Laurent Hébert‐Dufresne
- Statistical and Nonlinear Physics top 1%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Sociology and Political Science top 5%
- Infectious Diseases top 10%
- Co-authors
- Antoine AllardBenjamin M. AlthouseLouis J. DubéSamuel V. ScarpinoPierre‐André NoëlVincent MarceauZoe M. F. BrierMatthew Price
- Topics
- Complex Network Analysis Techniques (42 papers)COVID-19 epidemiological studies (33 papers)Opinion Dynamics and Social Influence (23 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Laurent Hébert‐Dufresne
83 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 137
- Statistical and Nonlinear Physics 719
- Modeling and Simulation 615
- Public Health, Environmental and Occupational Health 302
- Sociology and Political Science 281
- Infectious Diseases 225
Countries citing papers authored by Laurent Hébert‐Dufresne
This map shows the geographic impact of Laurent Hébert‐Dufresne'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 Laurent Hébert‐Dufresne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Hébert‐Dufresne more than expected).
Fields of papers citing papers by Laurent Hébert‐Dufresne
This network shows the impact of papers produced by Laurent Hébert‐Dufresne. 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 Laurent Hébert‐Dufresne. The network helps show where Laurent Hébert‐Dufresne may publish in the future.
Co-authorship network of co-authors of Laurent Hébert‐Dufresne
This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Hébert‐Dufresne. A scholar is included among the top collaborators of Laurent Hébert‐Dufresne 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 Laurent Hébert‐Dufresne. Laurent Hébert‐Dufresne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 65 | |
| 8 | 2 | |
| 9 | 98 | |
| 10 | 9 | |
| 11 | 42 | |
| 12 | 49 | |
| 13 | Beyond $R_0$: the importance of contact tracing when predicting epidemics | 4 |
| 14 | 1 | |
| 15 | Dynamics of beneficial epidemics | 8 |
| 16 | 3 | |
| 17 | 26 | |
| 18 | 12 | |
| 19 | Exact correspondence between a Markov process and propagation on networks | 1 |
| 20 | 109 |
About Laurent Hébert‐Dufresne
Laurent Hébert‐Dufresne is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Mathematical Physics, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (42 papers), COVID-19 epidemiological studies (33 papers) and Opinion Dynamics and Social Influence (23 papers). The work is most often cited by research in Modeling and Simulation (615 citations), Statistical and Nonlinear Physics (719 citations) and Infectious Diseases (225 citations). Laurent Hébert‐Dufresne has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Antoine Allard, Benjamin M. Althouse, Louis J. Dubé, Samuel V. Scarpino, Pierre‐André Noël, Vincent Marceau, Zoe M. F. Brier, Matthew Price, Alison C. Legrand and Guillaume St-Onge. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Medicine.
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.