Hatem Ben‐Ameur
- Finance top 5%
- Statistics and Probability top 5%
- Artificial Intelligence
- Economics and Econometrics
- Management Science and Operations Research
- Co-authors
- Imad Bou-HamadDenis LarocqueMichèle BretonPierre L’EcuyerPascal FrançoisMohamed AyadiRichard E. TremblayFrank Vitaro
- Topics
- Stochastic processes and financial applications (15 papers)Capital Investment and Risk Analysis (9 papers)Financial Markets and Investment Strategies (7 papers)
- Partner nations
- CanadaUnited StatesLebanon
In The Last Decade
Hatem Ben‐Ameur
22 papers receiving 280 citations
Peers
Comparison fields: 5 of 82
- Finance 116
- Statistics and Probability 79
- Artificial Intelligence 70
- Economics and Econometrics 58
- Management Science and Operations Research 27
Countries citing papers authored by Hatem Ben‐Ameur
This map shows the geographic impact of Hatem Ben‐Ameur'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 Hatem Ben‐Ameur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hatem Ben‐Ameur more than expected).
Fields of papers citing papers by Hatem Ben‐Ameur
This network shows the impact of papers produced by Hatem Ben‐Ameur. 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 Hatem Ben‐Ameur. The network helps show where Hatem Ben‐Ameur may publish in the future.
Co-authorship network of co-authors of Hatem Ben‐Ameur
This figure shows the co-authorship network connecting the top 25 collaborators of Hatem Ben‐Ameur. A scholar is included among the top collaborators of Hatem Ben‐Ameur 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 Hatem Ben‐Ameur. Hatem Ben‐Ameur 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 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | Luck Versus Skill in the Cross-Section of Ethical Mutual Funds | 2 |
| 8 | 3 | |
| 9 | 118 | |
| 10 | 22 | |
| 11 | Discrete-Time Survival Trees and Forests with Time-Varying Covariates: Application to Bankruptcy Data | 1 |
| 12 | 16 | |
| 13 | 5 | |
| 14 | Discrete-Time Survival Trees | 1 |
| 15 | 26 | |
| 16 | 24 | |
| 17 | Pricing Call and Put Options Embedded in Bonds | 3 |
| 18 | Pricing Installment Options with an Application to ASX Installment Warrants | 1 |
| 19 | 27 | |
| 20 | A Numerical Procedure for Pricing American-style Asian Options | 1 |
About Hatem Ben‐Ameur
Hatem Ben‐Ameur is a scholar working on Finance, Statistics and Probability and Accounting, having authored 25 papers that have together received 294 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (15 papers), Capital Investment and Risk Analysis (9 papers) and Financial Markets and Investment Strategies (7 papers). The work is most often cited by research in Finance (116 citations), Statistics and Probability (79 citations) and Numerical Analysis (14 citations). Hatem Ben‐Ameur has collaborated with scholars based in Canada, United States and Lebanon. Frequent co-authors include Imad Bou-Hamad, Denis Larocque, Michèle Breton, Pierre L’Ecuyer, Pascal François, Mohamed Ayadi, Richard E. Tremblay, Frank Vitaro, Louise C. Mâsse and Christiane Lemieux. Their work appears in journals such as Management Science, European Journal of Operational Research 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.