Monika Ludwig
- Applied Mathematics top 0.2%
- Point processes and geometric inequalities 43
- Geometric Analysis and Curvature Flows 14
- Mathematical Inequalities and Applications 8
- Functional Equations Stability Results 4
- Nonlinear Partial Differential Equations 4
- Geometry and Topology top 1%
- Mathematics and Applications 9
- Mathematical Physics top 5%
- Advanced Banach Space Theory 7
- Computational Mathematics top 10%
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- Mathematical Approximation and Integration 5
- Co-authors
- Matthias ReitznerChristoph HaberlAndrea ColesantiJie XiaoGaoyong ZhangElisabeth M. WernerPeter M. GruberNicole Tomczak-Jaegermann
- Journals
- Annals of Mathematics (2 papers)Transactions of the American Mathematical Society (2 papers)Advances in Mathematics (9 papers)
- Partner nations
- AustriaUnited StatesItaly
In The Last Decade
Monika Ludwig
47 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 44
- Applied Mathematics 1.7k
- Geometry and Topology 537
- Mathematical Physics 305
- Computational Mathematics 14
- Discrete Mathematics and Combinatorics 70
Countries citing papers authored by Monika Ludwig
This map shows the geographic impact of Monika Ludwig'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 Monika Ludwig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monika Ludwig more than expected).
Fields of papers citing papers by Monika Ludwig
This network shows the impact of papers produced by Monika Ludwig. 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 Monika Ludwig. The network helps show where Monika Ludwig may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Monika Ludwig, 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 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 10 | |
| 5 | 2020 | 11 | |
| 6 | 2017 | 9 | |
| 7 | 2017 | 20 | |
| 8 | 2016 | 12 | |
| 9 | 2013 | 26 | |
| 10 | 2013 | 23 | |
| 11 | 2010 | 71 | |
| 12 | 2010 | 34 | |
| 13 | 2010 | 117 | |
| 14 | 2004 | 126 | |
| 15 | 2002 | 31 | |
| 16 | 2002 | 40 | |
| 17 | Asymptotic Approximation by Quadratic Spline Curves | 2002 | 2 |
| 18 | 1999 | 95 | |
| 19 | 1998 | 4 | |
| 20 | 1996 | 4 |
About Monika Ludwig
Monika Ludwig is a scholar working on Applied Mathematics, Geometry and Topology and Computational Mathematics, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (43 papers), Geometric Analysis and Curvature Flows (14 papers), Mathematics and Applications (9 papers), Mathematical Inequalities and Applications (8 papers), Advanced Banach Space Theory (7 papers), Mathematical Approximation and Integration (5 papers), Functional Equations Stability Results (4 papers) and Nonlinear Partial Differential Equations (4 papers). The work is most often cited by research in Applied Mathematics (1.7k citations), Geometry and Topology (537 citations) and Mathematical Physics (305 citations). Monika Ludwig has collaborated with scholars based in Austria, United States and Italy. Frequent co-authors include Matthias Reitzner, Christoph Haberl, Andrea Colesanti, Jie Xiao, Gaoyong Zhang, Elisabeth M. Werner, Peter M. Gruber, Nicole Tomczak-Jaegermann, Vitali Milman and Vladimir Pestov. Their work appears in journals such as Annals of Mathematics, Transactions of the American Mathematical Society and Advances 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.