Armando N. Meier

971 citations
15 papers · 547 indexed · 2 hit papers · h-index 9
Topics
COVID-19 epidemiological studies (5 papers)Vaccine Coverage and Hesitancy (4 papers)COVID-19 Pandemic Impacts (3 papers)
Partner nations
SwitzerlandSwedenDenmark

In The Last Decade

Armando N. Meier

13 papers receiving 537 citations

Hit Papers

Monetary incentives increase COVID-19 vaccinations20212026202220242021202150100150

Peers

Armando N. Meier
Comparison fields: 5 of 78
  • Health 233
  • Modeling and Simulation 176
  • Economics and Econometrics 150
  • Sociology and Political Science 132
  • Clinical Psychology 83
Replace Pol Campos‐Mercade with:
Pol Campos‐Mercade Denmark
Rachel Gershon United States
Egon Tripodi United Kingdom
Shane Timmons Ireland
Haewon Yoon United States
Ulugbek Aminjonov France
Dylan Pieper United States
Benjamin S. Morse United States
Steven Sylvester United States
Ellen Magenheim United States
Armando N. Meier relative to Pol Campos‐Mercade Denmark Pol Campos‐Mercade's profile →
Citations per field
00.5×
Pol Campos‐Mercade · 1×
Citations per year

Countries citing papers authored by Armando N. Meier

Since Specialization
Citations

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

Fields of papers citing papers by Armando N. Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Armando N. Meier. 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 Armando N. Meier. The network helps show where Armando N. Meier may publish in the future.

Co-authorship network of co-authors of Armando N. Meier

This figure shows the co-authorship network connecting the top 25 collaborators of Armando N. Meier. A scholar is included among the top collaborators of Armando N. Meier 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 Armando N. Meier. Armando N. Meier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 5
4 32
5 8
6 6
7 25
8
Prosociality predicts health behaviors during the COVID-19 pandemicbreakdown →
153
9 52
10
Monetary incentives increase COVID-19 vaccinationsbreakdown →
192
11 4
12 9
13 3
14 26
15 32

About Armando N. Meier

Armando N. Meier is a scholar working on General Decision Sciences, Modeling and Simulation and Health, having authored 15 papers that have together received 547 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (4 papers) and COVID-19 Pandemic Impacts (3 papers). The work is most often cited by research in Modeling and Simulation (176 citations), Health (233 citations) and General Decision Sciences (26 citations). Armando N. Meier has collaborated with scholars based in Switzerland, Sweden and Denmark. Frequent co-authors include Pol Campos‐Mercade, Erik Wengström, Florian Schneider, Devin G. Pope, Stephan Meier, Alois Stutzer, Ola Andersson, Lukas Schmid, Pascal Diethelm and Reto Auer. Their work appears in journals such as Nature, Science and Trends in Cognitive Sciences.

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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