Antoine Allard
- Statistical and Nonlinear Physics top 0.5%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 10%
- Sociology and Political Science top 10%
- Molecular Biology
- Co-authors
- Laurent Hébert‐DufresneLouis J. DubéPierre‐André NoëlSamuel V. ScarpinoVincent MarceauM. Ángeles SerranoBenjamin M. AlthouseMarián Boguñá
- Topics
- Complex Network Analysis Techniques (41 papers)Opinion Dynamics and Social Influence (23 papers)COVID-19 epidemiological studies (17 papers)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Antoine Allard
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Statistical and Nonlinear Physics 819
- Modeling and Simulation 409
- Public Health, Environmental and Occupational Health 213
- Sociology and Political Science 186
- Molecular Biology 152
Countries citing papers authored by Antoine Allard
This map shows the geographic impact of Antoine Allard'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 Antoine Allard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Allard more than expected).
Fields of papers citing papers by Antoine Allard
This network shows the impact of papers produced by Antoine Allard. 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 Antoine Allard. The network helps show where Antoine Allard may publish in the future.
Co-authorship network of co-authors of Antoine Allard
This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Allard. A scholar is included among the top collaborators of Antoine Allard 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 Antoine Allard. Antoine Allard 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 | 0 | |
| 3 | 32 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 65 | |
| 13 | 59 | |
| 14 | 7 | |
| 15 | 49 | |
| 16 | Beyond $R_0$: the importance of contact tracing when predicting epidemics | 4 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | Exact correspondence between a Markov process and propagation on networks | 1 |
| 20 | 109 |
About Antoine Allard
Antoine Allard is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Ecological Modeling, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (41 papers), Opinion Dynamics and Social Influence (23 papers) and COVID-19 epidemiological studies (17 papers). The work is most often cited by research in Modeling and Simulation (409 citations), Statistical and Nonlinear Physics (819 citations) and Infectious Diseases (146 citations). Antoine Allard has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Laurent Hébert‐Dufresne, Louis J. Dubé, Pierre‐André Noël, Samuel V. Scarpino, Vincent Marceau, M. Ángeles Serrano, Benjamin M. Althouse, Marián Boguñá, Guillermo García-Pérez and Joel C. Miller. 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.