Simon Behrendt
Impact in
- Finance top 5%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Economics and Econometrics top 5%
- Market Dynamics and Volatility
- Complex Systems and Time Series Analysis
- Energy, Environment, Economic Growth
Papers in
-
- Complex Systems and Time Series Analysis 9
- Market Dynamics and Volatility 4
- Sports Analytics and Performance 2
- Finance 9
- Financial Markets and Investment Strategies 6
- Financial Risk and Volatility Modeling 3
- Co-authors
- Alexander R. Schmidt (2 shared papers)Franziska J. Peter (2 shared papers)Thomas Dimpfl (1 shared paper)Alexander Schmidt (1 shared paper)Karsten Schweikert (1 shared paper)Georg Wamser (1 shared paper)
- Journals
- Finance research letters (2 papers)SoftwareX (1 paper)Journal of Banking & Finance (1 paper)Economic Modelling (1 paper)Quantitative Finance (1 paper)
- Partner nations
- GermanySwitzerland
In The Last Decade
Simon Behrendt
13 papers receiving 302 citations
Peers
Comparison fields: 5 of 66
- Finance 147
- Economics and Econometrics 209
- Management Science and Operations Research 92
- Accounting 25
- General Economics, Econometrics and Finance 14
Countries citing papers authored by Simon Behrendt
This map shows the geographic impact of Simon Behrendt'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 Simon Behrendt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Behrendt more than expected).
Fields of papers citing papers by Simon Behrendt
This network shows the impact of papers produced by Simon Behrendt. 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 Simon Behrendt. The network helps show where Simon Behrendt may publish in the future.
Co-authors
The 6 scholars most cited alongside Simon Behrendt, 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 | 2019 | 133 | |
| 2 | 2018 | 110 | |
| 3 | 2020 | 18 | |
| 4 | 2020 | 16 | |
| 5 | 2021 | 9 | |
| 6 | 2019 | 9 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2019 | 0 |
About Simon Behrendt
Simon Behrendt is a scholar working on Economics and Econometrics, Finance, Management Science and Operations Research, Artificial Intelligence and Genetics, having authored 14 papers that have together received 314 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (9 papers), Stock Market Forecasting Methods (9 papers), Financial Markets and Investment Strategies (6 papers), Market Dynamics and Volatility (4 papers), Financial Risk and Volatility Modeling (3 papers), Sports Analytics and Performance (2 papers), Corporate Taxation and Avoidance (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Finance (147 citations), Economics and Econometrics (209 citations), Management Science and Operations Research (92 citations), Accounting (25 citations) and General Economics, Econometrics and Finance (14 citations). Simon Behrendt has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Alexander R. Schmidt, Franziska J. Peter, Thomas Dimpfl, Alexander Schmidt, Karsten Schweikert and Georg Wamser. Their work appears in journals such as Finance research letters, SoftwareX, Journal of Banking & Finance, Economic Modelling and Quantitative 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.