Guy Latouche

3.7k total citations
127 papers, 2.3k citations indexed

About

Guy Latouche is a scholar working on Management Information Systems, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Guy Latouche has authored 127 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Management Information Systems, 43 papers in Statistics and Probability and 31 papers in Computational Theory and Mathematics. Recurrent topics in Guy Latouche's work include Advanced Queuing Theory Analysis (73 papers), Random Matrices and Applications (24 papers) and Stochastic processes and statistical mechanics (23 papers). Guy Latouche is often cited by papers focused on Advanced Queuing Theory Analysis (73 papers), Random Matrices and Applications (24 papers) and Stochastic processes and statistical mechanics (23 papers). Guy Latouche collaborates with scholars based in Belgium, Australia and United States. Guy Latouche's co-authors include V. Ramaswami, Ana da Silva Soares, Beatrice Meini, Dario A. Bini, Donald P. Gaver, P. A. Jacobs, Peter Taylor, Marcel F. Neuts, Peter Taylor and Guy Louchard and has published in prestigious journals such as European Journal of Operational Research, Journal of the ACM and Applied Mathematics and Computation.

In The Last Decade

Guy Latouche

121 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guy Latouche 1.4k 670 547 545 479 127 2.3k
Arie Hordijk 1.0k 0.8× 636 0.9× 559 1.0× 446 0.8× 431 0.9× 119 2.1k
V. Ramaswami 2.7k 1.9× 1.3k 1.9× 1.2k 2.1× 539 1.0× 807 1.7× 64 3.8k
Richard F. Serfozo 1.0k 0.7× 576 0.9× 569 1.0× 187 0.3× 272 0.6× 74 2.1k
Onésimo Hernández–Lerma 626 0.5× 1.2k 1.8× 488 0.9× 522 1.0× 734 1.5× 130 3.6k
Lajos Takács 1.4k 1.0× 888 1.3× 515 0.9× 207 0.4× 502 1.0× 144 3.0k
Donald L. Iglehart 2.0k 1.4× 2.1k 3.1× 529 1.0× 256 0.5× 802 1.7× 87 3.8k
Perwez Shahabuddin 434 0.3× 1.1k 1.6× 1.1k 1.9× 125 0.2× 519 1.1× 61 2.7k
Sergey Foss 602 0.4× 827 1.2× 485 0.9× 149 0.3× 504 1.1× 108 1.9k
Winfried K. Grassmann 1.0k 0.7× 485 0.7× 467 0.9× 313 0.6× 215 0.4× 73 1.6k
J. W. Cohen 1.5k 1.1× 843 1.3× 646 1.2× 110 0.2× 322 0.7× 80 2.0k

Countries citing papers authored by Guy Latouche

Since Specialization
Citations

This map shows the geographic impact of Guy Latouche's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guy Latouche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Latouche more than expected).

Fields of papers citing papers by Guy Latouche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Latouche. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guy Latouche. The network helps show where Guy Latouche may publish in the future.

Co-authorship network of co-authors of Guy Latouche

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Latouche. A scholar is included among the top collaborators of Guy Latouche based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guy Latouche. Guy Latouche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Latouche, Guy, et al.. (2019). The time-dependent expected reward and deviation matrix of a finite QBD process. Linear Algebra and its Applications. 570. 61–92. 2 indexed citations
2.
Deelstra, Griselda, et al.. (2019). On barrier option pricing by Erlangization in a regime-switching model with jumps. Journal of Computational and Applied Mathematics. 371. 112606–112606. 9 indexed citations
3.
Latouche, Guy, et al.. (2017). Perturbation analysis of Markov modulated fluid models. Stochastic Models. 33(4). 473–494. 2 indexed citations
4.
Latouche, Guy, et al.. (2013). Extinction Probabilities of Branching Processes with Countably Infinitely Many Types. Advances in Applied Probability. 45(4). 1068–1082. 15 indexed citations
5.
Latouche, Guy, et al.. (2013). Extinction Probabilities of Branching Processes with Countably Infinitely Many Types. Advances in Applied Probability. 45(4). 1068–1082. 1 indexed citations
6.
Latouche, Guy, et al.. (2011). The Markovian binary tree applied to demography. Journal of Mathematical Biology. 64(7). 1109–1135. 10 indexed citations
7.
Latouche, Guy, et al.. (2008). Newton’s iteration for the extinction probability of a Markovian binary tree. Linear Algebra and its Applications. 428(11-12). 2791–2804. 20 indexed citations
8.
Stanford, David A., Florin Avram, Andrei L. Badescu, et al.. (2005). Phase-type Approximations to Finite-time Ruin Probabilities in the Sparre-Andersen and Stationary Renewal Risk Models. Astin Bulletin. 35(1). 131–144. 17 indexed citations
9.
Stanford, David A., Florin Avram, Andrei L. Badescu, et al.. (2005). Phase-type Approximations to Finite-time Ruin Probabilities in the Sparre-Andersen and Stationary Renewal Risk Models. Astin Bulletin. 35(1). 131–144. 31 indexed citations
10.
Bini, Dario A., Guy Latouche, & Beatrice Meini. (2005). Numerical Methods for Structured Markov Chains (Numerical Mathematics and Scientific Computation). Oxford University Press eBooks. 54 indexed citations
11.
Soares, Ana da Silva & Guy Latouche. (2005). A matrix-analytic approach to fluid queues with feedback control. International Journal of Simulation Systems Science & Technology. 6. 4–12. 18 indexed citations
12.
Bini, Dario A., Bruno Iannazzo, Guy Latouche, & Beatrice Meini. (2005). On the solution of algebraic Riccati equations arising in fluid queues. Linear Algebra and its Applications. 413(2-3). 474–494. 32 indexed citations
13.
Bini, Dario A., Guy Latouche, & Beatrice Meini. (2003). Solving nonlinear matrix equations arising in Tree-Like stochastic processes. Linear Algebra and its Applications. 366. 39–64. 38 indexed citations
14.
Bini, Dario A., Guy Latouche, & Beatrice Meini. (2002). Solving matrix polynomial equations arising in queueing problems. Linear Algebra and its Applications. 340(1-3). 225–244. 19 indexed citations
15.
Vernon, Mary K., Garth A. Gibson, Guy Latouche, & Scott T. Leutenegger. (1998). Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems. 5 indexed citations
16.
Latouche, Guy, et al.. (1998). SIGMETRICS '98 / PERFORMANCE '98. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 13 indexed citations
17.
Latouche, Guy, V. Ramaswami, & Patricia Wirth. (1997). Spatial point processes of phase type. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 381–390. 4 indexed citations
18.
Latouche, Guy. (1985). The M/M/∞ service system with ranked serveys in heavy traffic. European Journal of Operational Research. 22(3). 417–418. 1 indexed citations
19.
Louchard, Guy & Guy Latouche. (1983). Probability theory and computer science. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 32 indexed citations
20.
Latouche, Guy & Guy Louchard. (1976). Modèles de contrôle optimal d'une file d'attente avec droit d'entrée variable. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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