Michael Herrmann
Impact in
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- Nonlinear Photonic Systems
- Nonlinear Waves and Solitons
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Nonlinear Photonic Systems 14
- Nonlinear Waves and Solitons 11
-
- Neural Networks and Applications 8
- Co-authors
- Ralf Der (8 shared papers)Thomas Villmann (3 shared papers)Thomas Martinetz (1 shared paper)Barbara Niethammer (9 shared papers)Wolfgang Dreyer (3 shared papers)Clemens Guhlke (1 shared paper)Juan J. L. Velázquez (4 shared papers)W. Dreyer (2 shared papers)
- Journals
- Journal of Nonlinear Science (4 papers)Studies in Applied Mathematics (2 papers)Discrete and Continuous Dynamical Systems (2 papers)Multiscale Modeling and Simulation (2 papers)SIAM Journal on Mathematical Analysis (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Michael Herrmann
52 papers receiving 629 citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 128
- Artificial Intelligence 319
- Mathematical Physics 58
- Computer Vision and Pattern Recognition 131
- Signal Processing 61
Countries citing papers authored by Michael Herrmann
This map shows the geographic impact of Michael Herrmann'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 Michael Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Herrmann more than expected).
Fields of papers citing papers by Michael Herrmann
This network shows the impact of papers produced by Michael Herrmann. 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 Michael Herrmann. The network helps show where Michael Herrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Herrmann, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 247 | |
| 2 | Neural Networks, 1995. Proceedings., IEEE International Conference on | 1995 | 55 |
| 3 | 2011 | 41 | |
| 4 | 2006 | 22 | |
| 5 | Proc. ICANN'94, Int. Conf. on Artificial Neural Networks | 1994 | 20 |
| 6 | 2015 | 16 | |
| 7 | 2017 | 16 | |
| 8 | 2012 | 15 | |
| 9 | 2009 | 14 | |
| 10 | 2014 | 14 | |
| 11 | 2007 | 14 | |
| 12 | 2006 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 1997 | 10 | |
| 15 | 2004 | 10 | |
| 16 | 2009 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2011 | 8 | |
| 19 | 2011 | 8 | |
| 20 | 2013 | 8 |
About Michael Herrmann
Michael Herrmann is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics and Applied Mathematics, having authored 57 papers that have together received 694 indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (14 papers), Nonlinear Waves and Solitons (11 papers), Advanced Mathematical Modeling in Engineering (10 papers), Neural Networks and Applications (8 papers), Advanced Mathematical Physics Problems (7 papers), Navier-Stokes equation solutions (5 papers), Nonlinear Partial Differential Equations (4 papers) and Solidification and crystal growth phenomena (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (128 citations), Artificial Intelligence (319 citations), Mathematical Physics (58 citations), Computer Vision and Pattern Recognition (131 citations) and Signal Processing (61 citations). Michael Herrmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ralf Der, Thomas Villmann, Thomas Martinetz, Barbara Niethammer, Wolfgang Dreyer, Clemens Guhlke, Juan J. L. Velázquez, W. Dreyer, Claudia Díaz and Jun Shen. Their work appears in journals such as Journal of Nonlinear Science, Studies in Applied Mathematics, Discrete and Continuous Dynamical Systems, Multiscale Modeling and Simulation and SIAM Journal on Mathematical Analysis.
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.