Peter Macmillan
Impact in
-
- Monetary Policy and Economic Impact
- Finance top 5%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
Papers in
-
- Market Dynamics and Volatility 5
- Fiscal Policies and Political Economy 3
- Housing Market and Economics 2
-
- Monetary Policy and Economic Impact 9
- Economic, financial, and policy analysis 3
- Co-authors
- Andreas Humpe (3 shared papers)Eric J. Levin (1 shared paper)Robert E. Wright (1 shared paper)Dipak Ghosh (1 shared paper)Ian Smith (2 shared papers)Ronald MacDonald (1 shared paper)David Cobham (3 shared papers)Charles R. Nolan (2 shared papers)
- Journals
- The Economic Journal (1 paper)Journal of Policy Modeling (1 paper)Journal of Cultural Economics (1 paper)Journal of Sports Economics (1 paper)Open Economies Review (1 paper)
- Partner nations
- United KingdomCanadaFrance
In The Last Decade
Peter Macmillan
13 papers receiving 539 citations
Peers
Comparison fields: 5 of 55
- General Economics, Econometrics and Finance 329
- Finance 241
- Economics and Econometrics 523
- General Energy 7
- Accounting 71
Countries citing papers authored by Peter Macmillan
This map shows the geographic impact of Peter Macmillan'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 Peter Macmillan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Macmillan more than expected).
Fields of papers citing papers by Peter Macmillan
This network shows the impact of papers produced by Peter Macmillan. 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 Peter Macmillan. The network helps show where Peter Macmillan may publish in the future.
Co-authors
The 11 scholars most cited alongside Peter Macmillan, 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 | 2008 | 221 | |
| 2 | 2004 | 200 | |
| 3 | 2007 | 74 | |
| 4 | 2007 | 48 | |
| 5 | 2001 | 33 | |
| 6 | 1994 | 22 | |
| 7 | 2007 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2004 | 5 | |
| 10 | Non-Linear Predictability of Stock Market Returns: Comparative Evidence from Japan and the US | 2015 | 3 |
| 11 | 2002 | 3 | |
| 12 | 2006 | 1 | |
| 13 | 2022 | 1 |
About Peter Macmillan
Peter Macmillan is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Urban Studies and Management Science and Operations Research, having authored 13 papers that have together received 624 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (9 papers), Market Dynamics and Volatility (5 papers), Financial Markets and Investment Strategies (3 papers), Fiscal Policies and Political Economy (3 papers), Economic, financial, and policy analysis (3 papers), Housing Market and Economics (2 papers), Global Financial Crisis and Policies (2 papers) and Art History and Market Analysis (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (329 citations), Finance (241 citations), Economics and Econometrics (523 citations), General Energy (7 citations) and Accounting (71 citations). Peter Macmillan has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Andreas Humpe, Eric J. Levin, Robert E. Wright, Dipak Ghosh, Ian Smith, Ronald MacDonald, David Cobham, Charles R. Nolan, Jagjit S. Chadha and Mary Anne White. Their work appears in journals such as The Economic Journal, Journal of Policy Modeling, Journal of Cultural Economics, Journal of Sports Economics and Open Economies Review.
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.