Michael Herrmann

953 citations
58 papers · 698 · h-index 12

Impact in

Papers in

Michael Herrmann

53 papers receiving 643 citations

Peers

Michael Herrmann
Comparison fields: 5 of 94
  • Statistical and Nonlinear Physics 138
  • Artificial Intelligence 308
  • Mathematical Physics 63
  • Computer Vision and Pattern Recognition 126
  • Signal Processing 60
Replace Arnaud Guyader with:
Arnaud Guyader France
Lee Kenneth Jones United States
John A. Gubner United States
Nadia M. G. Al-Saidi Iraq
David A. Sprecher United States
Shintaro Mori Japan
Hà Quang Minh Italy
Olivier Catoni France
Yoav Zemel Switzerland
Yoshifusa Ito Japan
Michael Herrmann relative to Arnaud Guyader France Arnaud Guyader's profile →
Citations per field
00.5×1.5×
Arnaud Guyader · 1×
Citations per year

Countries citing papers authored by Michael Herrmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997242
2
Neural Networks, 1995. Proceedings., IEEE International Conference on
199553
3 201141
4 200621
5
Proc. ICANN'94, Int. Conf. on Artificial Neural Networks
199420
6 200716
7 201716
8 201516
9 200915
10 201415
11 201215
12
Asymptotic formulas for solitary waves in the high-energy limit of FPU-type chains
201513
13 200612
14 200411
15 201911
16 200910
17 19979
18 20138
19 20118
20 20168

About Michael Herrmann

Michael Herrmann is a scholar working on Statistical and Nonlinear Physics, Applied Mathematics, Mathematical Physics, Computational Theory and Mathematics and Artificial Intelligence, having authored 58 papers that have together received 698 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 (138 citations), Artificial Intelligence (308 citations), Mathematical Physics (63 citations), Computer Vision and Pattern Recognition (126 citations) and Signal Processing (60 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 Sören Auer. Their work appears in journals such as Journal of Nonlinear Science, Studies in Applied Mathematics, Physica D Nonlinear Phenomena, Discrete and Continuous Dynamical Systems 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.

Explore authors with similar magnitude of impact