Andreas Neuenkirch
- Finance top 1%
- Mathematical Physics top 10%
- Computational Theory and Mathematics top 5%
- Demography top 5%
- Numerical Analysis top 5%
- Co-authors
- Peter E. KloedenIvan NourdinSamy TindelArnulf JentzenSteffen DereichŁukasz SzpruchTony ShardlowGabriel J. Lord
- Topics
- Stochastic processes and financial applications (28 papers)Financial Risk and Volatility Modeling (12 papers)Advanced Mathematical Modeling in Engineering (5 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsNumerische MathematikAnnals of Operations Research
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Andreas Neuenkirch
33 papers receiving 672 citations
Peers
Comparison fields: 5 of 55
- Finance 589
- Mathematical Physics 113
- Computational Theory and Mathematics 106
- Demography 105
- Numerical Analysis 102
Countries citing papers authored by Andreas Neuenkirch
This map shows the geographic impact of Andreas Neuenkirch'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 Andreas Neuenkirch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Neuenkirch more than expected).
Fields of papers citing papers by Andreas Neuenkirch
This network shows the impact of papers produced by Andreas Neuenkirch. 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 Andreas Neuenkirch. The network helps show where Andreas Neuenkirch may publish in the future.
Co-authorship network of co-authors of Andreas Neuenkirch
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Neuenkirch. A scholar is included among the top collaborators of Andreas Neuenkirch 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 Andreas Neuenkirch. Andreas Neuenkirch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 90 | |
| 9 | 75 | |
| 10 | 46 | |
| 11 | 16 | |
| 12 | 19 | |
| 13 | 6 | |
| 14 | 21 | |
| 15 | 24 | |
| 16 | 4 | |
| 17 | 31 | |
| 18 | 60 | |
| 19 | 22 | |
| 20 | Optimal Approximation of Stochastic Differential Equations with Additive Fractional Noise | 2 |
About Andreas Neuenkirch
Andreas Neuenkirch is a scholar working on Finance, Numerical Analysis and Mathematical Physics, having authored 34 papers that have together received 716 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (28 papers), Financial Risk and Volatility Modeling (12 papers) and Advanced Mathematical Modeling in Engineering (5 papers). The work is most often cited by research in Finance (589 citations), Numerical Analysis (102 citations) and Modeling and Simulation (71 citations). Andreas Neuenkirch has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Peter E. Kloeden, Ivan Nourdin, Samy Tindel, Arnulf Jentzen, Steffen Dereich, Łukasz Szpruch, Tony Shardlow, Gabriel J. Lord, Marı́a J. Garrido-Atienza and Raffaella Pavani. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Numerische Mathematik and Annals of Operations Research.
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.