Evarist Giné

78 papers and 3.6k indexed citations i.

About

Evarist Giné is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Evarist Giné has authored 78 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 25 papers in Finance and 19 papers in Artificial Intelligence. Recurrent topics in Evarist Giné’s work include Statistical Methods and Inference (38 papers), Stochastic processes and financial applications (18 papers) and Bayesian Methods and Mixture Models (16 papers). Evarist Giné is often cited by papers focused on Statistical Methods and Inference (38 papers), Stochastic processes and financial applications (18 papers) and Bayesian Methods and Mixture Models (16 papers). Evarist Giné collaborates with scholars based in United States, United Kingdom and Spain. Evarist Giné's co-authors include Joel Zinn, Richard Nickl, Miguel A. Arcones, David M. Mason, David Aldous, A. Araujo, Vladimir Koltchinskii, Victor de la Peña, Eustasio del Barrio and Friedrich Götze and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Evarist Giné i

Fields of papers citing papers by Evarist Giné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Evarist Giné

Since Specialization
Citations

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