Jonathan Shaw

27 papers receiving 394 citations

Peers

Jonathan Shaw
Comparison fields: 5 of 82
  • Gender Studies 141
  • Accounting 81
  • Economics and Econometrics 155
  • Demography 56
  • Cognitive Neuroscience 64
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Emma von Essen Sweden
Barbara Neubach Germany
Astri Drange Hole Norway
Lorenz Götte Switzerland
Frédéric Schneider United Kingdom
P. Dorian Owen New Zealand
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Citations per year

Countries citing papers authored by Jonathan Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016174
2 201591
3 202127
4
A new deal for transport? The UK's struggle with the sustainable transport agenda
200320
5 200611
6 201110
7 20199
8 20219
9 20157
10 20136
11 20176
12 20136
13 20166
14 20175
15 19903
16
Unifying perception and curiosity
20063
17 20203
18
Eradicating child poverty
20072
19
Estimating ethnic parity in Jobcentre Plus programmes: a quantitative analysis using the Work and Pensions Longitudinal Study (WPLS)
20082
20 20132

About Jonathan Shaw

Jonathan Shaw is a scholar working on Economics and Econometrics, Sociology and Political Science, Accounting, Gender Studies and Demography, having authored 32 papers that have together received 413 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (5 papers), Gender, Labor, and Family Dynamics (5 papers), Financial Literacy, Pension, Retirement Analysis (4 papers), Museums and Cultural Heritage (3 papers), Retirement, Disability, and Employment (3 papers), Digital and Traditional Archives Management (2 papers), Transport and Economic Policies (2 papers) and Library Science and Administration (2 papers). The work is most often cited by research in Gender Studies (141 citations), Accounting (81 citations), Economics and Econometrics (155 citations), Demography (56 citations) and Cognitive Neuroscience (64 citations). Jonathan Shaw has collaborated with scholars based in United Kingdom, United States and Pakistan. Frequent co-authors include Richard Blundell, Mónica Costa Dias, Costas Meghir, Iain Docherty, Arun Advani, Peter Levell, Lorraine Dearden, Barra Roantree, Alice Mesnard and Christopher Rauh. Their work appears in journals such as Fiscal Studies, Past & Present, International Tax and Public Finance, The Review of Economics and Statistics and Economica.

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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