Abel Brodeur
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 10
- General Decision Sciences top 5%
- Economics and Econometrics top 2%
- COVID-19 Pandemic Impacts 10
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- Meta-analysis and systematic reviews 9
- scientometrics and bibliometrics research 4
- Health top 5%
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- Employment and Welfare Studies 7
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- Advanced Causal Inference Techniques 5
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- Software Reliability and Analysis Research 2
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- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Sarah FlècheNattavudh PowdthaveeLouis‐Philippe BelandTaylor WrightAndrew E. ClarkNikolai CookAnthony HeyesMathias Lé
- Partner nations
- CanadaGermanyUnited Kingdom
In The Last Decade
Abel Brodeur
35 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Modeling and Simulation 232
- General Decision Sciences 62
- Economics and Econometrics 613
- Statistics, Probability and Uncertainty 144
- Health 145
Countries citing papers authored by Abel Brodeur
This map shows the geographic impact of Abel Brodeur'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 Abel Brodeur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abel Brodeur more than expected).
Fields of papers citing papers by Abel Brodeur
This network shows the impact of papers produced by Abel Brodeur. 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 Abel Brodeur. The network helps show where Abel Brodeur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abel Brodeur, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 2 | |
| 11 | COVID-19, Stay-at-Home Orders and Employment: Evidence from CPS Data | 2020 | 2 |
| 12 | 2020 | 45 | |
| 13 | COVID-19, lockdowns and well-being: Evidence from Google Trendsbreakdown → | 2020 | 417 |
| 14 | COVID-19, Occupation Tasks and Mental Health in Canada | 2020 | 1 |
| 15 | 2020 | 41 | |
| 16 | 2020 | 66 | |
| 17 | 2019 | 12 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 1 | |
| 20 | 2012 | 7 |
About Abel Brodeur
Abel Brodeur is a scholar working on Modeling and Simulation, Statistics, Probability and Uncertainty, Health Informatics, Statistics and Probability and Software, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), COVID-19 Pandemic Impacts (10 papers), Meta-analysis and systematic reviews (9 papers), Employment and Welfare Studies (7 papers), Advanced Causal Inference Techniques (5 papers), scientometrics and bibliometrics research (4 papers), Software Reliability and Analysis Research (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Modeling and Simulation (232 citations), General Decision Sciences (62 citations), Economics and Econometrics (613 citations), Statistics, Probability and Uncertainty (144 citations) and Health (145 citations). Abel Brodeur has collaborated with scholars based in Canada, Germany and United Kingdom. Frequent co-authors include Sarah Flèche, Nattavudh Powdthavee, Louis‐Philippe Beland, Taylor Wright, Andrew E. Clark, Nikolai Cook, Anthony Heyes, Mathias Lé, Marc Sangnier and Yanos Zylberberg. Their work appears in journals such as American Economic Review, The Economic Journal, Demography, Nature and Journal of Public Economics.
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.