Pascal Lezaud

483 citations
13 papers · 286 · h-index 8

Impact in

    • Markov Chains and Monte Carlo Methods
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference
    • Stochastic processes and statistical mechanics

Papers in

Pascal Lezaud

13 papers receiving 260 citations

Peers

Pascal Lezaud
Comparison fields: 5 of 64
  • Statistics and Probability 126
  • Mathematical Physics 74
  • Management Science and Operations Research 70
  • Statistics, Probability and Uncertainty 32
  • Finance 25
Replace Benoîte de Saporta with:
Benoîte de Saporta France
N. G. Ushakov Russia
Martin Jacobsen Denmark
Bert van Es Netherlands
Anatoliĭ Vladimirovich Skorokhod Russia
Gideon E. Schwarz Israel
M. I. Yadrenko Russia
Hajime Yamato Japan
M.C.A. van Zuijlen Netherlands
R. Srinivasan United States
Pascal Lezaud relative to Benoîte de Saporta France Benoîte de Saporta's profile →
Citations per field
00.5×2×2.8×
Benoîte de Saporta · 1×
Citations per year

Countries citing papers authored by Pascal Lezaud

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Lezaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Pascal Lezaud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pascal Lezaud Line = papers co-authored together Pascal Lezaud links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 199890
2
Genetic genealogical models in rare event analysis
200655
3 200134
4
Extreme Value Analysis : an Introduction
201328
5 200526
6 200617
7 200812
8 200611
9
Some recent improvements to importance splitting
20066
10 20122
11 20172
12
Airport Capacity Forecast : Short-term forecasting of runway capacity
20142
13
Sampling per mode simulation for switching diffusions
20101

About Pascal Lezaud

Pascal Lezaud is a scholar working on Statistics and Probability, Mathematical Physics, Management Science and Operations Research, Finance and Artificial Intelligence, having authored 13 papers that have together received 286 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (6 papers), Bayesian Methods and Mixture Models (5 papers), Probability and Risk Models (5 papers), Random Matrices and Applications (4 papers), Financial Risk and Volatility Modeling (3 papers), Statistical Distribution Estimation and Applications (3 papers), Aviation Industry Analysis and Trends (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Statistics and Probability (126 citations), Mathematical Physics (74 citations), Management Science and Operations Research (70 citations), Statistics, Probability and Uncertainty (32 citations) and Finance (25 citations). Pascal Lezaud has collaborated with scholars based in France and Netherlands. Frequent co-authors include Pierre Del Moral, Frédéric Cérou, François Le Gland, Myriam Garrido, F. LeGland, Arnaud Guyader and Agnès Lagnoux. Their work appears in journals such as Simulation Modelling Practice and Theory, Stochastic Processes and their Applications, The Annals of Applied Probability, ESAIM Probability and Statistics and Winter Simulation Conference.

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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