Ariane Petit

2.1k citations
10 papers · 985 indexed · 2 hit papers · h-index 7

Impact in

Papers in

Ariane Petit

10 papers receiving 968 citations

Hit Papers

Effects of different types of written vaccination information on COVID-19 vaccine hesitancy in the UK (OCEANS-III): a single-blind, parallel-group, randomised controlled trial 2021 · 192 citations
1922020202620222024100200300400500

Peers

Ariane Petit
Comparison fields: 5 of 78
  • Health 798
  • Modeling and Simulation 197
  • Infectious Diseases 447
  • Sociology and Political Science 421
  • Cognitive Neuroscience 181
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Citations per field
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Citations per year

Countries citing papers authored by Ariane Petit

Since Specialization
Citations

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

Fields of papers citing papers by Ariane Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 20225
2 2021105
3 2021105
4 20218
5 20213
6 202111
7
Effects of different types of written vaccination information on COVID-19 vaccine hesitancy in the UK (OCEANS-III): a single-blind, parallel-group, randomised controlled trial
Hit paper breakdown →
2021192
8 20208
9
COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (Oceans) II
Hit paper breakdown →
2020542
10 20176

About Ariane Petit

Ariane Petit is a scholar working on Health, Experimental and Cognitive Psychology, Conservation, Toxicology and Psychiatry and Mental health, having authored 10 papers that have together received 985 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), Schizophrenia research and treatment (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Misinformation and Its Impacts (3 papers), Mental Health Research Topics (3 papers), Psychology of Moral and Emotional Judgment (1 paper), COVID-19 and Mental Health (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Health (798 citations), Modeling and Simulation (197 citations), Infectious Diseases (447 citations), Sociology and Political Science (421 citations) and Cognitive Neuroscience (181 citations). Ariane Petit has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Daniel Freeman, Felicity Waite, Sinéad Lambe, Laina Rosebrock, Bao Sheng Loe, Ly‐Mee Yu, Michael Larkin, Helen McShane, Stephan Lewandowsky and Andrew J. Pollard. Their work appears in journals such as Psychological Medicine, Schizophrenia Research, BMJ Open, Psychosomatics and The Lancet Public Health.

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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