Franziska Kühn
- Finance top 10%
- Stochastic processes and financial applications 15
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics 7
- Applied Mathematics top 10%
- Nonlinear Differential Equations Analysis 5
- Advanced Harmonic Analysis Research 3
- Nonlinear Partial Differential Equations 2
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- Probability and Risk Models 5
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- Healthcare Technology and Patient Monitoring 4
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- Advanced Mathematical Modeling in Engineering 2
- Co-authors
- René L. SchillingMaria CrammMatthias SchmitzAlex J. RaeberYong‐Sun KimInga ZerrKatsuya SatohE Mitrová
- Cited by
- FinanceNeurologyMathematical Physics
- Journals
- FEBS Letters (1 paper)Journal of Thoracic and Cardiovascular Surgery (1 paper)Lecture notes in mathematics (1 paper)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
Franziska Kühn
27 papers receiving 305 citations
Peers
Comparison fields: 5 of 76
- Finance 78
- Neurology 53
- Mathematical Physics 54
- Applied Mathematics 47
- Neurology 40
Countries citing papers authored by Franziska Kühn
This map shows the geographic impact of Franziska Kühn'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 Franziska Kühn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franziska Kühn more than expected).
Fields of papers citing papers by Franziska Kühn
This network shows the impact of papers produced by Franziska Kühn. 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 Franziska Kühn. The network helps show where Franziska Kühn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Franziska Kühn, 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 | 2023 | 1 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 4 | |
| 4 | 2021 | 0 | |
| 5 | 2021 | 1 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 2 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 18 | |
| 10 | 2018 | 1 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 6 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 11 | |
| 15 | 2015 | 132 | |
| 16 | 2014 | 7 | |
| 17 | 2012 | 16 | |
| 18 | 2012 | 21 | |
| 19 | 1999 | 21 | |
| 20 | 1997 | 3 |
About Franziska Kühn
Franziska Kühn is a scholar working on Finance, Mathematical Physics and Applied Mathematics, having authored 28 papers that have together received 316 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (15 papers), Stochastic processes and statistical mechanics (7 papers), Nonlinear Differential Equations Analysis (5 papers), Probability and Risk Models (5 papers), Healthcare Technology and Patient Monitoring (4 papers), Advanced Harmonic Analysis Research (3 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Nonlinear Partial Differential Equations (2 papers). The work is most often cited by research in Finance (78 citations), Neurology (53 citations) and Mathematical Physics (54 citations). Franziska Kühn has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include René L. Schilling, Maria Cramm, Matthias Schmitz, Alex J. Raeber, Yong‐Sun Kim, Inga Zerr, Katsuya Satoh, E Mitrová, Daniela Varges and Steven Collins. Their work appears in journals such as FEBS Letters, Journal of Thoracic and Cardiovascular Surgery and Lecture notes in 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.