V. Bally

933 citations
11 papers · 516 · h-index 8

Impact in

  • Finance top 2%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Capital Investment and Risk Analysis

Papers in

    • Stochastic processes and financial applications 10
    • Financial Risk and Volatility Modeling 3
    • Capital Investment and Risk Analysis 1
    • Nonlinear Partial Differential Equations 3

V. Bally

10 papers receiving 464 citations

Peers

V. Bally
Comparison fields: 5 of 46
  • Finance 435
  • Numerical Analysis 47
  • Statistics and Probability 70
  • Mathematical Physics 74
  • Modeling and Simulation 32
Replace Arturo Kohatsu‐Higa with:
Arturo Kohatsu‐Higa Japan
Stéphane Menozzi France
Andreas Neuenkirch Germany
Christian Bender Germany
Josef Teichmann Switzerland
Vlad Bally France
Nigel J. Newton United Kingdom
Leszek Słomiński Poland
Michael Kohlmann Germany
Giulia Di Nunno Norway
V. Bally relative to Arturo Kohatsu‐Higa Japan Arturo Kohatsu‐Higa's profile →
Citations per field
00.5×1.5×
Arturo Kohatsu‐Higa · 1×
Citations per year

Countries citing papers authored by V. Bally

Since Specialization
Citations

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

Fields of papers citing papers by V. Bally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside V. Bally, 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 V. Bally Line = papers co-authored together V. Bally links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1996208
2 2005101
3 200186
4 199442
5 199622
6
First-order schemes in the numerical quantization method
200319
7 200518
8 200517
9 20032
10 20111
11 20230

About V. Bally

V. Bally is a scholar working on Finance, Applied Mathematics, Mathematical Physics, Computational Theory and Mathematics and Control and Systems Engineering, having authored 11 papers that have together received 516 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Advanced Mathematical Modeling in Engineering (3 papers), Nonlinear Partial Differential Equations (3 papers), Financial Risk and Volatility Modeling (3 papers), Stochastic processes and statistical mechanics (2 papers), Capital Investment and Risk Analysis (1 paper), Economic theories and models (1 paper) and advanced mathematical theories (1 paper). The work is most often cited by research in Finance (435 citations), Numerical Analysis (47 citations), Statistics and Probability (70 citations), Mathematical Physics (74 citations) and Modeling and Simulation (32 citations). V. Bally has collaborated with scholars based in France, Hungary and Italy. Frequent co-authors include Denis Talay, Anis Matoussi, Gilles Pagès, Jacques Printems, Étienne Pardoux, István Gyöngy, Lucreţiu Stoica, Stefano De Marco, Lucia Caramellino and Arturo Kohatsu‐Higa. Their work appears in journals such as Probability Theory and Related Fields, Mathematical Finance, Potential Analysis, Journal of Mathematical Analysis and Applications and Journal of Theoretical Probability.

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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