Herb Kunze

59 papers receiving 599 citations

Peers

Herb Kunze
Comparison fields: 5 of 77
  • Mathematical Physics 243
  • Modeling and Simulation 65
  • Computational Theory and Mathematics 188
  • Numerical Analysis 57
  • Statistical and Nonlinear Physics 108
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V. Mandrekar United States
S. R. Srinivasa Varadhan United States
Peter H. Baxendale United States
U. G. Haussmann Canada
Adam Bobrowski Poland
Fabio Camilli Italy
Fritz Colonius Germany
Tien-Yien Li United States
Paola Loreti Italy
Jiang-Lun Wu United Kingdom
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Citations per year

Countries citing papers authored by Herb Kunze

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Herb Kunze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Herb Kunze Line = papers co-authored together Herb Kunze links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201176
2 199955
3 200640
4 200436
5 201626
6 200925
7 200721
8 200318
9 201318
10 201517
11 201217
12 202316
13 199915
14 201414
15 200814
16 201513
17 202312
18 201212
19 200211
20 201211

About Herb Kunze

Herb Kunze is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Applied Mathematics and Economics and Econometrics, having authored 63 papers that have together received 636 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (21 papers), Numerical methods in inverse problems (12 papers), Advanced Mathematical Modeling in Engineering (11 papers), Functional Equations Stability Results (5 papers), Complex Systems and Time Series Analysis (5 papers), Economic theories and models (4 papers), Chaos control and synchronization (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Mathematical Physics (243 citations), Modeling and Simulation (65 citations), Computational Theory and Mathematics (188 citations), Numerical Analysis (57 citations) and Statistical and Nonlinear Physics (108 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 Inverse Problems, Nonlinear Analysis, Journal of Mathematical Analysis and Applications, Communications in Nonlinear Science and Numerical Simulation and Applied Mathematics Letters.

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.

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