Tracy Mott
Impact in
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- Economic Theory and Policy
- Monetary Policy and Economic Impact
- Finance top 10%
- Banking stability, regulation, efficiency
- Housing, Finance, and Neoliberalism
Papers in
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- Economic Theory and Policy 11
- Monetary Policy and Economic Impact 2
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- Economic Theory and Institutions 7
- Economic theories and models 5
- Fiscal Policy and Economic Growth 2
- Economic Growth and Productivity 1
- Co-authors
- Steven M. Fazzari (1 shared paper)Hamid Baghestani (3 shared papers)Nina Shapiro (1 shared paper)
- Journals
- Review of Political Economy (2 papers)The Economic Journal (1 paper)Labour / Le Travail (1 paper)Journal of Post Keynesian Economics (5 papers)Journal of Macroeconomics (1 paper)
- Partner nations
- United States
In The Last Decade
Tracy Mott
15 papers receiving 166 citations
Peers
Comparison fields: 5 of 28
- General Economics, Econometrics and Finance 174
- Finance 76
- Economics and Econometrics 156
- Accounting 30
- Sociology and Political Science 57
Countries citing papers authored by Tracy Mott
This map shows the geographic impact of Tracy Mott'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 Tracy Mott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Mott more than expected).
Fields of papers citing papers by Tracy Mott
This network shows the impact of papers produced by Tracy Mott. 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 Tracy Mott. The network helps show where Tracy Mott may publish in the future.
Co-authors
The 3 scholars most cited alongside Tracy Mott, 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 | 1986 | 97 | |
| 2 | 1985 | 29 | |
| 3 | 2004 | 18 | |
| 4 | 1997 | 18 | |
| 5 | 1994 | 15 | |
| 6 | 1999 | 14 | |
| 7 | 2009 | 14 | |
| 8 | 1989 | 7 | |
| 9 | Kalecki's principle of increasing risk : the role of finance in the post-Keynesian theory of investment fluctuations | 1982 | 6 |
| 10 | 2000 | 6 | |
| 11 | 1988 | 6 | |
| 12 | 2015 | 3 | |
| 13 | 1992 | 3 | |
| 14 | 1988 | 3 | |
| 15 | 2000 | 1 | |
| 16 | 2000 | 0 |
About Tracy Mott
Tracy Mott is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Sociology and Political Science, Finance and Infectious Diseases, having authored 16 papers that have together received 240 indexed citations. Recurring topics across this work include Economic Theory and Policy (11 papers), Economic Theory and Institutions (7 papers), Economic theories and models (5 papers), Political Economy and Marxism (3 papers), Monetary Policy and Economic Impact (2 papers), Fiscal Policy and Economic Growth (2 papers), Global Financial Crisis and Policies (1 paper) and Economic Growth and Productivity (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (174 citations), Finance (76 citations), Economics and Econometrics (156 citations), Accounting (30 citations) and Sociology and Political Science (57 citations). Tracy Mott has collaborated with scholars based in United States. Frequent co-authors include Steven M. Fazzari, Hamid Baghestani and Nina Shapiro. Their work appears in journals such as Review of Political Economy, The Economic Journal, Labour / Le Travail, Journal of Post Keynesian Economics and Journal of Macroeconomics.
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.