David Vines

2.9k citations
120 papers · 1.3k · h-index 20

Impact in

Papers in

David Vines

112 papers receiving 1.1k citations

Peers

David Vines
Comparison fields: 5 of 86
  • General Economics, Econometrics and Finance 736
  • Finance 491
  • Development 115
  • Economics and Econometrics 773
  • Modeling and Simulation 48
Replace Dennis Novy with:
Dennis Novy United Kingdom
Yothin Jinjarak United States
Κωνσταντίνος Δράκος Greece
Beatrice Weder di Mauro Switzerland
Kamal P. Upadhyaya United States
Christoph Trebesch Germany
Lars Jonung Sweden
Marcela Eslava United States
Jude C. Hays United States
Guido Lorenzoni United States
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Citations per field
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Citations per year

Countries citing papers authored by David Vines

Since Specialization
Citations

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

Fields of papers citing papers by David Vines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 199980
3 201767
4 202061
5 199254
6
Optimal Fiscal Rules in a Monetary Union
200752
7 199648
8 199048
9 199948
10 201138
11
Modelling Reality: The Need for Both Inter-temporal Optimization and Stickiness in Models for Policy-Making.
200030
12 200330
13 201326
14 202026
15 199325
16 201825
17 199924
18 198923
19
Europe, East Asia and APEC : a shared global agenda?
199820
20 202020

About David Vines

David Vines is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Political Science and International Relations and Strategy and Management, having authored 120 papers that have together received 1.3k indexed citations. Recurring topics across this work include Economic Theory and Policy (48 papers), Monetary Policy and Economic Impact (42 papers), Global Financial Crisis and Policies (40 papers), Fiscal Policies and Political Economy (22 papers), Global trade and economics (18 papers), Economic theories and models (17 papers), Fiscal Policy and Economic Growth (10 papers) and Economic Growth and Productivity (10 papers). The work is most often cited by research in General Economics, Econometrics and Finance (736 citations), Finance (491 citations), Development (115 citations), Economics and Econometrics (773 citations) and Modeling and Simulation (48 citations). David Vines has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Daniel Susskind, Samuel Wills, Warwick J. McKibbin, Christopher Allsopp, Tatiana Kirsanova, T.G. Srinivasan, Axel A. Weber, Pierre‐Richard Agénor, Marcus Miller and Simon Wren‐Lewis. Their work appears in journals such as Oxford Review of Economic Policy, The Economic Journal, Oxford Economic Papers, Review of International Economics and World Economy.

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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