Kaïs Hamza
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Endocrine and Autonomic Systems top 5%
- Finance top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Fima C. KlebanerGarun S. HamiltonPhilip G. BardinKathy A. LowSimon A. JoostenKenneth K. LauPhilip J. BergerScott A. Sands
- Topics
- Stochastic processes and financial applications (22 papers)Financial Risk and Volatility Modeling (18 papers)Stochastic processes and statistical mechanics (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Kaïs Hamza
57 papers receiving 898 citations
Peers
Comparison fields: 5 of 123
- Physiology 423
- Pulmonary and Respiratory Medicine 385
- Endocrine and Autonomic Systems 147
- Finance 99
- Public Health, Environmental and Occupational Health 96
Countries citing papers authored by Kaïs Hamza
This map shows the geographic impact of Kaïs Hamza'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 Kaïs Hamza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaïs Hamza more than expected).
Fields of papers citing papers by Kaïs Hamza
This network shows the impact of papers produced by Kaïs Hamza. 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 Kaïs Hamza. The network helps show where Kaïs Hamza may publish in the future.
Co-authorship network of co-authors of Kaïs Hamza
This figure shows the co-authorship network connecting the top 25 collaborators of Kaïs Hamza. A scholar is included among the top collaborators of Kaïs Hamza 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 Kaïs Hamza. Kaïs Hamza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 39 | |
| 9 | 52 | |
| 10 | 0 | |
| 11 | Sharp Target Range Strategy for Multiperiod Portfolio Choice by Decensored Least Squares Monte Carlo | 2 |
| 12 | 23 | |
| 13 | 4 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | 70 | |
| 17 | Pricing Barrier and American Options under the SABR model on the GPU | 2 |
| 18 | 100 | |
| 19 | 102 | |
| 20 | On One Inverse Problem in Financial Mathematics | 0 |
About Kaïs Hamza
Kaïs Hamza is a scholar working on Finance, Mathematical Physics and Speech and Hearing, having authored 67 papers that have together received 922 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (22 papers), Financial Risk and Volatility Modeling (18 papers) and Stochastic processes and statistical mechanics (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (147 citations), Physiology (423 citations) and Pulmonary and Respiratory Medicine (385 citations). Kaïs Hamza has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Fima C. Klebaner, Garun S. Hamilton, Philip G. Bardin, Kathy A. Low, Simon A. Joosten, Kenneth K. Lau, Philip J. Berger, Scott A. Sands, Anthony Turton and Martin MacDonald. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Respiratory and Critical Care 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.