Leandro Pardo

193 papers and 2.1k indexed citations i.

About

Leandro Pardo is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Leandro Pardo has authored 193 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Statistics and Probability, 38 papers in Artificial Intelligence and 38 papers in Statistics, Probability and Uncertainty. Recurrent topics in Leandro Pardo’s work include Advanced Statistical Methods and Models (132 papers), Statistical Methods and Inference (89 papers) and Statistical Distribution Estimation and Applications (56 papers). Leandro Pardo is often cited by papers focused on Advanced Statistical Methods and Models (132 papers), Statistical Methods and Inference (89 papers) and Statistical Distribution Estimation and Applications (56 papers). Leandro Pardo collaborates with scholars based in Spain, India and Greece. Leandro Pardo's co-authors include Domingo Morales, M. Menéndez, Nirian Martín, Igor Vajda, María del Carmen Pardo, J.A. Pardo, Miquel Salicrú, Ayanendranath Basu, Abhijit Mandal and Abhik Ghosh and has published in prestigious journals such as Biometrics, IEEE Transactions on Information Theory and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of Leandro Pardo i

Fields of papers citing papers by Leandro Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leandro Pardo

Since Specialization
Citations

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