Léo

2 papers and 279 indexed citations i.

About

Léo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Léo has authored 2 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computational Theory and Mathematics and 1 paper in Information Systems. Recurrent topics in Léo’s work include Data Mining Algorithms and Applications (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Rough Sets and Fuzzy Logic (1 paper). Léo is often cited by papers focused on Data Mining Algorithms and Applications (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Rough Sets and Fuzzy Logic (1 paper). Léo collaborates with scholars based in and . Léo's co-authors include  Rousseau, Jin Jin, Ronald Ronald, Liang Liang and Liming and has published in prestigious journals such as Zenodo (CERN European Organization for Nuclear Research) and 中国科学通报:英文版.

In The Last Decade

Co-authorship network of co-authors of Léo i

Fields of papers citing papers by Léo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Léo

Since Specialization
Citations

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