Aurélie Lozano

About

Aurélie Lozano is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Aurélie Lozano has authored 39 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Statistics and Probability and 11 papers in Molecular Biology. Recurrent topics in Aurélie Lozano’s work include Statistical Methods and Inference (14 papers), Sparse and Compressive Sensing Techniques (10 papers) and Gene expression and cancer classification (7 papers). Aurélie Lozano is often cited by papers focused on Statistical Methods and Inference (14 papers), Sparse and Compressive Sensing Techniques (10 papers) and Gene expression and cancer classification (7 papers). Aurélie Lozano collaborates with scholars based in United States, South Korea and Italy. Aurélie Lozano's co-authors include Naoki Abe, Grzegorz Świrszcz, Yan Liu, Saharon Rosset, Eunho Yang, Aleksandr Y. Aravkin, Prabhanjan Kambadur, Lennart Ljung, Gianluigi Pillonetto and James V. Burke and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Aurélie Lozano i

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Fields of papers citing papers by Aurélie Lozano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aurélie Lozano

Since Specialization

Citations

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