Alberto Mateo‐Urdiales

54 papers and 863 indexed citations i.

About

Alberto Mateo‐Urdiales is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Alberto Mateo‐Urdiales has authored 54 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Infectious Diseases, 21 papers in Modeling and Simulation and 18 papers in Health. Recurrent topics in Alberto Mateo‐Urdiales’s work include COVID-19 epidemiological studies (21 papers), COVID-19 Clinical Research Studies (19 papers) and SARS-CoV-2 and COVID-19 Research (18 papers). Alberto Mateo‐Urdiales is often cited by papers focused on COVID-19 epidemiological studies (21 papers), COVID-19 Clinical Research Studies (19 papers) and SARS-CoV-2 and COVID-19 Research (18 papers). Alberto Mateo‐Urdiales collaborates with scholars based in Italy, Sweden and United Kingdom. Alberto Mateo‐Urdiales's co-authors include Patrizio Pezzotti, Massimo Fabiani, Antonino Bella, Flavia Riccardo, Martina Del Manso, Xanthi Andrianou, Maria Fenicia Vescio, Giovanni Rezza, Maria Cristina Rota and Daniele Petrone and has published in prestigious journals such as The Lancet, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Alberto Mateo‐Urdiales i

Fields of papers citing papers by Alberto Mateo‐Urdiales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto Mateo‐Urdiales. 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 Alberto Mateo‐Urdiales. The network helps show where Alberto Mateo‐Urdiales may publish in the future.

Countries citing papers authored by Alberto Mateo‐Urdiales

Since Specialization
Citations

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