Tom Waters
Impact in
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- Labor market dynamics and wage inequality
- COVID-19 Pandemic Impacts
Papers in
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- Labor market dynamics and wage inequality 4
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- Gender, Labor, and Family Dynamics 2
- Co-authors
- Robert C. Joyce (5 shared papers)Xiaowei Xu (4 shared papers)Jonathan Cribb (4 shared papers)Mónica Costa Dias (1 shared paper)Richard Blundell (1 shared paper)Hilary Williamson Hoynes (1 shared paper)Giulia Giupponi (1 shared paper)Attila Lindner (1 shared paper)
- Journals
- Public Choice (1 paper)Fiscal Studies (1 paper)Economica (1 paper)Economics Letters (1 paper)Journal of Labor Economics (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Tom Waters
12 papers receiving 102 citations
Peers
Comparison fields: 5 of 33
- General Dentistry 1
- Economics and Econometrics 35
- Health 8
- Sociology and Political Science 39
- Safety Research 9
Countries citing papers authored by Tom Waters
This map shows the geographic impact of Tom Waters'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 Tom Waters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Waters more than expected).
Fields of papers citing papers by Tom Waters
This network shows the impact of papers produced by Tom Waters. 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 Tom Waters. The network helps show where Tom Waters may publish in the future.
Co-authors
The 12 scholars most cited alongside Tom Waters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 73 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 7 | |
| 4 | TAXBEN: The IFS tax and benefit microsimulation model | 2017 | 4 |
| 5 | The labour market during the pandemic | 2021 | 4 |
| 6 | 2020 | 2 | |
| 7 | 2021 | 2 | |
| 8 | 2017 | 1 | |
| 9 | Benefit cuts set to increase child poverty, with biggest rises likely in North East and Wales | 2017 | 1 |
| 10 | Living standards and the National Living Wage | 2018 | 1 |
| 11 | Young adults well protected from increased hardship through the pandemic but a risk that many will bear scars of the recession for years to come | 2021 | 1 |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 0 |
About Tom Waters
Tom Waters is a scholar working on Economics and Econometrics, Gender Studies, Safety Research, Political Science and International Relations and Sociology and Political Science, having authored 14 papers that have together received 107 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (4 papers), Income, Poverty, and Inequality (3 papers), Gender, Labor, and Family Dynamics (2 papers), Social Policy and Reform Studies (2 papers), demographic modeling and climate adaptation (1 paper), Social impacts of COVID-19 (1 paper), Social Policies and Family (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in General Dentistry (1 citation), Economics and Econometrics (35 citations), Health (8 citations), Sociology and Political Science (39 citations) and Safety Research (9 citations). Tom Waters has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Robert C. Joyce, Xiaowei Xu, Jonathan Cribb, Mónica Costa Dias, Richard Blundell, Hilary Williamson Hoynes, Giulia Giupponi, Attila Lindner, Mike Brewer and Andrew Hood. Their work appears in journals such as Public Choice, Fiscal Studies, Economica, Economics Letters and Journal of Labor Economics.
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.