Ali Laksaci

99 papers and 1.2k indexed citations i.

About

Ali Laksaci is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ali Laksaci has authored 99 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Statistics and Probability, 37 papers in Artificial Intelligence and 18 papers in Control and Systems Engineering. Recurrent topics in Ali Laksaci’s work include Statistical Methods and Inference (90 papers), Advanced Statistical Methods and Models (39 papers) and Bayesian Methods and Mixture Models (36 papers). Ali Laksaci is often cited by papers focused on Statistical Methods and Inference (90 papers), Advanced Statistical Methods and Models (39 papers) and Bayesian Methods and Mixture Models (36 papers). Ali Laksaci collaborates with scholars based in France, Algeria and Saudi Arabia. Ali Laksaci's 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 and has published in prestigious journals such as Computational Statistics & Data Analysis, PeerJ and Journal of Multivariate Analysis.

In The Last Decade

Co-authorship network of co-authors of Ali Laksaci i

Fields of papers citing papers by Ali Laksaci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Ali Laksaci

Since Specialization
Citations

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).

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.

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2025