Bruno Tuffin

3.6k total citations
120 papers, 1.6k citations indexed

About

Bruno Tuffin is a scholar working on Management Science and Operations Research, Statistics and Probability and Numerical Analysis. According to data from OpenAlex, Bruno Tuffin has authored 120 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Management Science and Operations Research, 34 papers in Statistics and Probability and 27 papers in Numerical Analysis. Recurrent topics in Bruno Tuffin's work include Probability and Risk Models (30 papers), Mathematical Approximation and Integration (27 papers) and ICT Impact and Policies (22 papers). Bruno Tuffin is often cited by papers focused on Probability and Risk Models (30 papers), Mathematical Approximation and Integration (27 papers) and ICT Impact and Policies (22 papers). Bruno Tuffin collaborates with scholars based in France, Canada and United States. Bruno Tuffin's co-authors include Pierre L’Ecuyer, Gerardo Rubino, Patrick Maillé, David Ros, Zdravko I. Botev, Eitan Altman, Dhiman Barman, Milan Vojnović, Gerardo Rubino and Bruno Séricola and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Communications Magazine.

In The Last Decade

Bruno Tuffin

111 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bruno Tuffin France 22 556 420 331 286 225 120 1.6k
Endre Boros United States 30 294 0.5× 420 1.0× 100 0.3× 88 0.3× 334 1.5× 195 3.1k
Ushio Sumita United States 22 327 0.6× 142 0.3× 568 1.7× 251 0.9× 131 0.6× 118 1.6k
Donald L. Iglehart United States 30 2.1k 3.7× 529 1.3× 802 2.4× 345 1.2× 208 0.9× 87 3.8k
Uriel G. Rothblum Israel 26 664 1.2× 223 0.5× 144 0.4× 63 0.2× 214 1.0× 155 2.6k
Wai‐Ki Ching Hong Kong 22 139 0.3× 115 0.3× 69 0.2× 72 0.3× 86 0.4× 148 2.0k
Jean‐Luc Marichal Luxembourg 27 2.9k 5.2× 72 0.2× 1.5k 4.4× 157 0.5× 37 0.2× 97 4.0k
Richard Weber United Kingdom 31 1.0k 1.8× 2.2k 5.2× 115 0.3× 30 0.1× 1.2k 5.3× 110 4.0k
Edison Tse United States 22 159 0.3× 330 0.8× 65 0.2× 59 0.2× 210 0.9× 90 2.6k
Miklós Telek Hungary 23 356 0.6× 1.1k 2.5× 209 0.6× 104 0.4× 438 1.9× 167 2.2k
Michel Mandjes Netherlands 26 793 1.4× 1.1k 2.7× 386 1.2× 35 0.1× 664 3.0× 315 2.6k

Countries citing papers authored by Bruno Tuffin

Since Specialization
Citations

This map shows the geographic impact of Bruno Tuffin'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 Bruno Tuffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Tuffin more than expected).

Fields of papers citing papers by Bruno Tuffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Tuffin. 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 Bruno Tuffin. The network helps show where Bruno Tuffin may publish in the future.

Co-authorship network of co-authors of Bruno Tuffin

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Tuffin. A scholar is included among the top collaborators of Bruno Tuffin 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 Bruno Tuffin. Bruno Tuffin 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.
Fu, Michael C., et al.. (2024). Generalized likelihood ratio method for stochastic models with uniform random numbers as inputs. European Journal of Operational Research. 321(2). 493–502. 2 indexed citations
2.
Nakayama, Marvin K. & Bruno Tuffin. (2024). Sufficient Conditions for Central Limit Theorems and Confidence Intervals for Randomized Quasi-Monte Carlo Methods. ACM Transactions on Modeling and Computer Simulation. 34(3). 1–38. 1 indexed citations
3.
Simon, Gwendal, et al.. (2023). Studying Green Video Distribution as a Whole. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 7–9. 2 indexed citations
4.
L’Ecuyer, Pierre, Marvin K. Nakayama, Art B. Owen, & Bruno Tuffin. (2023). Confidence Intervals for Randomized Quasi-Monte Carlo Estimators. SPIRE - Sciences Po Institutional REpository. 445–456.
5.
Maillé, Patrick & Bruno Tuffin. (2016). Preventing competition using side payments: when non-neutrality creates barriers to entry. NETNOMICS Economic Research and Electronic Networking. 18(1). 3–22. 3 indexed citations
6.
L’Ecuyer, Pierre, Bruno Tuffin, Patrick Maillé, & Nicolás E. Stier‐Moses. (2015). Revenue-maximizing rankings for online platforms with quality-sensitive consumers. HAL (Le Centre pour la Communication Scientifique Directe). 1–29. 3 indexed citations
7.
Tuffin, Bruno, et al.. (2014). Telecommunication Network Economics. Cambridge University Press eBooks. 3 indexed citations
8.
Botev, Zdravko I., Pierre L’Ecuyer, & Bruno Tuffin. (2011). Markov chain importance sampling with applications to rare event probability estimation. Statistics and Computing. 23(2). 271–285. 39 indexed citations
9.
L’Ecuyer, Pierre & Bruno Tuffin. (2009). On the error distribution for randomly-shifted lattice rules. Winter Simulation Conference. 392–402. 1 indexed citations
10.
L’Ecuyer, Pierre & Bruno Tuffin. (2008). Approximate zero-variance simulation. Winter Simulation Conference. 170–181. 13 indexed citations
11.
Altman, Eitan, Richard Márquez, Rachid El-Azouzi, David Ros, & Bruno Tuffin. (2007). Stackelberg approach for pricing differentiated services. 23. 3 indexed citations
12.
Tuffin, Bruno, et al.. (2007). Simulation versus analytic-numeric methods: illustrative examples. 63. 9 indexed citations
13.
L’Ecuyer, Pierre, Bruno Tuffin, José Blanchet, & Peter W. Glynn. (2007). Asymptotic Robustness of Estimators in Rare-Event Simulation. HAL (Le Centre pour la Communication Scientifique Directe). 1–45. 10 indexed citations
14.
L’Ecuyer, Pierre & Bruno Tuffin. (2007). EFFECTIVE APPROXIMATION OF ZERO-VARIANCE SIMULATION IN A RELIABILITY SETTING. Les Cahiers du GERAD. 1–17. 10 indexed citations
15.
L’Ecuyer, Pierre, et al.. (2006). Splitting for rare-event simulation. Winter Simulation Conference. 137–148. 37 indexed citations
16.
Ökten, Giray, et al.. (2006). A central limit theorem and improved error bounds for a hybrid-Monte Carlo sequence with applications in computational finance. Journal of Complexity. 22(4). 435–458. 27 indexed citations
17.
Altman, Eitan, Rachid El Azouzi, David Ros, & Bruno Tuffin. (2005). Loss strategies for competing AIMD flows. Computer Networks. 50(11). 1799–1815. 4 indexed citations
18.
Tuffin, Bruno. (2004). On numerical problems in simulations of highly reliable Markovian systems. 156–164. 9 indexed citations
19.
Tuffin, Bruno. (2003). Charging the Internet Without Bandwidth Reservation: An Overview and Bibliography of Mathematical Approaches. Journal of information science and engineering. 19(5). 765–786. 34 indexed citations
20.
Tuffin, Bruno, et al.. (2000). Parallélisation d'une Combinaison des Méthodes de Monte-Carlo et Quasi-Monte-Carlo et Application aux Réseaux de Files d'Attente. RAIRO - Operations Research. 34(1). 85–98. 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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