Alberto Mateo‐Urdiales

2.6k total citations
63 papers, 976 citations indexed

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 63 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Infectious Diseases, 22 papers in Modeling and Simulation and 20 papers in Health. Recurrent topics in Alberto Mateo‐Urdiales's work include COVID-19 epidemiological studies (22 papers), SARS-CoV-2 and COVID-19 Research (20 papers) and COVID-19 Clinical Research Studies (20 papers). Alberto Mateo‐Urdiales is often cited by papers focused on COVID-19 epidemiological studies (22 papers), SARS-CoV-2 and COVID-19 Research (20 papers) and COVID-19 Clinical Research Studies (20 papers). Alberto Mateo‐Urdiales collaborates with scholars based in Italy, Sweden and United States. Alberto Mateo‐Urdiales's co-authors include Patrizio Pezzotti, Flavia Riccardo, Antonino Bella, Massimo Fabiani, Martina Del Manso, Maria Fenicia Vescio, Xanthi Andrianou, Giovanni Rezza, Maria Cristina Rota and Christopher Birt and has published in prestigious journals such as The Lancet, Nature Communications and PLoS ONE.

In The Last Decade

Alberto Mateo‐Urdiales

54 papers receiving 958 citations

Peers

Alberto Mateo‐Urdiales
Comparison fields: 5 of 106
  • Infectious Diseases 539
  • Health 246
  • Modeling and Simulation 211
  • Oncology 131
  • Clinical Psychology 127
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Waasila Jassat South Africa
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Citations per field, relative to Alberto Mateo‐Urdiales
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Citations per year, relative to Alberto Mateo‐Urdiales
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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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Mateo‐Urdiales. A scholar is included among the top collaborators of Alberto Mateo‐Urdiales based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alberto Mateo‐Urdiales. Alberto Mateo‐Urdiales is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 2
5 0
6 2
7 29
8 0
9 1
10 18
11 1
12 19
13 46
14
Effectiveness of regional restrictions in reducing SARS-CoV-2 transmission during the second wave of COVID-19, Italy
5
15 13
16 20
17 125
18 40
19
Somos más.: Álbumes ilustrados
0
20
Antes y después...
0

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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