Daniel Allington

2.1k total citations · 2 hit papers
38 papers, 1.2k citations indexed

About

Daniel Allington is a scholar working on Sociology and Political Science, Literature and Literary Theory and Artificial Intelligence. According to data from OpenAlex, Daniel Allington has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Sociology and Political Science, 10 papers in Literature and Literary Theory and 7 papers in Artificial Intelligence. Recurrent topics in Daniel Allington's work include Misinformation and Its Impacts (8 papers), Hate Speech and Cyberbullying Detection (7 papers) and Vaccine Coverage and Hesitancy (6 papers). Daniel Allington is often cited by papers focused on Misinformation and Its Impacts (8 papers), Hate Speech and Cyberbullying Detection (7 papers) and Vaccine Coverage and Hesitancy (6 papers). Daniel Allington collaborates with scholars based in United Kingdom and Portugal. Daniel Allington's co-authors include Bobby Duffy, James Henry Rubin, Simon Wessely, Joan Swann, Siobhan McAndrew, Vivienne Moxham-Hall, David Hirsh, Anna Jordanous, Byron Dueck and Tanvi Joshi and has published in prestigious journals such as Scientific Reports, Psychological Medicine and Vaccine.

In The Last Decade

Daniel Allington

37 papers receiving 1.2k citations

Hit Papers

Health-protective behaviour, social media usage and consp... 2020 2026 2022 2024 2020 2021 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Allington United Kingdom 13 774 449 205 182 173 38 1.2k
Jonathon McPhetres United States 15 1.4k 1.7× 373 0.8× 197 1.0× 227 1.2× 272 1.6× 29 1.8k
Yunhao Zhang United States 5 1.0k 1.3× 237 0.5× 132 0.6× 177 1.0× 280 1.6× 7 1.3k
Alexander Bor Denmark 14 754 1.0× 374 0.8× 50 0.2× 185 1.0× 148 0.9× 30 1.3k
Xizhu Xiao China 16 689 0.9× 363 0.8× 165 0.8× 50 0.3× 160 0.9× 36 983
Frank Renkewitz Germany 14 647 0.8× 731 1.6× 121 0.6× 49 0.3× 158 0.9× 21 1.4k
Josh Compton United States 19 1.1k 1.4× 213 0.5× 384 1.9× 102 0.6× 153 0.9× 50 1.5k
Adam Enders United States 24 1.7k 2.1× 364 0.8× 101 0.5× 98 0.5× 455 2.6× 56 1.9k
Cameron Martel United States 13 764 1.0× 143 0.3× 88 0.4× 133 0.7× 215 1.2× 22 1.0k
Daniel Jolley United Kingdom 14 2.2k 2.8× 871 1.9× 272 1.3× 235 1.3× 521 3.0× 31 2.5k
Christina E. Farhart United States 10 878 1.1× 227 0.5× 59 0.3× 60 0.3× 228 1.3× 19 1.0k

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-authorship network of co-authors of Daniel Allington

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

All Works

20 of 20 papers shown
1.
Allington, Daniel, et al.. (2023). Correlation between coronavirus conspiracism and antisemitism: a cross-sectional study in the United Kingdom. Scientific Reports. 13(1). 21104–21104. 2 indexed citations
2.
Allington, Daniel, et al.. (2023). Antisemitism is predicted by anti-hierarchical aggression, totalitarianism, and belief in malevolent global conspiracies. Humanities and Social Sciences Communications. 10(1). 8 indexed citations
3.
Allington, Daniel, et al.. (2022). The Generalised Antisemitism (GeAs) Scale: A Questionnaire Instrument for Measuring Antisemitism as Expressed in Relation Both to Jews and to Israel. Goldsmiths (University of London). 5(1). 37–48. 4 indexed citations
4.
Allington, Daniel, Siobhan McAndrew, Bobby Duffy, & Vivienne Moxham-Hall. (2022). Trust and experiences of National Health Service healthcare do not fully explain demographic disparities in coronavirus vaccination uptake in the UK: a cross-sectional study. BMJ Open. 12(3). e053827–e053827. 5 indexed citations
5.
Allington, Daniel, et al.. (2022). The Generalized Antisemitism (GeAs) Scale: Validity and Factor Structure. 5(2). 1–28. 3 indexed citations
6.
Allington, Daniel, Siobhan McAndrew, Vivienne Moxham-Hall, & Bobby Duffy. (2021). Coronavirus conspiracy suspicions, general vaccine attitudes, trust and coronavirus information source as predictors of vaccine hesitancy among UK residents during the COVID-19 pandemic. Psychological Medicine. 53(1). 236–247. 188 indexed citations breakdown →
7.
Allington, Daniel, Siobhan McAndrew, Vivienne Moxham-Hall, & Bobby Duffy. (2021). Media usage predicts intention to be vaccinated against SARS-CoV-2 in the US and the UK. Vaccine. 39(18). 2595–2603. 47 indexed citations
8.
Allington, Daniel. (2020). Judeophobic Antisemitism among British Voters, 2016-2020. Research Portal (King's College London). 3(2). 31–38. 1 indexed citations
9.
Allington, Daniel, et al.. (2020). Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine. 51(10). 1763–1769. 613 indexed citations breakdown →
10.
Allington, Daniel, et al.. (2020). The relationship between conspiracy beliefs and compliance with public health guidance with regard to COVID-19. Research Portal (King's College London). 35 indexed citations
11.
Allington, Daniel, et al.. (2020). Antisemitic conspiracy fantasy in the age of digital media: Three ‘conspiracy theorists’ and their YouTube audiences. Language and Literature International Journal of Stylistics. 30(1). 78–102. 16 indexed citations
12.
Allington, Daniel, et al.. (2019). The Book in Britain.
14.
Allington, Daniel & Stephen Pihlaja. (2016). Reading in the age of the internet. Language and Literature International Journal of Stylistics. 25(3). 201–210. 9 indexed citations
15.
Jordanous, Anna, Daniel Allington, & Byron Dueck. (2015). Measuring cultural value using social network analysis: a case study on valuing electronic musicians. Kent Academic Repository (University of Kent). 110–117. 7 indexed citations
17.
Allington, Daniel, et al.. (2012). Communicating in English : talk, text, technology. Routledge eBooks. 1 indexed citations
19.
Swann, Joan & Daniel Allington. (2009). Reading groups and the language of literary texts: a case study in social reading. Language and Literature International Journal of Stylistics. 18(3). 247–264. 76 indexed citations
20.
Allington, Daniel. (2008). How to Do Things with Literature: Blasphemous Speech Acts, Satanic Intentions, and the Uncommunicativeness of Verses. Poetics Today. 29(3). 473–523. 4 indexed citations

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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