Pierre Arwidson

2.2k citations
54 papers · 1.3k indexed · 1 hit paper · h-index 16

Pierre Arwidson

51 papers receiving 1.3k citations

Hit Papers

COVID-19 vaccine hesitancy in a representative working-ag...5672021202620222024100200300400500

Peers

Pierre Arwidson
Comparison fields: 5 of 114
  • Health 664
  • Modeling and Simulation 276
  • Infectious Diseases 400
  • Applied Psychology 65
  • Clinical Psychology 179
Replace Mohammad S Razai with:
Mohammad S Razai United Kingdom
Annie Wai-Ling Cheung Hong Kong
Teresa Gavaruzzi Italy
Lorenzo Palamenghi Italy
Sarah Eitze Germany
Noor Alshareef Saudi Arabia
Irène Vraka Greece
Giovanna Failla Italy
Ana Rita Pedro Portugal
Kavita Batra United States
Pierre Arwidson relative to Mohammad S Razai United Kingdom Mohammad S Razai's profile →
Citations per field
00.5×5.3×
Mohammad S Razai · 1×
Citations per year

Countries citing papers authored by Pierre Arwidson

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Arwidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20234
3 20235
4 20218
5 202187
6
COVID-19 vaccine hesitancy in a representative working-age population in France: a survey experiment based on vaccine characteristicsbreakdown →
2021567
7 20219
8 202122
9 202010
10 20191
11 201711
12 201710
13 201731
14 201729
15 20157
16 201419
17 20138
18 201127
19 20097
20 200619

About Pierre Arwidson

Pierre Arwidson is a scholar working on Applied Psychology, Health, Modeling and Simulation, Speech and Hearing and General Health Professions, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (10 papers), Behavioral Health and Interventions (7 papers), Vaccine Coverage and Hesitancy (7 papers), School Health and Nursing Education (6 papers), COVID-19 Pandemic Impacts (6 papers), Health Policy Implementation Science (6 papers), Substance Abuse Treatment and Outcomes (6 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Health (664 citations), Modeling and Simulation (276 citations), Infectious Diseases (400 citations), Applied Psychology (65 citations) and Clinical Psychology (179 citations). Pierre Arwidson has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include François Alla, Michaël Schwarzinger, Verity Watson, Stéphane Luchini, Romain Guignard, M Brochier, Christophe Léon, Enguerrand du Roscoät, Viêt Nguyen‐Thanh and Anne Pasquereau. Their work appears in journals such as BMJ Open, European Journal of Public Health, Addiction, JMIR mhealth and uhealth and Frontiers in Psychology.

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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