Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The behavioralist as tax collector: Using natural field experiments to enhance tax compliance
2017437 citationsMichael Hallsworth, John A. List et al.profile →
Provision of social norm feedback to high prescribers of antibiotics in general practice: a pragmatic national randomised controlled trial
2016292 citationsMichael Hallsworth, Tim Chadborn et al.The Lancetprofile →
A manifesto for applying behavioural science
202382 citationsMichael HallsworthNature Human Behaviourprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Michael Hallsworth
Since
Specialization
Citations
This map shows the geographic impact of Michael Hallsworth'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 Michael Hallsworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hallsworth more than expected).
Fields of papers citing papers by Michael Hallsworth
This network shows the impact of papers produced by Michael Hallsworth. 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 Michael Hallsworth. The network helps show where Michael Hallsworth may publish in the future.
Co-authorship network of co-authors of Michael Hallsworth
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hallsworth.
A scholar is included among the top collaborators of Michael Hallsworth 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 Michael Hallsworth. Michael Hallsworth 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.
Hallsworth, Michael. (2023). A manifesto for applying behavioural science. Nature Human Behaviour. 7(3). 310–322.82 indexed citations breakdown →
Hallsworth, Michael, et al.. (2016). Applying behavioural insights: simple ways to improve health outcomes.8 indexed citations
8.
Hallsworth, Michael, Tim Chadborn, Anna Sallis, et al.. (2016). Provision of social norm feedback to high prescribers of antibiotics in general practice: a pragmatic national randomised controlled trial. The Lancet. 387(10029). 1743–1752.292 indexed citations breakdown →
9.
Hallsworth, Michael, John A. List, Robert Metcalfe, & Ivo Vlaev. (2015). The Making of Homo Honoratus: From Omission to Commission. RePEc: Research Papers in Economics.1 indexed citations
Levitt, Ruth, et al.. (2007). Intermediate Evaluation of Directorate-General Health and Consumer Protection Non-Food Scientific Committees: Final report.1 indexed citations
18.
Hallsworth, Michael. (2006). Fearful Symmetry: A Study of William Blake. British Journal of Canadian Studies. 19(2). 344.1 indexed citations
19.
Rubin, Jennifer, Lila Rabinovich, Michael Hallsworth, & Edward Nason. (2006). Interventions to reduce anti-social behaviour and crime: A review of effectiveness and costs.12 indexed citations
20.
Hallsworth, Michael, P J Major, & N. Barnes. (2004). Where next in clinical asthma research? An innovative approach to research prioritisation. Thorax. 59. 32–33.1 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.