Michael Herrmann

935 citations
45 papers · 500 indexed · h-index 10

Impact in

Papers in

Michael Herrmann

41 papers receiving 458 citations

Peers

Michael Herrmann
Comparison fields: 5 of 90
  • Statistical and Nonlinear Physics 97
  • Artificial Intelligence 200
  • Computer Vision and Pattern Recognition 97
  • Mathematical Physics 42
  • Computational Theory and Mathematics 62
Replace John A. Gubner with:
John A. Gubner United States
Bernhard Schmitzer Germany
O. Ragos Greece
Frédéric Cérou France
David A. Sprecher United States
Willi-Hans Steeb South Africa
Lénaïc Chizat France
Luca Nenna France
C. G. Troskie South Africa
Chen Gang China
Michael Herrmann relative to John A. Gubner United States John A. Gubner's profile →
Citations per field
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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-authorship network

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
#Work
1 20250
2 20240
3 20231
4 20232
5 20226
6 20202
7 20199
8
Privacy in Location-Based Services
20162
9 20140
10 20134
11 20138
12 20123
13 20115
14 20106
15 200913
16 20086
17
Expressing business process models as OWL-S ontologies
20065
18 20022
19 1997190
20
Neural Networks, 1995. Proceedings., IEEE International Conference on
199554

About Michael Herrmann

Michael Herrmann is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Applied Mathematics, Computational Theory and Mathematics and Artificial Intelligence, having authored 45 papers that have together received 500 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (10 papers), Nonlinear Photonic Systems (10 papers), Nonlinear Waves and Solitons (9 papers), Advanced Mathematical Physics Problems (6 papers), Navier-Stokes equation solutions (5 papers), Neural Networks and Applications (5 papers), Solidification and crystal growth phenomena (4 papers) and Nonlinear Partial Differential Equations (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (97 citations), Artificial Intelligence (200 citations), Computer Vision and Pattern Recognition (97 citations), Mathematical Physics (42 citations) and Computational Theory and Mathematics (62 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 Philippe Laurençot. Their work appears in journals such as Journal of Nonlinear Science, Studies in Applied Mathematics, SIAM Journal on Mathematical Analysis, Multiscale Modeling and Simulation and Continuum Mechanics and Thermodynamics.

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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