Mario Lefebvre

839 citations
115 papers · 567 · h-index 10

Impact in

Papers in

    • Stochastic processes and financial applications 38
    • Stochastic processes and statistical mechanics 14
    • advanced mathematical theories 12

Mario Lefebvre

104 papers receiving 525 citations

Peers

Mario Lefebvre
Comparison fields: 5 of 121
  • Finance 127
  • Statistics and Probability 79
  • Mathematical Physics 85
  • Statistics, Probability and Uncertainty 50
  • Modeling and Simulation 27
Replace Ramón Gutiérrez Jáimez with:
Ramón Gutiérrez Jáimez Spain
Kandethody M. Ramachandran United States
Arunabha Bagchi Netherlands
Bernard Lapeyre France
Zdravko I. Botev Canada
Kurt Helmes Germany
Pushpa N. Rathie Brazil
Rafał Kulik Canada
J. A. Bather United Kingdom
Awad El-Gohary Egypt
Mario Lefebvre relative to Ramón Gutiérrez Jáimez Spain Ramón Gutiérrez Jáimez's profile →
Citations per field
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Ramón Gutiérrez Jáimez · 1×
Citations per year

Countries citing papers authored by Mario Lefebvre

Since Specialization
Citations

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

Fields of papers citing papers by Mario Lefebvre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Mario Lefebvre, 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 Mario Lefebvre Line = papers co-authored together Mario Lefebvre links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 200738
3 198938
4 198916
5 201413
6 200711
7 200911
8 20029
9 19879
10 19719
11 20009
12 20068
13 20148
14 20088
15 19988
16 20047
17 19917
18 20126
19 20096
20 19876

About Mario Lefebvre

Mario Lefebvre is a scholar working on Finance, Mathematical Physics, Statistical and Nonlinear Physics, Statistics and Probability and Computational Theory and Mathematics, having authored 115 papers that have together received 567 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (38 papers), Hydrology and Drought Analysis (15 papers), Stochastic processes and statistical mechanics (14 papers), Hydrology and Watershed Management Studies (14 papers), advanced mathematical theories (12 papers), Advanced Mathematical Modeling in Engineering (12 papers), Advanced Queuing Theory Analysis (10 papers) and Diffusion and Search Dynamics (8 papers). The work is most often cited by research in Finance (127 citations), Statistics and Probability (79 citations), Mathematical Physics (85 citations), Statistics, Probability and Uncertainty (50 citations) and Modeling and Simulation (27 citations). Mario Lefebvre has collaborated with scholars based in Canada, France and Ivory Coast. Frequent co-authors include J. K. Platten, Lijun Bo, Jean Rousselle, Simona Perotto, Richard Labib, Ousmane Seidou and Claude Marché. Their work appears in journals such as Optimization, International Journal of Systems Science, Journal of Applied Probability, Canadian Journal of Civil Engineering and Applied Mathematical Modelling.

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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