Jason W. Burton

879 total citations · 1 hit paper
9 papers, 463 citations indexed

About

Jason W. Burton is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Communication. According to data from OpenAlex, Jason W. Burton has authored 9 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 4 papers in Statistical and Nonlinear Physics and 2 papers in Communication. Recurrent topics in Jason W. Burton's work include Misinformation and Its Impacts (5 papers), Opinion Dynamics and Social Influence (4 papers) and Social Media and Politics (2 papers). Jason W. Burton is often cited by papers focused on Misinformation and Its Impacts (5 papers), Opinion Dynamics and Social Influence (4 papers) and Social Media and Politics (2 papers). Jason W. Burton collaborates with scholars based in United Kingdom, Denmark and Germany. Jason W. Burton's co-authors include Mari‐Klara Stein, Tina Blegind Jensen, Ulrike Hahn, Nicole Cruz, Adam J. L. Harris, Punit Shah, Abdullah Almaatouq, Michael Geers, Abdulla Alhajri and M. Amin Rahimian and has published in prestigious journals such as Scientific Reports, Cognition and Cognitive Science.

In The Last Decade

Jason W. Burton

8 papers receiving 450 citations

Hit Papers

A systematic review of al... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason W. Burton United Kingdom 4 198 142 120 70 68 9 463
Hasan Mahmud Bangladesh 5 124 0.6× 146 1.0× 85 0.7× 50 0.7× 33 0.5× 16 377
Hyesun Choung United States 9 154 0.8× 201 1.4× 148 1.2× 76 1.1× 35 0.5× 22 550
Kristy Milland Canada 8 100 0.5× 104 0.7× 278 2.3× 36 0.5× 28 0.4× 9 609
Fabrizio Dell’Acqua United States 5 111 0.6× 105 0.7× 74 0.6× 28 0.4× 22 0.3× 8 401
Albert E. Mannes United States 6 90 0.5× 52 0.4× 156 1.3× 44 0.6× 30 0.4× 8 489
Sean A. Dennis United States 9 71 0.4× 50 0.4× 94 0.8× 43 0.6× 31 0.5× 14 463
Aaron Schecter United States 9 55 0.3× 56 0.4× 60 0.5× 52 0.7× 18 0.3× 23 298
Peter Mantello Japan 12 108 0.5× 128 0.9× 151 1.3× 92 1.3× 60 0.9× 25 501
Hung-Yue Suen Taiwan 10 71 0.4× 71 0.5× 161 1.3× 65 0.9× 21 0.3× 22 515
Daniel Susser United States 9 165 0.8× 97 0.7× 225 1.9× 19 0.3× 89 1.3× 24 454

Countries citing papers authored by Jason W. Burton

Since Specialization
Citations

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

Fields of papers citing papers by Jason W. Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason W. Burton. 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 Jason W. Burton. The network helps show where Jason W. Burton may publish in the future.

Co-authorship network of co-authors of Jason W. Burton

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

All Works

9 of 9 papers shown
1.
Burton, Jason W., et al.. (2025). Participatory approaches should be used to address the ethics of social media experiments. Communications Psychology. 3(1). 28–28. 1 indexed citations
2.
Burton, Jason W., et al.. (2025). The governance & behavioral challenges of generative artificial intelligence’s hypercustomization capabilities. Behavioral Science & Policy. 11(1). 22–32. 1 indexed citations
3.
Burton, Jason W., et al.. (2024). Public attitudes towards social media field experiments. Scientific Reports. 14(1). 26110–26110. 2 indexed citations
4.
Burton, Jason W., Abdullah Almaatouq, M. Amin Rahimian, & Ulrike Hahn. (2024). Algorithmically mediating communication to enhance collective decision-making in online social networks. CBS Research Portal (Copenhagen Business School). 3(2).
5.
Almaatouq, Abdullah, M. Amin Rahimian, Jason W. Burton, & Abdulla Alhajri. (2022). The distribution of initial estimates moderates the effect of social influence on the wisdom of the crowd. Scientific Reports. 12(1). 16546–16546. 3 indexed citations
6.
Burton, Jason W., Adam J. L. Harris, Punit Shah, & Ulrike Hahn. (2021). Optimism where there is none: Asymmetric belief updating observed with valence-neutral life events. Cognition. 218. 104939–104939. 10 indexed citations
7.
Burton, Jason W., Nicole Cruz, & Ulrike Hahn. (2021). Reconsidering evidence of moral contagion in online social networks. Nature Human Behaviour. 5(12). 1629–1635. 26 indexed citations
8.
Burton, Jason W., Nicole Cruz, & Ulrike Hahn. (2019). How Real is Moral Contagion in Online Social Networks. Cognitive Science. 175–181. 1 indexed citations
9.
Burton, Jason W., Mari‐Klara Stein, & Tina Blegind Jensen. (2019). A systematic review of algorithm aversion in augmented decision making. Journal of Behavioral Decision Making. 33(2). 220–239. 419 indexed citations breakdown →

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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