Michael Curran

447 citations
18 papers · 277 · h-index 9

Impact in

  • Finance top 5%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Capital Investment and Risk Analysis
    • Financial Markets and Investment Strategies
    • Monetary Policy and Economic Impact

Papers in

Michael Curran

16 papers receiving 252 citations

Peers

Michael Curran
Comparison fields: 5 of 52
  • Finance 182
  • General Economics, Econometrics and Finance 42
  • Demography 39
  • Economics and Econometrics 80
  • Nature and Landscape Conservation 27
Replace Alfredo Ibáñez with:
Alfredo Ibáñez United States
Michel Gendron Canada
Jeffrey Pai Canada
Yong Song Australia
Maurice J. Roche Ireland
Elif F. Acar Canada
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Citations per field
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Citations per year

Countries citing papers authored by Michael Curran

Since Specialization
Citations

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

Fields of papers citing papers by Michael Curran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Michael Curran, 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 Michael Curran Line = papers co-authored together Michael Curran links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1994144
2 200920
3
Willow Power: Optimizing Derivative Pricing Trees
200115
4 201815
5 200514
6 201912
7 201912
8 199510
9 20118
10 20097
11 20055
12 20205
13
Cumulative Effects of Fuel Treatments on Soil Productivity
20104
14 20203
15 20102
16
Uncertainty Shocks and the Cross-Border Funding of Banks: Unmasking Heterogeneity
20201
17 20200
18 20090

About Michael Curran

Michael Curran is a scholar working on Finance, General Economics, Econometrics and Finance, Nature and Landscape Conservation, Economics and Econometrics and Global and Planetary Change, having authored 18 papers that have together received 277 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (6 papers), Forest ecology and management (5 papers), Stochastic processes and financial applications (3 papers), Forest Biomass Utilization and Management (3 papers), Fire effects on ecosystems (3 papers), Market Dynamics and Volatility (3 papers), Seedling growth and survival studies (3 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in Finance (182 citations), General Economics, Econometrics and Finance (42 citations), Demography (39 citations), Economics and Econometrics (80 citations) and Nature and Landscape Conservation (27 citations). Michael Curran has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Scott X. Chang, Xiao Tan, Janusz J. Zwiazek, David F. Scott, Peter R. Robichaud, Joseph W. Wagenbrenner, Agustín S. Bénétrix, Hee‐Myong Ro, Deborah S. Page‐Dumroese and Martin F. Jurgensen. Their work appears in journals such as Forest Science, Economics Letters, Review of International Economics, European Economic Review and Management Science.

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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