Dirk Becherer
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
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- Risk and Portfolio Optimization
Papers in
- Finance 11
- Stochastic processes and financial applications 10
- Financial Markets and Investment Strategies 4
- Financial Risk and Volatility Modeling 3
- Credit Risk and Financial Regulations 1
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- Economic theories and models 4
- Complex Systems and Time Series Analysis 1
- Co-authors
- Martin Schweizer (1 shared paper)Illia Horenko (1 shared paper)Mihail Zervos (1 shared paper)Giulia Di Nunno (1 shared paper)Harry Zheng (1 shared paper)
- Journals
- Finance and Stochastics (4 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)SIAM Journal on Financial Mathematics (1 paper)Insurance Mathematics and Economics (1 paper)Stochastics (1 paper)
- Partner nations
- GermanyUnited KingdomNorway
In The Last Decade
Dirk Becherer
12 papers receiving 250 citations
Peers
Comparison fields: 5 of 29
- Finance 242
- Management Science and Operations Research 98
- Economics and Econometrics 156
- Demography 47
- General Economics, Econometrics and Finance 10
Countries citing papers authored by Dirk Becherer
This map shows the geographic impact of Dirk Becherer'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 Dirk Becherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Becherer more than expected).
Fields of papers citing papers by Dirk Becherer
This network shows the impact of papers produced by Dirk Becherer. 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 Dirk Becherer. The network helps show where Dirk Becherer may publish in the future.
Co-authors
The 5 scholars most cited alongside Dirk Becherer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 83 | |
| 2 | 2003 | 64 | |
| 3 | 2003 | 50 | |
| 4 | 2004 | 23 | |
| 5 | 2017 | 22 | |
| 6 | 2017 | 9 | |
| 7 | 2009 | 8 | |
| 8 | 2010 | 8 | |
| 9 | 2017 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2012 | 1 | |
| 12 | 2009 | 1 |
About Dirk Becherer
Dirk Becherer is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Demography and Modeling and Simulation, having authored 12 papers that have together received 274 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Risk and Portfolio Optimization (5 papers), Financial Markets and Investment Strategies (4 papers), Economic theories and models (4 papers), Financial Risk and Volatility Modeling (3 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Complex Systems and Time Series Analysis (1 paper) and Credit Risk and Financial Regulations (1 paper). The work is most often cited by research in Finance (242 citations), Management Science and Operations Research (98 citations), Economics and Econometrics (156 citations), Demography (47 citations) and General Economics, Econometrics and Finance (10 citations). Dirk Becherer has collaborated with scholars based in Germany, United Kingdom and Norway. Frequent co-authors include Martin Schweizer, Illia Horenko, Mihail Zervos, Giulia Di Nunno and Harry Zheng. Their work appears in journals such as Finance and Stochastics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, SIAM Journal on Financial Mathematics, Insurance Mathematics and Economics and Stochastics.
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.