatrice Meini
  • Dario A. Bini
  • Eleonora Deiana
  • Marie-Ange Remiche
  • Steven R. Finch

Best Publications

  • Introduction to matrix analytic methods in stochastic modeling

    Guy Latouche;V. Ramaswami

  • A logarithmic reduction algorithm for quasi-birth-death processes

    Guy Latouche;V. Ramaswami

  • Numerical methods for structured Markov chains

    Dario Andrea Bini;Guy Latouche;Beatrice Meini

  • Finite birth-and-death models in randomly changing environments

    Donald Paul Gaver;Patricia A. Latouche G. Jacobs;Guy Latouche

  • Efficient Algorithmic Solutions to Exponential Tandem Queues with Blocking

    Guy Latouche;Marcel F. Neuts

  • Numerical Methods for Structured Markov Chains (Numerical Mathematics and Scientific Computation)

    Dario A. Bini;Guy Latouche;Beatrice Meini

  • Risk processes analyzed as fluid queues

    Andrei Badescu;Lothar Breuer;Ana Da Silva Soares;Guy Latouche

  • Matrix-analytic methods for fluid queues with finite buffers

    Ana da Silva Soares;Guy Latouche

  • Queues with paired customers

    Guy Latouche

  • A general class of Markov processes with explicit matrix-geometric solutions

    V. Ramswami;G. Latouche

  • ALGORITHMS FOR INFINITE MARKOV CHAINS WITH REPEATING COLUMNS

    Guy Latouche

  • Newton's iteration for non-linear equations in Markov chains

    Guy Latouche

  • Fishman's sampling plan for computing network reliability

    E. Manzi;M. Labbe;G. Latouche;F. Maffioli

  • Fluid queues with level dependent evolution

    Ana da Silva Soares;Guy Latouche

  • Finite Markov chain models skip-free in one direction

    Guy Latouche;P. A. Jacobs;D. P. Gaver

  • Performance of an ATM switch: simulation study

    T.E. Eliazov;V. Ramaswami;W. Willinger;G. Latouche

  • A geometric interpretation of the relations between the exponential and generalized Erlang distributions

    Michel Dehon;Guy Latouche

  • Phase-type approximations to finite-time ruin probabilities in the Sparre-Andersen and stationary renewal risk models

    D.A. Stanford;F. Avram;A.L. Badescu;L. Breuer

  • Further results on the similarity between fluid queues and QBDs

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

  • On the solution of algebraic Riccati equations arising in fluid queues

    Dario Andrea Bini;B. Iannazzo;Guy Latouche;Beatrice Meini

  • Advances in Algorithmic Methods for Stochastic Models

    Guy Latouche;Peter G. Taylor

  • Matrix-Analytic Methods in Stochastic Models

    Guy Latouche;Vaidyanathan Ramaswami;Jay Sethuraman;Karl Sigman

  • Newton's iteration for nonlinear equations in Markov chains

    Guy Latouche

Frequent Co-Authors

Dario Andrea Bini
Dario Andrea Bini University of Pisa
Peter G. Taylor
Peter G. Taylor University of Melbourne
Phuoc Tran-Gia
Phuoc Tran-Gia University of Würzburg
Martine Labbé
Martine Labbé Université Libre de Bruxelles
Garth A. Gibson
Garth A. Gibson Carnegie Mellon University
Mark S. Squillante
Mark S. Squillante IBM (United States)
D. De Zutter
D. De Zutter Ghent University
Marc Moeneclaey
Marc Moeneclaey Ghent University
Marc Moonen
Marc Moonen KU Leuven
Hendrik Rogier
Hendrik Rogier Ghent University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Choosing to study Mathematics in the USA opens many doors, not only in pure math fields but also across business, finance, and technology. For those interested in blending analytical skills with management, exploring an mba programs easy to get into can offer a flexible entry point into leadership roles.

For busy professionals, pursuing the easiest online mba program might be an ideal option, providing valuable credentials without compromising current commitments. These programs often emphasize practical skills that complement a math background.

Mathematics graduates interested in higher academic achievements or business analytics could consider a cheapest online dba. This degree focuses on advanced business administration topics and is cost-effective for distance learners.

Additionally, those aiming to enter finance sectors will find many competitive masters in finance online programs, which leverage quantitative and analytical skills developed during math studies to prepare graduates for strong career growth.

Best Scientists Citing Guy Latouche

Trending Scientists