Gerardo Sanz

67 papers and 407 indexed citations i.

About

Gerardo Sanz is a scholar working on Statistics and Probability, Mathematical Physics and Management Science and Operations Research. According to data from OpenAlex, Gerardo Sanz has authored 67 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 18 papers in Mathematical Physics and 16 papers in Management Science and Operations Research. Recurrent topics in Gerardo Sanz’s work include Stochastic processes and statistical mechanics (17 papers), Probability and Risk Models (13 papers) and Bayesian Methods and Mixture Models (11 papers). Gerardo Sanz is often cited by papers focused on Stochastic processes and statistical mechanics (17 papers), Probability and Risk Models (13 papers) and Bayesian Methods and Mixture Models (11 papers). Gerardo Sanz collaborates with scholars based in Spain, Chile and Saudi Arabia. Gerardo Sanz's co-authors include F. Javier López, Raúl Gouet, Luis Esteban, Ángel Borque‐Fernando, Servet Martı́nez, J. Rubio‐Briones, L.A. Rioja, Pedro Gil, Ana Calatrava and José L. Domínguez-Escrig and has published in prestigious journals such as The Journal of Urology, European Urology and BMC Cancer.

In The Last Decade

Co-authorship network of co-authors of Gerardo Sanz i

Fields of papers citing papers by Gerardo Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gerardo Sanz

Since Specialization
Citations

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