I. del Puerto

About

I. del Puerto is a scholar working on Mathematical Physics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, I. del Puerto has authored 38 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mathematical Physics, 15 papers in Statistics and Probability and 11 papers in Artificial Intelligence. Recurrent topics in I. del Puerto’s work include Stochastic processes and statistical mechanics (31 papers), Bayesian Methods and Mixture Models (11 papers) and Markov Chains and Monte Carlo Methods (8 papers). I. del Puerto is often cited by papers focused on Stochastic processes and statistical mechanics (31 papers), Bayesian Methods and Mixture Models (11 papers) and Markov Chains and Monte Carlo Methods (8 papers). I. del Puerto collaborates with scholars based in Spain, United States and Italy. I. del Puerto's co-authors include Miguel González, Manuel Molina, Rodrigo Martínez, Manuel Mota, Alfonso Ramos, P. Gaspar, Carlos Díaz‐Caro, M. Escribano, Alberto Ortíz and David Tejerina and has published in prestigious journals such as PLoS ONE, Movement Disorders and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of I. del Puerto i

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Fields of papers citing papers by I. del Puerto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. del Puerto. 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 I. del Puerto. The network helps show where I. del Puerto may publish in the future.

Countries citing papers authored by I. del Puerto

Since Specialization

Citations

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