Hans Buehler

729 citations
17 papers · 413 · h-index 10

Impact in

  • Finance top 2%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Financial Markets and Investment Strategies
    • Stock Market Forecasting Methods
    • Risk and Portfolio Optimization

Papers in

    • Stochastic processes and financial applications 15
    • Financial Markets and Investment Strategies 7
    • Financial Risk and Volatility Modeling 4
    • Capital Investment and Risk Analysis 2
    • Complex Systems and Time Series Analysis 3

Hans Buehler

17 papers receiving 376 citations

Peers

Hans Buehler
Comparison fields: 5 of 45
  • Finance 308
  • Management Science and Operations Research 153
  • Economics and Econometrics 121
  • Demography 41
  • Statistical and Nonlinear Physics 24
Replace Areski Cousin with:
Areski Cousin France
Craig A. Friedman United States
Blanka Horvath United Kingdom
Elke Korn Germany
Thomas Breuer Austria
Hongbiao Zhao United Kingdom
Didier Rullière France
W.P. Malcolm Australia
Farid AitSahlia United States
Robert Stelzer Germany
Hans Buehler relative to Areski Cousin France Areski Cousin's profile →
Citations per field
00.5×3.9×
Areski Cousin · 1×
Citations per year

Countries citing papers authored by Hans Buehler

Since Specialization
Citations

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

Fields of papers citing papers by Hans Buehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Hans Buehler, 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 Hans Buehler Line = papers co-authored together Hans Buehler links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2019162
2 200672
3 202033
4 201929
5 200619
6 201017
7 201815
8 202014
9
Consistent Variance Curve Models
200612
10 202210
11 20219
12 20067
13 20105
14 20153
15 20043
16 20162
17 20051

About Hans Buehler

Hans Buehler is a scholar working on Finance, Economics and Econometrics, Demography, Management Science and Operations Research and Signal Processing, having authored 17 papers that have together received 413 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (15 papers), Financial Markets and Investment Strategies (7 papers), Insurance, Mortality, Demography, Risk Management (5 papers), Financial Risk and Volatility Modeling (4 papers), Complex Systems and Time Series Analysis (3 papers), Capital Investment and Risk Analysis (2 papers), Risk and Portfolio Optimization (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Finance (308 citations), Management Science and Operations Research (153 citations), Economics and Econometrics (121 citations), Demography (41 citations) and Statistical and Nonlinear Physics (24 citations). Hans Buehler has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Ben Wood, Lukas Gonon, Josef Teichmann, Blanka Horvath, Terry Lyons, Imanol Pérez Arribas, Mikko S. Pakkanen, Ralf Korn and Alexandre Pachoud. Their work appears in journals such as Quantitative Finance, Finance and Stochastics, SSRN Electronic Journal and Spiral (Imperial College London).

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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