Liliana Forzani

68 papers and 853 indexed citations i.

About

Liliana Forzani is a scholar working on Statistics and Probability, Applied Mathematics and Artificial Intelligence. According to data from OpenAlex, Liliana Forzani has authored 68 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 24 papers in Applied Mathematics and 12 papers in Artificial Intelligence. Recurrent topics in Liliana Forzani’s work include Statistical Methods and Inference (22 papers), Advanced Harmonic Analysis Research (14 papers) and Advanced Statistical Methods and Models (13 papers). Liliana Forzani is often cited by papers focused on Statistical Methods and Inference (22 papers), Advanced Harmonic Analysis Research (14 papers) and Advanced Statistical Methods and Models (13 papers). Liliana Forzani collaborates with scholars based in Argentina, United States and Italy. Liliana Forzani's co-authors include R. Dennis Cook, Hugo Aimar, Diego Maldonado, Efstathia Bura, F. J. Martín-Reyes, Gabriel Vinderola, Jorge Reinheimer, Zhihua Su, Xin Zhang and Ruth M. Pfeiffer and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Liliana Forzani i

Fields of papers citing papers by Liliana Forzani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liliana Forzani

Since Specialization
Citations

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