Marco Oesting
Impact in
- Finance top 5%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Inference 8
- Finance 8
- Financial Risk and Volatility Modeling 8
- Co-authors
- Martin Schlather (7 shared papers)Sebastian Engelke (5 shared papers)Clément Dombry (2 shared papers)Zakhar Kabluchko (1 shared paper)Petra Friederichs (2 shared papers)Alfred Stein (1 shared paper)Chen Zhou (1 shared paper)Christian Lantuéjoul (1 shared paper)
- Journals
- Extremes (3 papers)Stochastic Environmental Research and Risk Assessment (3 papers)Advances in Applied Probability (2 papers)Biometrika (2 papers)Electronic Journal of Statistics (2 papers)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
Marco Oesting
20 papers receiving 337 citations
Peers
Comparison fields: 5 of 62
- Finance 111
- Statistics and Probability 78
- Global and Planetary Change 133
- Environmental Engineering 89
- Ecological Modeling 14
Countries citing papers authored by Marco Oesting
This map shows the geographic impact of Marco Oesting'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 Marco Oesting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Oesting more than expected).
Fields of papers citing papers by Marco Oesting
This network shows the impact of papers produced by Marco Oesting. 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 Marco Oesting. The network helps show where Marco Oesting may publish in the future.
Co-authors
The 14 scholars most cited alongside Marco Oesting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 139 | |
| 2 | 2016 | 49 | |
| 3 | 2011 | 41 | |
| 4 | 2016 | 27 | |
| 5 | 2017 | 19 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 14 | |
| 8 | 2017 | 12 | |
| 9 | 2014 | 9 | |
| 10 | 2017 | 5 | |
| 11 | 2014 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2025 | 2 | |
| 15 | Conditional Modelling of Extreme Wind Gusts by Bivariate Brown-Resnick Processes | 2013 | 2 |
| 16 | 2018 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 1 |
About Marco Oesting
Marco Oesting is a scholar working on Statistics and Probability, Finance, Global and Planetary Change, Control and Systems Engineering and Environmental Engineering, having authored 22 papers that have together received 349 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Financial Risk and Volatility Modeling (8 papers), Hydrology and Drought Analysis (6 papers), Control Systems and Identification (5 papers), Soil Geostatistics and Mapping (4 papers), Probabilistic and Robust Engineering Design (4 papers), Spatial and Panel Data Analysis (3 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Finance (111 citations), Statistics and Probability (78 citations), Global and Planetary Change (133 citations), Environmental Engineering (89 citations) and Ecological Modeling (14 citations). Marco Oesting has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Martin Schlather, Sebastian Engelke, Clément Dombry, Zakhar Kabluchko, Petra Friederichs, Alfred Stein, Chen Zhou, Christian Lantuéjoul, Liliane Bel and Nicole Radde. Their work appears in journals such as Extremes, Stochastic Environmental Research and Risk Assessment, Advances in Applied Probability, Biometrika and Electronic Journal of Statistics.
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.