Ali Laksaci
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 89
- Advanced Statistical Methods and Models 38
- Statistical Methods and Bayesian Inference 16
- Finance top 5%
- Financial Risk and Volatility Modeling 16
- Artificial Intelligence top 2%
- Bayesian Methods and Mixture Models 35
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- Advanced Statistical Process Monitoring 7
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- Control Systems and Identification 17
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- Spatial and Panel Data Analysis 9
- Co-authors
- Philippe VieuFrédéric FerratyMustapha RachdiJacques DemongeotSalim BouzebdaIbrahim M. AlmanjahieElias Ould-Saı̈dSophie Dabo‐Niang
- Journals
- SHILAP Revista de lepidopterología (1 paper)Computational Statistics & Data Analysis (1 paper)PeerJ (1 paper)
- Partner nations
- FranceAlgeriaSaudi Arabia
In The Last Decade
Ali Laksaci
89 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 68
- Statistics and Probability 1.1k
- Finance 212
- Artificial Intelligence 525
- Statistics, Probability and Uncertainty 83
- Management Science and Operations Research 108
Countries citing papers authored by Ali Laksaci
This map shows the geographic impact of Ali Laksaci'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 Ali Laksaci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Laksaci more than expected).
Fields of papers citing papers by Ali Laksaci
This network shows the impact of papers produced by Ali Laksaci. 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 Ali Laksaci. The network helps show where Ali Laksaci may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Ali Laksaci, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 11 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 15 | |
| 19 | 2018 | 16 | |
| 20 | 2016 | 58 |
About Ali Laksaci
Ali Laksaci is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (89 papers), Advanced Statistical Methods and Models (38 papers), Bayesian Methods and Mixture Models (35 papers), Control Systems and Identification (17 papers), Statistical Methods and Bayesian Inference (16 papers), Financial Risk and Volatility Modeling (16 papers), Spatial and Panel Data Analysis (9 papers) and Advanced Statistical Process Monitoring (7 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Finance (212 citations) and Artificial Intelligence (525 citations). Ali Laksaci has collaborated with scholars based in France, Algeria and Saudi Arabia. Frequent co-authors include Philippe Vieu, Frédéric Ferraty, Mustapha Rachdi, Jacques Demongeot, Salim Bouzebda, Ibrahim M. Almanjahie, Elias Ould-Saı̈d, Sophie Dabo‐Niang, Christophe Crambes and Ali Hamié. Their work appears in journals such as SHILAP Revista de lepidopterología, Computational Statistics & Data Analysis and PeerJ.
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.