Pol Campos‐Mercade

861 citations
11 papers · 467 indexed · 2 hit papers · h-index 7

Pol Campos‐Mercade

10 papers receiving 457 citations

Hit Papers

Prosociality predicts health behaviors during the COVID-1...153202120262022202450100150

Peers

Pol Campos‐Mercade
Comparison fields: 5 of 71
  • Modeling and Simulation 172
  • Health 220
  • General Decision Sciences 16
  • Applied Psychology 41
  • Safety Research 54
Replace Armando N. Meier with:
Armando N. Meier Switzerland
Rachel Gershon United States
Egon Tripodi United Kingdom
Katrin Schmelz Germany
Scott Bokemper United States
Ariel Fridman United States
Dylan Pieper United States
Steven Sylvester United States
Frederik Juhl Jørgensen Denmark
Emmeke Barbara Kooistra United States
Pol Campos‐Mercade relative to Armando N. Meier Switzerland Armando N. Meier's profile →
Citations per field
00.5×1.5×
Armando N. Meier · 1×
Citations per year

Countries citing papers authored by Pol Campos‐Mercade

Since Specialization
Citations

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

Fields of papers citing papers by Pol Campos‐Mercade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pol Campos‐Mercade. 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 Pol Campos‐Mercade. The network helps show where Pol Campos‐Mercade may publish in the future.

Co-authorship network

The 8 scholars most cited alongside Pol Campos‐Mercade, 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 Pol Campos‐Mercade Line = papers co-authored together Pol Campos‐Mercade links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20240
2 20235
3 202332
4 202312
5 20226
6
Prosociality predicts health behaviors during the COVID-19 pandemicbreakdown →
2021153
7 202152
8
Monetary incentives increase COVID-19 vaccinationsbreakdown →
2021192
9 20213
10 202010
11 20202

About Pol Campos‐Mercade

Pol Campos‐Mercade is a scholar working on Modeling and Simulation, Health and Safety Research, having authored 11 papers that have together received 467 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Vaccine Coverage and Hesitancy (5 papers), Experimental Behavioral Economics Studies (3 papers), COVID-19 Pandemic Impacts (3 papers), Psychology of Moral and Emotional Judgment (3 papers), Ethics in Business and Education (2 papers), Influenza Virus Research Studies (2 papers) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Modeling and Simulation (172 citations), Health (220 citations) and General Decision Sciences (16 citations). Pol Campos‐Mercade has collaborated with scholars based in Denmark, Sweden and Switzerland. Frequent co-authors include Armando N. Meier, Erik Wengström, Florian Schneider, Devin G. Pope, Stephan Meier, Ola Andersson, Friederike Mengel and Fredrik Carlsson. Their work appears in journals such as Nature, Science and Management Science.

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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