David Laidler

5.9k citations
168 papers · 2.8k · h-index 29

Impact in

Papers in

David Laidler

155 papers receiving 1.9k citations

Peers

David Laidler
Comparison fields: 5 of 81
  • General Economics, Econometrics and Finance 2.2k
  • Finance 724
  • Economics and Econometrics 2.0k
  • Accounting 130
  • General Decision Sciences 14
Replace Roy Harrod with:
Roy Harrod United States
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Nicholas Karamouzis United States
Lars Jonung Sweden
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Eugene N. White United States
Robert Z. Aliber United States
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Citations per field
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Citations per year

Countries citing papers authored by David Laidler

Since Specialization
Citations

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

Fields of papers citing papers by David Laidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Demand for Money: Theories, Evidence, and Problems
1997172
2 1972156
3 1975129
4 1984116
5 199192
6 198083
7
Fabricating the Keynesian Revolution: Studies of the Inter-war Literature on Money, the Cycle, and Unemployment
199967
8 199467
9 198363
10 198162
11 197059
12 199356
13 196653
14
The demand for money
196948
15 196646
16 198144
17 200642
18
ARE PERCEPTIONS OF INFLATION RATIONAL? SOME EVIDENCE FOR SWEDEN
198540
19 197137
20 197635

About David Laidler

David Laidler is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Political Science and International Relations and Sociology and Political Science, having authored 168 papers that have together received 2.8k indexed citations. Recurring topics across this work include Economic Theory and Policy (83 papers), Economic Theory and Institutions (41 papers), Monetary Policy and Economic Impact (39 papers), Economic theories and models (37 papers), Global Financial Crisis and Policies (26 papers), Canadian Policy and Governance (14 papers), Political Economy and Marxism (8 papers) and Fiscal Policy and Economic Growth (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (2.2k citations), Finance (724 citations), Economics and Econometrics (2.0k citations), Accounting (130 citations) and General Decision Sciences (14 citations). David Laidler has collaborated with scholars based in Canada, United Kingdom and Germany. Frequent co-authors include Hyman P. Minsky, Michael Parkin, Bruce A. Larson, David C. Webb, C. A. E. Goodhart, Lars Jonung, Bent Hansen, John Hicks, Roger J. Sandilands and Daniel Orr. Their work appears in journals such as The Economic Journal, Economica, Journal of money credit and banking, Canadian Journal of Economics/Revue canadienne d économique and European Journal of the History of Economic Thought.

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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