G. Kunert
Impact in
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
- Computational Mechanics top 2%
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
Papers in
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- Advanced Numerical Methods in Computational Mathematics 13
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- ZnO doping and properties 12
- Co-authors
- R. Verfürth (1 shared paper)D. Hommel (13 shared papers)Serge Nicaise (2 shared papers)Emmanuel Creusé (1 shared paper)S. Figge (7 shared papers)Serge Nicaise (1 shared paper)C. Kruse (7 shared papers)Glenn Hofmann (1 shared paper)
In The Last Decade
G. Kunert
30 papers receiving 498 citations
Peers
Comparison fields: 5 of 46
- Numerical Analysis 130
- Computational Mechanics 365
- Computational Theory and Mathematics 195
- Condensed Matter Physics 100
- Computer Graphics and Computer-Aided Design 24
Countries citing papers authored by G. Kunert
This map shows the geographic impact of G. Kunert'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 G. Kunert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Kunert more than expected).
Fields of papers citing papers by G. Kunert
This network shows the impact of papers produced by G. Kunert. 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 G. Kunert. The network helps show where G. Kunert may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Kunert, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 65 | |
| 2 | A posteriori error estimation for anisotropic tetrahedral and triangular finite element meshes | 1999 | 58 |
| 3 | 2000 | 48 | |
| 4 | 2013 | 45 | |
| 5 | 2001 | 40 | |
| 6 | 2002 | 29 | |
| 7 | 2004 | 27 | |
| 8 | 2009 | 26 | |
| 9 | 2004 | 24 | |
| 10 | 2001 | 24 | |
| 11 | 2003 | 21 | |
| 12 | 2018 | 19 | |
| 13 | 2003 | 16 | |
| 14 | 2001 | 14 | |
| 15 | 2001 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2002 | 10 | |
| 18 | 2002 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2017 | 8 |
About G. Kunert
G. Kunert is a scholar working on Computational Mechanics, Materials Chemistry, Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Numerical Analysis, having authored 30 papers that have together received 558 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (13 papers), ZnO doping and properties (12 papers), Ga2O3 and related materials (11 papers), GaN-based semiconductor devices and materials (11 papers), Differential Equations and Numerical Methods (9 papers), Advanced Mathematical Modeling in Engineering (7 papers), Numerical methods in engineering (4 papers) and Electromagnetic Simulation and Numerical Methods (3 papers). The work is most often cited by research in Numerical Analysis (130 citations), Computational Mechanics (365 citations), Computational Theory and Mathematics (195 citations), Condensed Matter Physics (100 citations) and Computer Graphics and Computer-Aided Design (24 citations). G. Kunert has collaborated with scholars based in Germany, Poland and France. Frequent co-authors include R. Verfürth, D. Hommel, Serge Nicaise, Emmanuel Creusé, S. Figge, Serge Nicaise, C. Kruse, Glenn Hofmann, N. Balakrishnan and R. Jakieła. Their work appears in journals such as Nanotechnology, Journal of Alloys and Compounds, Numerische Mathematik, IMA Journal of Numerical Analysis and 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.