Anna Lischke
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
Papers in
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- Mathematical functions and polynomials 1
- Nonlinear Differential Equations Analysis 1
- Nonlinear Partial Differential Equations 1
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- Differential Equations and Numerical Methods 3
- Co-authors
- George Em Karniadakis (2 shared papers)Mark M. Meerschaert (2 shared papers)Mamikon Gulian (1 shared paper)Guofei Pang (1 shared paper)Zhiping Mao (1 shared paper)Xiaoning Zheng (1 shared paper)Wei Cai (1 shared paper)Christian Glusa (1 shared paper)
- Journals
- Journal of Computational Physics (1 paper)Fractional Calculus and Applied Analysis (1 paper)Mathematics of Computation (1 paper)CALCOLO (1 paper)SIAM Journal on Scientific Computing (1 paper)
- Partner nations
- United States
In The Last Decade
Anna Lischke
5 papers receiving 313 citations
Anna Lischke's Hit Papers
Peers
Comparison fields: 5 of 51
- Modeling and Simulation 173
- Numerical Analysis 115
- Applied Mathematics 83
- Mathematical Physics 57
- Statistical and Nonlinear Physics 63
Countries citing papers authored by Anna Lischke
This map shows the geographic impact of Anna Lischke'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 Anna Lischke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Lischke more than expected).
Fields of papers citing papers by Anna Lischke
This network shows the impact of papers produced by Anna Lischke. 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 Anna Lischke. The network helps show where Anna Lischke may publish in the future.
Co-authors
The 14 scholars most cited alongside Anna Lischke, 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 | What is the fractional Laplacian? A comparative review with new results Hit paper breakdown → | 2019 | 271 |
| 2 | 2017 | 26 | |
| 3 | 2020 | 18 | |
| 4 | 2019 | 7 | |
| 5 | 2022 | 6 |
About Anna Lischke
Anna Lischke is a scholar working on Applied Mathematics, Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics and Modeling and Simulation, having authored 5 papers that have together received 328 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (3 papers), Advanced Mathematical Modeling in Engineering (2 papers), Fractional Differential Equations Solutions (2 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Geometric and Algebraic Topology (1 paper), Mathematical functions and polynomials (1 paper), Nonlinear Differential Equations Analysis (1 paper) and Nonlinear Partial Differential Equations (1 paper). The work is most often cited by research in Modeling and Simulation (173 citations), Numerical Analysis (115 citations), Applied Mathematics (83 citations), Mathematical Physics (57 citations) and Statistical and Nonlinear Physics (63 citations). Anna Lischke has collaborated with scholars based in United States. Frequent co-authors include George Em Karniadakis, Mark M. Meerschaert, Mamikon Gulian, Guofei Pang, Zhiping Mao, Xiaoning Zheng, Wei Cai, Christian Glusa, Mark Ainsworth and Fangying Song. Their work appears in journals such as Journal of Computational Physics, Fractional Calculus and Applied Analysis, Mathematics of Computation, CALCOLO and SIAM Journal on Scientific Computing.
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.