Daniel Gervini

25 papers and 554 indexed citations i.

About

Daniel Gervini is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Daniel Gervini has authored 25 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 8 papers in Statistics, Probability and Uncertainty and 7 papers in Artificial Intelligence. Recurrent topics in Daniel Gervini’s work include Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (14 papers) and Advanced Statistical Process Monitoring (8 papers). Daniel Gervini is often cited by papers focused on Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (14 papers) and Advanced Statistical Process Monitoring (8 papers). Daniel Gervini collaborates with scholars based in United States, Switzerland and Argentina. Daniel Gervini's co-authors include Vı́ctor J. Yohai, Théo Gasser, Valentin Rousson and Patrick A. Carter and has published in prestigious journals such as Technometrics, Biometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Daniel Gervini i

Fields of papers citing papers by Daniel Gervini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Gervini

Since Specialization
Citations

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