Fernando Argento

15 papers receiving 106 citations

Peers

Fernando Argento
Comparison fields: 5 of 41
  • Obstetrics and Gynecology 71
  • Health 16
  • Medical Laboratory Technology 2
  • Infectious Diseases 22
  • Pediatrics, Perinatology and Child Health 23
Replace Giulia Zamagni with:
Giulia Zamagni Italy
Gian Carlo Di Renzo Italy
Chamnan Tanprasertkul Thailand
J. Mattern France
Thomas Birch United States
Jessica N. Ricaldi United States
Mohd Andalas Indonesia
Megan Cohen United States
Ryan Roper United States
Rasha Khoury United States
Fernando Argento relative to Giulia Zamagni Italy Giulia Zamagni's profile →
Citations per field
00.5×1.5×
Giulia Zamagni · 1×
Citations per year

Countries citing papers authored by Fernando Argento

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Argento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202163
2 202413
3 20227
4 20236
5 20226
6 20242
7 20202
8 20192
9 20222
10 20212
11 20251
12 20241
13
Parámetros esenciales para utilizar en modelos epidemiológicos de COVID-19 en Argentina: una revisión rápida.
20211
14 20241
15 20251
16 20240
17 20250
18 20240
19 20250

About Fernando Argento

Fernando Argento is a scholar working on Economics and Econometrics, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology, Infectious Diseases and Surgery, having authored 19 papers that have together received 110 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), COVID-19 Impact on Reproduction (4 papers), Economic and Financial Impacts of Cancer (2 papers), Quality and Safety in Healthcare (2 papers), Vaccine Coverage and Hesitancy (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pregnancy and Medication Impact (2 papers) and Spinal Cord Injury Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (71 citations), Health (16 citations), Medical Laboratory Technology (2 citations), Infectious Diseases (22 citations) and Pediatrics, Perinatology and Child Health (23 citations). Fernando Argento has collaborated with scholars based in Argentina, United Kingdom and United States. Frequent co-authors include Ariel Bardach, Agustín Ciapponi, Pierre Buekens, Mabel Berrueta, Daniel Comandé, Federico Rodríguez Cairoli, Xu Xiong, Natalia Zamora, Agustina Mazzoni and Sabra Zaraa. Their work appears in journals such as Value in Health, Value in Health Regional Issues, The Pediatric Infectious Disease Journal, Cost Effectiveness and Resource Allocation and Infectious Diseases and Therapy.

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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