Peter Macmillan

916 citations
13 papers · 647 · h-index 7

Impact in

Papers in

Peter Macmillan

13 papers receiving 562 citations

Peers

Peter Macmillan
Comparison fields: 5 of 56
  • General Economics, Econometrics and Finance 337
  • Finance 250
  • Economics and Econometrics 545
  • General Energy 7
  • Accounting 69
Replace Tonny Lybek with:
Tonny Lybek United States
Daniel Hoang Germany
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George Hall United States
W. C. Boeschoten Netherlands
Ulf von Kalckreuth Germany
Fulbert Tchana Tchana United States
Marc Bremer Japan
Youguo Liang United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Macmillan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter Macmillan Line = papers co-authored together Peter Macmillan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2008228
2 2004211
3 200773
4 200752
5 200134
6 199422
7 20078
8 20226
9 20045
10
Non-Linear Predictability of Stock Market Returns: Comparative Evidence from Japan and the US
20153
11 20023
12 20061
13 20221

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 647 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (9 papers), Market Dynamics and Volatility (5 papers), Fiscal Policies and Political Economy (3 papers), Financial Markets and Investment Strategies (3 papers), Economic, financial, and policy analysis (3 papers), Housing Market and Economics (2 papers), Global Financial Crisis and Policies (2 papers) and Stochastic processes and financial applications (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (337 citations), Finance (250 citations), Economics and Econometrics (545 citations), General Energy (7 citations) and Accounting (69 citations). Peter Macmillan has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Andreas Humpe, Robert E. Wright, Dipak Ghosh, Eric J. Levin, Ian Smith, Ronald MacDonald, David Cobham, Charles R. Nolan, Jagjit S. Chadha and David G. McMillan. Their work appears in journals such as Journal of Policy Modeling, Journal of Cultural Economics, Journal of Sports Economics, The Economic Journal and Applied Economics Letters.

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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