Philipp Getto
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Numerical Analysis top 10%
- Differential Equations and Numerical Methods
Papers in ⓘ
-
- Mathematical and Theoretical Epidemiology and Ecology Models 11
-
- Mathematical Biology Tumor Growth 8
- Fractional Differential Equations Solutions 2
- Co-authors
- Odo Diekmann (5 shared papers)Mats Gyllenberg (2 shared papers)Yukihiko Nakata (5 shared papers)Anna Marciniak‐Czochra (4 shared papers)André M. de Roos (2 shared papers)Tomás Alarcón (2 shared papers)Markus Kirkilionis (1 shared paper)Rossana Vermiglio (1 shared paper)
- Journals
- Journal of Mathematical Biology (3 papers)Bulletin of Mathematical Biology (2 papers)SIAM Journal on Applied Mathematics (1 paper)SIAM Journal on Mathematical Analysis (1 paper)SIAM Journal on Scientific Computing (1 paper)
- Partner nations
- GermanyNetherlandsSpain
In The Last Decade
Philipp Getto
13 papers receiving 293 citations
Peers
Comparison fields: 5 of 65
- Modeling and Simulation 120
- Numerical Analysis 34
- Public Health, Environmental and Occupational Health 161
- Genetics 89
- Mathematical Physics 22
Countries citing papers authored by Philipp Getto
This map shows the geographic impact of Philipp Getto'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 Getto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Getto more than expected).
Fields of papers citing papers by Philipp Getto
This network shows the impact of papers produced by Philipp Getto. 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 Getto. The network helps show where Philipp Getto may publish in the future.
Co-authors
The 12 scholars most cited alongside Philipp Getto, 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 | 2007 | 103 | |
| 2 | 2011 | 40 | |
| 3 | 2005 | 36 | |
| 4 | 2004 | 29 | |
| 5 | 2009 | 21 | |
| 6 | 2015 | 15 | |
| 7 | 2013 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2008 | 10 | |
| 10 | 2014 | 8 | |
| 11 | 2015 | 7 | |
| 12 | 2015 | 7 | |
| 13 | 2016 | 4 |
About Philipp Getto
Philipp Getto is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Molecular Biology, Genetics and Computer Networks and Communications, having authored 13 papers that have together received 307 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Mathematical Biology Tumor Growth (8 papers), Gene Regulatory Network Analysis (5 papers), Evolution and Genetic Dynamics (5 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Fractional Differential Equations Solutions (2 papers), Single-cell and spatial transcriptomics (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Modeling and Simulation (120 citations), Numerical Analysis (34 citations), Public Health, Environmental and Occupational Health (161 citations), Genetics (89 citations) and Mathematical Physics (22 citations). Philipp Getto has collaborated with scholars based in Germany, Netherlands and Spain. Frequent co-authors include Odo Diekmann, Mats Gyllenberg, Yukihiko Nakata, Anna Marciniak‐Czochra, André M. de Roos, Tomás Alarcón, Markus Kirkilionis, Rossana Vermiglio, María dM Vivanco and Dimitri Breda. Their work appears in journals such as Journal of Mathematical Biology, Bulletin of Mathematical Biology, SIAM Journal on Applied Mathematics, SIAM Journal on Mathematical Analysis 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.