Y. d’Halluin

716 citations
7 papers · 480 · h-index 6

Impact in

  • Finance top 2%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Capital Investment and Risk Analysis
    • Differential Equations and Numerical Methods
    • Numerical methods for differential equations

Papers in

    • Stochastic processes and financial applications 7
    • Capital Investment and Risk Analysis 2
    • Credit Risk and Financial Regulations 2
    • Financial Risk and Volatility Modeling 2
    • Differential Equations and Numerical Methods 2

Y. d’Halluin

6 papers receiving 430 citations

Peers

Y. d’Halluin
Comparison fields: 5 of 40
  • Finance 428
  • Numerical Analysis 161
  • Modeling and Simulation 42
  • Economics and Econometrics 101
  • Management Science and Operations Research 40
Replace Ekaterina Voltchkova with:
Ekaterina Voltchkova France
Liming Feng United States
Jesper Andreasen Australia
R. H. Liu United States
Michèle Vanmaele Belgium
Fabio Antonelli Italy
H. Windcliff Canada
Andrea Pascucci Italy
Jin Ma United States
Xiaolu Tan France
Y. d’Halluin relative to Ekaterina Voltchkova France Ekaterina Voltchkova's profile →
Citations per field
00.5×1.6×
Ekaterina Voltchkova · 1×
Citations per year

Countries citing papers authored by Y. d’Halluin

Since Specialization
Citations

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

Fields of papers citing papers by Y. d’Halluin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. d’Halluin. 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 Y. d’Halluin. The network helps show where Y. d’Halluin may publish in the future.

Co-authors

The 3 scholars most cited alongside Y. d’Halluin, 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 Y. d’Halluin Line = papers co-authored together Y. d’Halluin links everyone, so they are left out of the graph.

All Works

About Y. d’Halluin

Y. d’Halluin is a scholar working on Finance, Numerical Analysis, Economics and Econometrics, Applied Mathematics and Management Science and Operations Research, having authored 7 papers that have together received 480 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Capital Investment and Risk Analysis (2 papers), Credit Risk and Financial Regulations (2 papers), Financial Risk and Volatility Modeling (2 papers), Differential Equations and Numerical Methods (2 papers), Auction Theory and Applications (1 paper), Nonlinear Differential Equations Analysis (1 paper) and Housing Market and Economics (1 paper). The work is most often cited by research in Finance (428 citations), Numerical Analysis (161 citations), Modeling and Simulation (42 citations), Economics and Econometrics (101 citations) and Management Science and Operations Research (40 citations). Y. d’Halluin has collaborated with scholars based in Canada and Russia. Frequent co-authors include Peter Forsyth, George Labahn and K.R. Vetzal. Their work appears in journals such as IMA Journal of Numerical Analysis, IEEE/ACM Transactions on Networking, Numerische Mathematik, SIAM Journal on Scientific Computing and Applied Mathematical 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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