Karl Kunisch
- Computational Mechanics top 0.05%
- Computational Theory and Mathematics top 0.05%
- Mathematical Physics top 0.1%
- Numerical Analysis top 0.1%
- Control and Systems Engineering top 0.5%
- Co-authors
- Kazufumi ItoStefan VolkweinMichael HintermüllerThomas PockKristian BrediesMaı̈tine BergouniouxHeinz W. EnglChristian Clason
- Topics
- Stability and Controllability of Differential Equations (89 papers)Advanced Numerical Methods in Computational Mathematics (88 papers)Numerical methods in inverse problems (87 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic ControlJournal of Computational Physics
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Karl Kunisch
315 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computational Mechanics 4.9k
- Computational Theory and Mathematics 4.0k
- Mathematical Physics 2.7k
- Numerical Analysis 2.4k
- Control and Systems Engineering 2.1k
Countries citing papers authored by Karl Kunisch
This map shows the geographic impact of Karl Kunisch'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 Karl Kunisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Kunisch more than expected).
Fields of papers citing papers by Karl Kunisch
This network shows the impact of papers produced by Karl Kunisch. 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 Karl Kunisch. The network helps show where Karl Kunisch may publish in the future.
Co-authorship network of co-authors of Karl Kunisch
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Kunisch. A scholar is included among the top collaborators of Karl Kunisch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karl Kunisch. Karl Kunisch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | Analysis of optimal control problems of semilinear elliptic equations by BV-functions | 3 |
| 13 | 13 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 24 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 8 |
About Karl Kunisch
Karl Kunisch is a scholar working on Numerical Analysis, Mathematical Physics and Computational Theory and Mathematics, having authored 330 papers that have together received 11.4k indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (89 papers), Advanced Numerical Methods in Computational Mathematics (88 papers) and Numerical methods in inverse problems (87 papers). The work is most often cited by research in Numerical Analysis (2.4k citations), Mathematical Physics (2.7k citations) and Computational Theory and Mathematics (4.0k citations). Karl Kunisch has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Kazufumi Ito, Stefan Volkwein, Michael Hintermüller, Thomas Pock, Kristian Bredies, Maı̈tine Bergounioux, Heinz W. Engl, Christian Clason, Michael Hinze and Andreas B. Neubauer. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Journal of Computational Physics.
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.