André Peralta‐Santos

22 papers receiving 571 citations

André Peralta‐Santos's Hit Papers

The comparative politics of COVID-19: The need to understand government responses 2020 · 239 citations
2390+2+4Years since publication50100150200

Peers

André Peralta‐Santos
Comparison fields: 5 of 118
  • Modeling and Simulation 121
  • Health 72
  • Obstetrics and Gynecology 47
  • General Health Professions 133
  • Economics and Econometrics 140
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Countries citing papers authored by André Peralta‐Santos

Since Specialization
Citations

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

Fields of papers citing papers by André Peralta‐Santos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André Peralta‐Santos. 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 André Peralta‐Santos. The network helps show where André Peralta‐Santos may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The comparative politics of COVID-19: The need to understand government responses
Hit paper breakdown →
2020239
2 2021111
3 201560
4 201341
5 202140
6 202023
7 202116
8 202112
9 20229
10 20147
11 20226
12 20175
13 20185
14 20234
15 20174
16 20184
17 20233
18 20233
19 20241
20 20241

About André Peralta‐Santos

André Peralta‐Santos is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Modeling and Simulation, General Health Professions and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 596 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers), SARS-CoV-2 detection and testing (3 papers), Long-Term Effects of COVID-19 (2 papers), COVID-19 diagnosis using AI (2 papers), Medical Coding and Health Information (2 papers), COVID-19 Pandemic Impacts (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Modeling and Simulation (121 citations), Health (72 citations), Obstetrics and Gynecology (47 citations), General Health Professions (133 citations) and Economics and Econometrics (140 citations). André Peralta‐Santos has collaborated with scholars based in Portugal, United States and United Kingdom. Frequent co-authors include Elizabeth J. King, Elize Massard da Fonseca, Scott L. Greer, Henrique Martins, Paulo Freitas, Baltazar Nunes, Irina Kislaya, Ausenda Machado, Pedro Pinto Leite and Jessica C. Kiefte–de Jong. Their work appears in journals such as Eurosurveillance, European Journal of Public Health, PLoS ONE, Mathematical Geosciences and Emergency Medicine Journal.

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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