Ralf Zimmermann

1.8k total citations
47 papers, 1.1k citations indexed

About

Ralf Zimmermann is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, Ralf Zimmermann has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistical and Nonlinear Physics, 23 papers in Statistics, Probability and Uncertainty and 19 papers in Computational Theory and Mathematics. Recurrent topics in Ralf Zimmermann's work include Model Reduction and Neural Networks (25 papers), Probabilistic and Robust Engineering Design (23 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). Ralf Zimmermann is often cited by papers focused on Model Reduction and Neural Networks (25 papers), Probabilistic and Robust Engineering Design (23 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). Ralf Zimmermann collaborates with scholars based in Germany, Denmark and United States. Ralf Zimmermann's co-authors include Stefan Görtz, Zhonghua Han, Karen Willcox, Thomas Franz, Benjamin Peherstorfer, Carsten Othmer, P.-A. Absil, Kai Cheng, Knut Hüper and Kai Cheng and has published in prestigious journals such as AIAA Journal, SIAM Journal on Scientific Computing and Journal of Computational and Applied Mathematics.

In The Last Decade

Ralf Zimmermann

43 papers receiving 1.1k citations

Peers

Ralf Zimmermann
Comparison fields: 5 of 74
  • Statistics, Probability and Uncertainty 663
  • Computational Theory and Mathematics 498
  • Statistical and Nonlinear Physics 485
  • Computational Mechanics 363
  • Management Science and Operations Research 184
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Citations per field, relative to Ralf Zimmermann
Ralf Zimmermann · 1×
Citations per year, relative to Ralf Zimmermann
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Countries citing papers authored by Ralf Zimmermann

Since Specialization
Citations

This map shows the geographic impact of Ralf Zimmermann'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 Ralf Zimmermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Zimmermann more than expected).

Fields of papers citing papers by Ralf Zimmermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralf Zimmermann. 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 Ralf Zimmermann. The network helps show where Ralf Zimmermann may publish in the future.

Co-authorship network of co-authors of Ralf Zimmermann

This figure shows the co-authorship network connecting the top 25 collaborators of Ralf Zimmermann. A scholar is included among the top collaborators of Ralf Zimmermann 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 Ralf Zimmermann. Ralf Zimmermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 20
4 2
5 5
6 2
7 8
8 18
9
A closed-form update for orthogonal matrix decompositions under arbitrary rank-one modifications
4
10 21
11 11
12 77
13 20
14 35
15 5
16 39
17 99
18
Non-Linear POD-based Reduced Order Models for Steady Turbulent Aerodynamics
7
19
On Improving Efficiency and Accuracy of Variable-Fidelity Surrogate Modeling in Aero-data for Loads Context
21
20 10

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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