Maite Arriazu

528 citations
14 papers · 426 indexed · h-index 11
    • COVID-19 epidemiological studies 2
  • Epidemiology top 10%
    • Respiratory viral infections research 9
    • Influenza Virus Research Studies 6
    • Pneumonia and Respiratory Infections 4
    • Herpesvirus Infections and Treatments 3
  • Health top 10%
  • Microbiology top 10%
    • Bacterial Infections and Vaccines 4
  • Parasitology top 10%
    • Bartonella species infections research 1
    • SARS-CoV-2 and COVID-19 Research 1

Maite Arriazu

14 papers receiving 392 citations

Peers

Maite Arriazu
Comparison fields: 5 of 45
  • Modeling and Simulation 60
  • Epidemiology 407
  • Health 91
  • Microbiology 57
  • Parasitology 36
Replace P. Crovari with:
P. Crovari Italy
Marks Js United States
Luodan Suo China
Thorsten Rieck Germany
Eva Borrás Spain
Shuyun Xie China
Jennie Leydon Australia
Miroslav Špliňo Czechia
Yuri Pervikov Switzerland
K Osborne United Kingdom
Maite Arriazu relative to P. Crovari Italy P. Crovari's profile →
Citations per field
00.5×2.8×
P. Crovari · 1×
Citations per year

Countries citing papers authored by Maite Arriazu

Since Specialization
Citations

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

Fields of papers citing papers by Maite Arriazu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Maite Arriazu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maite Arriazu Line = papers co-authored together Maite Arriazu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201414
2 2013120
3 201332
4 201341
5 201133
6 201112
7 20112
8 201127
9 200927
10 200830
11 20083
12 200755
13 200725
14 20075

About Maite Arriazu

Maite Arriazu is a scholar working on Microbiology, Modeling and Simulation and Epidemiology, having authored 14 papers that have together received 426 indexed citations. Recurring topics across this work include Respiratory viral infections research (9 papers), Influenza Virus Research Studies (6 papers), Pneumonia and Respiratory Infections (4 papers), Bacterial Infections and Vaccines (4 papers), Herpesvirus Infections and Treatments (3 papers), COVID-19 epidemiological studies (2 papers), Bartonella species infections research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Modeling and Simulation (60 citations), Epidemiology (407 citations) and Health (91 citations). Maite Arriazu has collaborated with scholars based in Spain and United States. Frequent co-authors include Jesús Castilla, F. Irisarri, Aurelio Barricarte, Manuel Garcìa Cenoz, Víctor Martínez-Artola, Iván Martínez‐Baz, Gabriel Reina, Marcela Guevara, Carmen Ezpeleta and L. Torroba. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and BMC Public Health.

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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