Nick Bloom
Impact in
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- Global trade and economics
- Economics and Econometrics top 1%
- Firm Innovation and Growth
- Economic Growth and Productivity
- Innovation Policy and R&D
- Merger and Competition Analysis
- Energy, Environment, Economic Growth
Papers in
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- Labor market dynamics and wage inequality 1
- German Economic Analysis & Policies 1
- Economic theories and models 1
- Economic Growth and Productivity 1
- Firm Innovation and Growth 1
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- Monetary Policy and Economic Impact 2
- Economic, financial, and policy analysis 1
- Co-authors
- Richard Blundell (1 shared paper)Peter Howitt (1 shared paper)Rachel Griffith (1 shared paper)Philippe Aghion (1 shared paper)Gertjan W. Vlieghe (2 shared papers)Steven J. Davis (1 shared paper)Jose Maria Barrero (1 shared paper)Alexander Klemm (2 shared papers)
- Journals
- The Quarterly Journal of Economics (1 paper)SocArXiv (OSF Preprints) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Nick Bloom
4 papers receiving 1.2k citations
Nick Bloom's Hit Papers
Peers
Comparison fields: 5 of 65
- General Economics, Econometrics and Finance 300
- Economics and Econometrics 904
- Accounting 328
- Strategy and Management 377
- Management of Technology and Innovation 123
Countries citing papers authored by Nick Bloom
This map shows the geographic impact of Nick Bloom'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 Nick Bloom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Bloom more than expected).
Fields of papers citing papers by Nick Bloom
This network shows the impact of papers produced by Nick Bloom. 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 Nick Bloom. The network helps show where Nick Bloom may publish in the future.
Co-authors
The 8 scholars most cited alongside Nick Bloom, 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 | Competition and Innovation: An Inverted-U Relationship* Hit paper breakdown → | 2005 | 1245 |
| 2 | 2020 | 6 | |
| 3 | Technical Appendix: Using Company Accounts data from Datastream 1 | 2004 | 3 |
| 4 | Technical Appendix: Working with IBES forecast data 1 | 2004 | 3 |
About Nick Bloom
Nick Bloom is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Management Science and Operations Research, General Health Professions and Infectious Diseases, having authored 4 papers that have together received 1.3k indexed citations. Recurring topics across this work include demographic modeling and climate adaptation (2 papers), Monetary Policy and Economic Impact (2 papers), Labor market dynamics and wage inequality (1 paper), German Economic Analysis & Policies (1 paper), Economic theories and models (1 paper), Economic Growth and Productivity (1 paper), Firm Innovation and Growth (1 paper) and Economic, financial, and policy analysis (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (300 citations), Economics and Econometrics (904 citations), Accounting (328 citations), Strategy and Management (377 citations) and Management of Technology and Innovation (123 citations). Nick Bloom has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Richard Blundell, Peter Howitt, Rachel Griffith, Philippe Aghion, Gertjan W. Vlieghe, Steven J. Davis, Jose Maria Barrero and Alexander Klemm. Their work appears in journals such as The Quarterly Journal of Economics and SocArXiv (OSF Preprints).
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.