Annika Lang
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
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- Probabilistic and Robust Engineering Design
Papers in
- Finance 26
- Stochastic processes and financial applications 24
- Financial Risk and Volatility Modeling 8
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- Probabilistic and Robust Engineering Design 10
- Co-authors
- Christoph SchwabAndrea BarthTanja TeuberOtto HuberG. KühnAndreas PeterssonDavid CohenRaffaele D’Ambrosio
- Journals
- BIT Numerical Mathematics (3 papers)Stochastics (2 papers)Applied Mathematics & Optimization (2 papers)Stochastic Processes and their Applications (2 papers)Journal of Computational and Applied Mathematics (2 papers)
- Partner nations
- SwedenSwitzerlandGermany
In The Last Decade
Annika Lang
37 papers receiving 451 citations
Peers
Comparison fields: 5 of 63
- Finance 192
- Statistics, Probability and Uncertainty 105
- Numerical Analysis 65
- Computational Theory and Mathematics 110
- Mathematical Physics 57
Countries citing papers authored by Annika Lang
This map shows the geographic impact of Annika Lang'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 Annika Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annika Lang more than expected).
Fields of papers citing papers by Annika Lang
This network shows the impact of papers produced by Annika Lang. 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 Annika Lang. The network helps show where Annika Lang may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Annika Lang, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 1 | |
| 11 | 2019 | 9 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 6 | |
| 14 | 2017 | 4 | |
| 15 | 2017 | 6 | |
| 16 | 2013 | 15 | |
| 17 | Multi-level Monte Carlo Finite Element method for parabolic stochastic partial differential equations | 2011 | 3 |
| 18 | 2011 | 3 | |
| 19 | 2010 | 9 | |
| 20 | 2010 | 14 |
About Annika Lang
Annika Lang is a scholar working on Finance, Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Mathematical Physics and Modeling and Simulation, having authored 40 papers that have together received 485 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (24 papers), Advanced Mathematical Modeling in Engineering (11 papers), Probabilistic and Robust Engineering Design (10 papers), Financial Risk and Volatility Modeling (8 papers), Stability and Controllability of Differential Equations (6 papers), Numerical methods in inverse problems (5 papers), Soil Geostatistics and Mapping (4 papers) and Advanced Numerical Methods in Computational Mathematics (2 papers). The work is most often cited by research in Finance (192 citations), Statistics, Probability and Uncertainty (105 citations), Numerical Analysis (65 citations), Computational Theory and Mathematics (110 citations) and Mathematical Physics (57 citations). Annika Lang has collaborated with scholars based in Sweden, Switzerland and Germany. Frequent co-authors include Christoph Schwab, Andrea Barth, Tanja Teuber, Otto Huber, G. Kühn, Andreas Petersson, David Cohen, Raffaele D’Ambrosio, Peter Creasey and Balaźs Kulcsár. Their work appears in journals such as BIT Numerical Mathematics, Stochastics, Applied Mathematics & Optimization, Stochastic Processes and their Applications and Journal of Computational and Applied Mathematics.
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.