Frederic Udina

18 papers and 347 indexed citations i.

About

Frederic Udina is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Frederic Udina has authored 18 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Management Science and Operations Research. Recurrent topics in Frederic Udina’s work include Statistical Methods and Inference (4 papers), Machine Learning and Algorithms (2 papers) and Stochastic processes and statistical mechanics (2 papers). Frederic Udina is often cited by papers focused on Statistical Methods and Inference (4 papers), Machine Learning and Algorithms (2 papers) and Stochastic processes and statistical mechanics (2 papers). Frederic Udina collaborates with scholars based in Spain, Canada and United States. Frederic Udina's co-authors include László Györfi, Gábor Lugosi, Harro Walk, Nuria Osés‐Eraso, Luc Devroye, Jeffrey S. Simonoff, András György, J. S. Marron, Cristina Pujades and Pedro Valero‐Mora and has published in prestigious journals such as PLoS ONE, Cell Reports and eLife.

In The Last Decade

Co-authorship network of co-authors of Frederic Udina i

Fields of papers citing papers by Frederic Udina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Frederic Udina

Since Specialization
Citations

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