François‐Éric Racicot
- Finance top 2%
- Economics and Econometrics top 2%
- Accounting top 10%
- General Economics, Econometrics and Finance top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Raymond ThéoretAlain CoënOlivier MeslyGreg N. GregoriouDenis CormierJean-Pierre Lévy ManginNicolas HuckImed Chkir
- Topics
- Financial Markets and Investment Strategies (42 papers)Financial Risk and Volatility Modeling (24 papers)Complex Systems and Time Series Analysis (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Banking & Finance
- Partner nations
- CanadaFranceUnited States
In The Last Decade
François‐Éric Racicot
63 papers receiving 537 citations
Peers
Comparison fields: 5 of 55
- Finance 453
- Economics and Econometrics 375
- Accounting 120
- General Economics, Econometrics and Finance 112
- Management Science and Operations Research 83
Countries citing papers authored by François‐Éric Racicot
This map shows the geographic impact of François‐Éric Racicot'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 François‐Éric Racicot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François‐Éric Racicot more than expected).
Fields of papers citing papers by François‐Éric Racicot
This network shows the impact of papers produced by François‐Éric Racicot. 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 François‐Éric Racicot. The network helps show where François‐Éric Racicot may publish in the future.
Co-authorship network of co-authors of François‐Éric Racicot
This figure shows the co-authorship network connecting the top 25 collaborators of François‐Éric Racicot. A scholar is included among the top collaborators of François‐Éric Racicot 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 François‐Éric Racicot. François‐Éric Racicot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 23 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 41 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | Modeling Hedge Fund Returns Using the Kalman Filter: An Errors-in-Variables Perspective | 2 |
| 17 | Higher Moments as Risk Instruments to Discard Errors in Variables: The Case of the Fama and French Model | 4 |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 1 |
About François‐Éric Racicot
François‐Éric Racicot is a scholar working on Finance, General Economics, Econometrics and Finance and General Decision Sciences, having authored 65 papers that have together received 577 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (42 papers), Financial Risk and Volatility Modeling (24 papers) and Complex Systems and Time Series Analysis (20 papers). The work is most often cited by research in Finance (453 citations), Economics and Econometrics (375 citations) and General Economics, Econometrics and Finance (112 citations). François‐Éric Racicot has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Raymond Théoret, Alain Coën, Olivier Mesly, Greg N. Gregoriou, Denis Cormier, Jean-Pierre Lévy Mangin, Nicolas Huck, Imed Chkir and Céline Gauthier. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Banking & Finance.
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.