Larbi Alili
- Finance top 5%
- Mathematical Physics top 10%
- Management Science and Operations Research top 10%
- Statistical and Nonlinear Physics top 10%
- Statistics and Probability top 10%
- Co-authors
- Pierre PatieJesper Lund PedersenR. A. DoneyLoïc ChaumontVíctor M. Hernández RiveroL. ChaumontPiotr GraczykHiroyuki Matsumoto
- Topics
- Stochastic processes and financial applications (11 papers)Stochastic processes and statistical mechanics (9 papers)Complex Systems and Time Series Analysis (2 papers)
- Journals
- Bulletin of the London Mathematical SocietyProceedings of the American Mathematical SocietyStochastic Processes and their Applications
- Partner nations
- United KingdomFranceSwitzerland
In The Last Decade
Larbi Alili
15 papers receiving 216 citations
Peers
Comparison fields: 5 of 56
- Finance 123
- Mathematical Physics 83
- Management Science and Operations Research 47
- Statistical and Nonlinear Physics 46
- Statistics and Probability 39
Countries citing papers authored by Larbi Alili
This map shows the geographic impact of Larbi Alili'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 Larbi Alili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larbi Alili more than expected).
Fields of papers citing papers by Larbi Alili
This network shows the impact of papers produced by Larbi Alili. 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 Larbi Alili. The network helps show where Larbi Alili may publish in the future.
Co-authorship network of co-authors of Larbi Alili
This figure shows the co-authorship network connecting the top 25 collaborators of Larbi Alili. A scholar is included among the top collaborators of Larbi Alili 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 Larbi Alili. Larbi Alili 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 | 3 | |
| 3 | 1 | |
| 4 | On exponential functionals, harmonic potential measures and undershoots of subordinators | 5 |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 137 | |
| 12 | 8 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | 19 | |
| 16 | 1 |
About Larbi Alili
Larbi Alili is a scholar working on Mathematical Physics, Finance and Statistics and Probability, having authored 16 papers that have together received 230 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Stochastic processes and statistical mechanics (9 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Finance (123 citations), Mathematical Physics (83 citations) and Statistics and Probability (39 citations). Larbi Alili has collaborated with scholars based in United Kingdom, France and Switzerland. Frequent co-authors include Pierre Patie, Jesper Lund Pedersen, R. A. Doney, Loïc Chaumont, Víctor M. Hernández Rivero, L. Chaumont, Piotr Graczyk and Hiroyuki Matsumoto. Their work appears in journals such as Bulletin of the London Mathematical Society, Proceedings of the American Mathematical Society and Stochastic Processes and their Applications.
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.