Daniel Allington

2.1k citations
38 papers · 1.2k · 2 hit papers · h-index 13

Impact in

Papers in

Daniel Allington

37 papers receiving 1.2k citations

Daniel Allington's Hit Papers

Coronavirus conspiracy suspicions, general vaccine attitudes, trust and coronavirus information source as predictors of vaccine hesitancy among UK residents during the COVID-19 pandemic 2021 · 188 citations
1880+2+4Years since publication200400600

Peers

Daniel Allington
Comparison fields: 5 of 103
  • Health 449
  • Communication 159
  • Modeling and Simulation 96
  • Literature and Literary Theory 205
  • Sociology and Political Science 774
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Countries citing papers authored by Daniel Allington

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Allington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daniel Allington, 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 Daniel Allington Line = papers co-authored together Daniel Allington links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency
Hit paper breakdown →
2020613
2
Coronavirus conspiracy suspicions, general vaccine attitudes, trust and coronavirus information source as predictors of vaccine hesitancy among UK residents during the COVID-19 pandemic
Hit paper breakdown →
2021188
3 200976
4 200954
5 202147
6
The relationship between conspiracy beliefs and compliance with public health guidance with regard to COVID-19
202035
7 200721
8 201519
9 201116
10 202016
11 202014
12 201613
13 200613
14 201811
15 201911
16 20169
17 20119
18 20129
19 20238
20
Measuring cultural value using social network analysis: a case study on valuing electronic musicians
20157

About Daniel Allington

Daniel Allington is a scholar working on Sociology and Political Science, Literature and Literary Theory, Artificial Intelligence, Experimental and Cognitive Psychology and Health, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (8 papers), Hate Speech and Cyberbullying Detection (7 papers), Vaccine Coverage and Hesitancy (6 papers), Discourse Analysis in Language Studies (6 papers), Language, Metaphor, and Cognition (5 papers), Social and Cultural Dynamics (5 papers), Jewish and Middle Eastern Studies (5 papers) and Digital Games and Media (4 papers). The work is most often cited by research in Health (449 citations), Communication (159 citations), Modeling and Simulation (96 citations), Literature and Literary Theory (205 citations) and Sociology and Political Science (774 citations). Daniel Allington has collaborated with scholars based in United Kingdom and Portugal. Frequent co-authors include Bobby Duffy, Simon Wessely, James Henry Rubin, Joan Swann, Siobhan McAndrew, Vivienne Moxham-Hall, David Hirsh, Anna Jordanous, Byron Dueck and Tanvi Joshi. Their work appears in journals such as Language and Literature International Journal of Stylistics, Psychological Medicine, Scientific Reports, BMJ Open and Social Semiotics.

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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