Dietmar Maringer
- Management Science and Operations Research top 1%
- Finance top 2%
- Economics and Econometrics top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Topics
- Financial Markets and Investment Strategies (13 papers)Stochastic processes and financial applications (9 papers)Stock Market Forecasting Methods (8 papers)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Dietmar Maringer
31 papers receiving 612 citations
Peers
Comparison fields: 5 of 61
- Management Science and Operations Research 425
- Finance 289
- Economics and Econometrics 151
- Artificial Intelligence 137
- Computational Theory and Mathematics 136
Countries citing papers authored by Dietmar Maringer
This map shows the geographic impact of Dietmar Maringer'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 Dietmar Maringer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dietmar Maringer more than expected).
Fields of papers citing papers by Dietmar Maringer
This network shows the impact of papers produced by Dietmar Maringer. 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 Dietmar Maringer. The network helps show where Dietmar Maringer may publish in the future.
Co-authorship network of co-authors of Dietmar Maringer
This figure shows the co-authorship network connecting the top 25 collaborators of Dietmar Maringer. A scholar is included among the top collaborators of Dietmar Maringer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dietmar Maringer. Dietmar Maringer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Improving Sharpe Ratios and Stability of Portfolios by Using a Clustering Technique | 6 |
| 9 | 21 | |
| 10 | Constant Proportion Portfolio Insurance (CPPI) : Statistical Properties and Practical Implications | 3 |
| 11 | 69 | |
| 12 | 69 | |
| 13 | Portfolio Management with Heuristic Optimization (Advances in Computational Management Science) | 7 |
| 14 | 3 | |
| 15 | 71 | |
| 16 | 5 | |
| 17 | 10 | |
| 18 | 131 | |
| 19 | 1 | |
| 20 | 0 |
About Dietmar Maringer
Dietmar Maringer is a scholar working on Finance, Management Science and Operations Research and General Economics, Econometrics and Finance, having authored 34 papers that have together received 657 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (13 papers), Stochastic processes and financial applications (9 papers) and Stock Market Forecasting Methods (8 papers). The work is most often cited by research in Management Science and Operations Research (425 citations), Finance (289 citations) and Computational Theory and Mathematics (136 citations). Dietmar Maringer has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Hans Kellerer, Panos Parpas, Zhang Jin, Peter Winker, Hui Li, Edward Tsang, Qingfu Zhang, Mark Meyer, Yu Tang and Kai‐Tai Fang. Their work appears in journals such as Expert Systems with Applications, Mathematics of Computation and Journal of Banking & 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.