Jean‐François Daoust
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 9
- Communication top 5%
- Social Media and Politics 15
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- Electoral Systems and Political Participation 31
- Political Systems and Governance 8
- Populism, Right-Wing Movements 8
- Health top 10%
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- Social Capital and Networks 6
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- COVID-19 Pandemic Impacts 6
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- Political Influence and Corporate Strategies 6
- Co-authors
- André BlaisRichard NadeauRuth DassonnevilleÉric BélangerÉrick LachapelleDieter StiersCarolina PlesciaJustin Savoie
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Jean‐François Daoust
44 papers receiving 770 citations
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 137
- Communication 150
- Political Science and International Relations 349
- Health 94
- Sociology and Political Science 318
Countries citing papers authored by Jean‐François Daoust
This map shows the geographic impact of Jean‐François Daoust'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 Jean‐François Daoust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐François Daoust more than expected).
Fields of papers citing papers by Jean‐François Daoust
This network shows the impact of papers produced by Jean‐François Daoust. 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 Jean‐François Daoust. The network helps show where Jean‐François Daoust may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐François Daoust, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 41 | |
| 11 | 2021 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 56 | |
| 14 | 2020 | 200 | |
| 15 | 2020 | 9 | |
| 16 | 2020 | 22 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 25 | |
| 19 | 2018 | 12 | |
| 20 | 2017 | 3 |
About Jean‐François Daoust
Jean‐François Daoust is a scholar working on Communication, Modeling and Simulation and Political Science and International Relations, having authored 48 papers that have together received 786 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (31 papers), Social Media and Politics (15 papers), COVID-19 epidemiological studies (9 papers), Political Systems and Governance (8 papers), Populism, Right-Wing Movements (8 papers), COVID-19 Pandemic Impacts (6 papers), Social Capital and Networks (6 papers) and Political Influence and Corporate Strategies (6 papers). The work is most often cited by research in Modeling and Simulation (137 citations), Communication (150 citations) and Political Science and International Relations (349 citations). Jean‐François Daoust has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include André Blais, Richard Nadeau, Ruth Dassonneville, Éric Bélanger, Érick Lachapelle, Dieter Stiers, Carolina Plescia, Justin Savoie, Clifton van der Linden and Vincent Arel‐Bundock. Their work appears in journals such as PLoS ONE, The Journal of Politics and Public Opinion Quarterly.
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.