Herb Kunze
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 5%
- Applied Mathematics top 5%
- Economics and Econometrics top 10%
- Co-authors
- Edward R. VrscayDavide La TorreFranklin MendivilDavid SiegelVincenzo CapassoM. Ruiz GalánJason E. HickenSebastian Aniţa
- Topics
- Mathematical Dynamics and Fractals (20 papers)Numerical methods in inverse problems (11 papers)Advanced Mathematical Modeling in Engineering (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeural Networks
- Partner nations
- CanadaItalyUnited Arab Emirates
In The Last Decade
Herb Kunze
59 papers receiving 564 citations
Peers
Comparison fields: 5 of 77
- Mathematical Physics 218
- Computational Theory and Mathematics 178
- Statistical and Nonlinear Physics 93
- Applied Mathematics 91
- Economics and Econometrics 75
Countries citing papers authored by Herb Kunze
This map shows the geographic impact of Herb Kunze'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 Herb Kunze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herb Kunze more than expected).
Fields of papers citing papers by Herb Kunze
This network shows the impact of papers produced by Herb Kunze. 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 Herb Kunze. The network helps show where Herb Kunze may publish in the future.
Co-authorship network of co-authors of Herb Kunze
This figure shows the co-authorship network connecting the top 25 collaborators of Herb Kunze. A scholar is included among the top collaborators of Herb Kunze 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 Herb Kunze. Herb Kunze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | Continuous evolution of equations and inclusions involving set-valued contraction mappings with applications to generalized fractal transforms | 6 |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 18 | |
| 13 | 10 | |
| 14 | 17 | |
| 15 | 10 | |
| 16 | Parameter identification, population and economic growth in an extended Lucas and Uzawa-type two sector model | 1 |
| 17 | 12 | |
| 18 | 20 | |
| 19 | 39 | |
| 20 | 3 |
About Herb Kunze
Herb Kunze is a scholar working on Mathematical Physics, Modeling and Simulation and Applied Mathematics, having authored 61 papers that have together received 603 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (20 papers), Numerical methods in inverse problems (11 papers) and Advanced Mathematical Modeling in Engineering (10 papers). The work is most often cited by research in Mathematical Physics (218 citations), Modeling and Simulation (65 citations) and Computational Theory and Mathematics (178 citations). Herb Kunze has collaborated with scholars based in Canada, Italy and United Arab Emirates. Frequent co-authors include Edward R. Vrscay, Davide La Torre, Franklin Mendivil, David Siegel, Vincenzo Capasso, M. Ruiz Galán, Jason E. Hicken, Sebastian Aniţa, Sônia M. Gomes and Jason B. Ernst. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neural Networks.
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.