Raquel Guiomar

3.2k citations
46 papers · 774 indexed · h-index 16
    • COVID-19 epidemiological studies 4
    • SARS-CoV-2 and COVID-19 Research 9
    • Viral Infections and Outbreaks Research 4
    • COVID-19 Clinical Research Studies 4
  • Biophysics top 5%
  • Epidemiology top 10%
    • Respiratory viral infections research 22
    • Influenza Virus Research Studies 19
    • Pneumonia and Respiratory Infections 5
  • Health top 10%
    • Congenital Diaphragmatic Hernia Studies 4

Raquel Guiomar

37 papers receiving 748 citations

Peers

Raquel Guiomar
Comparison fields: 5 of 105
  • Modeling and Simulation 105
  • Infectious Diseases 270
  • Biophysics 72
  • Epidemiology 375
  • Health 74
Replace Jayanthi Shastri with:
Jayanthi Shastri India
Joerg Doellinger Germany
Md. Golzar Hossain Bangladesh
Ally Olotu Kenya
Olivier Rochas France
M. Abul Faiz Bangladesh
Mark M. Fukuda Thailand
Aydar A. Ishmukhametov Russia
Tiffany G. Sheu United States
Cedric Tan United Kingdom
Raquel Guiomar relative to Jayanthi Shastri India Jayanthi Shastri's profile →
Citations per field
00.5×1.5×2.3×
Jayanthi Shastri · 1×
Citations per year

Countries citing papers authored by Raquel Guiomar

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Guiomar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Raquel Guiomar, 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 Raquel Guiomar Line = papers co-authored together Raquel Guiomar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20242
4 20242
5 20240
6 20235
7 20239
8 20232
9 2022113
10 202211
11 202219
12 20225
13 201615
14 201536
15
Vigilância da Gripe em Portugal no inverno 2012/2013
20131
16
Vírus respiratórios e gripe entre 2010 e 2013, em Portugal
20130
17 20123
18 20120
19 200673
20 20050

About Raquel Guiomar

Raquel Guiomar is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 46 papers that have together received 774 indexed citations. Recurring topics across this work include Respiratory viral infections research (22 papers), Influenza Virus Research Studies (19 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Pneumonia and Respiratory Infections (5 papers), COVID-19 epidemiological studies (4 papers), Viral Infections and Outbreaks Research (4 papers), Congenital Diaphragmatic Hernia Studies (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Modeling and Simulation (105 citations), Infectious Diseases (270 citations) and Biophysics (72 citations). Raquel Guiomar has collaborated with scholars based in Portugal, Mozambique and Sweden. Frequent co-authors include Jorge Machado, João A. Lopes, José C. Menezes, Vítor Borges, João Paulo Gomes, Pedro Pechirra, Baltazar Nunes, Joana Isidro, Sílvia Duarte and Luı́s Vieira. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

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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