Nadia Ghazzali

10 papers and 1.7k indexed citations i.

About

Nadia Ghazzali is a scholar working on Statistics and Probability, Artificial Intelligence and Genetics. According to data from OpenAlex, Nadia Ghazzali has authored 10 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Artificial Intelligence and 2 papers in Genetics. Recurrent topics in Nadia Ghazzali’s work include Statistical Methods and Inference (3 papers), Statistical Distribution Estimation and Applications (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Nadia Ghazzali is often cited by papers focused on Statistical Methods and Inference (3 papers), Statistical Distribution Estimation and Applications (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Nadia Ghazzali collaborates with scholars based in Canada. Nadia Ghazzali's co-authors include Véronique Boiteau, Malika Charrad, Marie‐Hélène Roy‐Gagnon, Michel Maziade, Stéphane Germain, Louis‐Paul Rivest, Pierrette Boutin, Belkacem Abdous, Marc Parizeau and Peter Szatmari and has published in prestigious journals such as The Astrophysical Journal, Pattern Recognition and Journal of Statistical Software.

In The Last Decade

Co-authorship network of co-authors of Nadia Ghazzali i

Fields of papers citing papers by Nadia Ghazzali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Ghazzali. 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 Nadia Ghazzali. The network helps show where Nadia Ghazzali may publish in the future.

Countries citing papers authored by Nadia Ghazzali

Since Specialization
Citations

This map shows the geographic impact of Nadia Ghazzali'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 Nadia Ghazzali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Ghazzali 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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