H. Windcliff

686 citations
12 papers · 394 · h-index 10

Impact in

  • Finance top 2%
    • Stochastic processes and financial applications
    • Financial Markets and Investment Strategies
    • Financial Risk and Volatility Modeling
    • Capital Investment and Risk Analysis
    • Differential Equations and Numerical Methods

Papers in

    • Stochastic processes and financial applications 10
    • Capital Investment and Risk Analysis 4
    • Financial Markets and Investment Strategies 3
    • Financial Risk and Volatility Modeling 2
    • Insurance, Mortality, Demography, Risk Management 4

H. Windcliff

12 papers receiving 351 citations

Peers

H. Windcliff
Comparison fields: 5 of 35
  • Finance 334
  • Numerical Analysis 50
  • Management Science and Operations Research 81
  • Demography 70
  • Economics and Econometrics 142
Replace Michèle Vanmaele with:
Michèle Vanmaele Belgium
Harry Zheng United Kingdom
Fei Lung Yuen Hong Kong
Karsten Prause Germany
Dmitry Davydov United States
Roger Lord Netherlands
Hiroshi Shirakawa Japan
Marc Henrard United Kingdom
Arnon Levy United States
H. Windcliff relative to Michèle Vanmaele Belgium Michèle Vanmaele's profile →
Citations per field
00.5×2.7×
Michèle Vanmaele · 1×
Citations per year

Countries citing papers authored by H. Windcliff

Since Specialization
Citations

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

Fields of papers citing papers by H. Windcliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside H. Windcliff, 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 H. Windcliff Line = papers co-authored together H. Windcliff links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201288
2 200473
3 200552
4 200444
5 200132
6 200131
7 201322
8 200618
9 200214
10 200613
11 20036
12
Computational methods for valuing path-dependent derivatives
20031

About H. Windcliff

H. Windcliff is a scholar working on Finance, Demography, Economics and Econometrics, General Economics, Econometrics and Finance and Numerical Analysis, having authored 12 papers that have together received 394 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Capital Investment and Risk Analysis (4 papers), Insurance, Mortality, Demography, Risk Management (4 papers), Financial Markets and Investment Strategies (3 papers), Economic theories and models (3 papers), Financial Risk and Volatility Modeling (2 papers), Monetary Policy and Economic Impact (2 papers) and Theoretical and Computational Physics (1 paper). The work is most often cited by research in Finance (334 citations), Numerical Analysis (50 citations), Management Science and Operations Research (81 citations), Demography (70 citations) and Economics and Econometrics (142 citations). H. Windcliff has collaborated with scholars based in Canada and United States. Frequent co-authors include Peter Forsyth, K.R. Vetzal, Kenneth R. Vetzal, J. Wang and Thomas F. Coleman. Their work appears in journals such as Journal of Computational and Applied Mathematics, Journal of Economic Dynamics and Control, Applied Mathematical Finance, North American Actuarial Journal and The Journal of Computational Finance.

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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