Philipp Bader
Impact in
- Numerical Analysis top 5%
- Numerical methods for differential equations
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- Cold Atom Physics and Bose-Einstein Condensates
- Quantum, superfluid, helium dynamics
- Strong Light-Matter Interactions
Papers in
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- Numerical methods for differential equations 15
- Differential Equations and Numerical Methods 3
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- Electromagnetic Simulation and Numerical Methods 9
- Co-authors
- Uwe R. Fischer (3 shared papers)Sergio Blanes (12 shared papers)Fernando Casas (7 shared papers)Arieh Iserles (3 shared papers)Πέτρος Καραμανάκος (1 shared paper)Tobias Geyer (1 shared paper)Νικόλαος Οικονόμου (1 shared paper)Frederick Kieferndorf (1 shared paper)
In The Last Decade
Philipp Bader
21 papers receiving 298 citations
Peers
Comparison fields: 5 of 49
- Numerical Analysis 102
- Atomic and Molecular Physics, and Optics 138
- Statistical and Nonlinear Physics 52
- Computational Mathematics 2
- Modeling and Simulation 15
Countries citing papers authored by Philipp Bader
This map shows the geographic impact of Philipp Bader'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 Philipp Bader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Bader more than expected).
Fields of papers citing papers by Philipp Bader
This network shows the impact of papers produced by Philipp Bader. 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 Philipp Bader. The network helps show where Philipp Bader may publish in the future.
Co-authors
The 13 scholars most cited alongside Philipp Bader, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 64 | |
| 2 | 2013 | 44 | |
| 3 | 2014 | 27 | |
| 4 | 2019 | 25 | |
| 5 | 2010 | 24 | |
| 6 | 2012 | 22 | |
| 7 | 2016 | 20 | |
| 8 | 2013 | 17 | |
| 9 | 2011 | 10 | |
| 10 | 2018 | 6 | |
| 11 | 2021 | 6 | |
| 12 | 2017 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2010 | 4 | |
| 15 | 2016 | 4 | |
| 16 | 2015 | 4 | |
| 17 | approximation for the linear time-dependent Schrodinger equation | 2012 | 4 |
| 18 | 2021 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2019 | 2 |
About Philipp Bader
Philipp Bader is a scholar working on Numerical Analysis, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 301 indexed citations. Recurring topics across this work include Numerical methods for differential equations (15 papers), Electromagnetic Simulation and Numerical Methods (9 papers), Matrix Theory and Algorithms (7 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Quantum, superfluid, helium dynamics (4 papers), Differential Equations and Numerical Methods (3 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Numerical Analysis (102 citations), Atomic and Molecular Physics, and Optics (138 citations), Statistical and Nonlinear Physics (52 citations), Computational Mathematics (2 citations) and Modeling and Simulation (15 citations). Philipp Bader has collaborated with scholars based in Spain, Australia and Türkiye. Frequent co-authors include Uwe R. Fischer, Sergio Blanes, Fernando Casas, Arieh Iserles, Πέτρος Καραμανάκος, Tobias Geyer, Νικόλαος Οικονόμου, Frederick Kieferndorf, Jürgen Fleischer and Martin Doppelbauer. Their work appears in journals such as Journal of Computational and Applied Mathematics, Physical Review A, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Mathematical and Computer Modelling and Mathematics and Computers in Simulation.
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.