Martin Eigel

36 papers receiving 316 citations

Peers

Martin Eigel
Comparison fields: 5 of 51
  • Computational Mathematics 46
  • Statistics, Probability and Uncertainty 197
  • Computational Mechanics 173
  • Statistical and Nonlinear Physics 79
  • Computational Theory and Mathematics 91
Replace Olivier Zahm with:
Olivier Zahm France
Zecheng Zhang United States
Charles Garrett United States
Maryam Mehri Dehnavi Canada
Eran Treister Israel
Anna Paszyńska Poland
Abhishek Halder United States
Michael K. Sain United States
Hadrien Montanelli United States
Markus Abel Germany
Martin Eigel relative to Olivier Zahm France Olivier Zahm's profile →
Citations per field
00.5×6.3×
Olivier Zahm · 1×
Citations per year

Countries citing papers authored by Martin Eigel

Since Specialization
Citations

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

Fields of papers citing papers by Martin Eigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin Eigel, 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 Martin Eigel Line = papers co-authored together Martin Eigel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201374
2 201538
3 201529
4 201624
5 201123
6 201917
7 201617
8 201612
9 20189
10 20189
11 20229
12 20179
13 20228
14 20188
15 20208
16 20146
17 20235
18 20154
19 20094
20 20143

About Martin Eigel

Martin Eigel is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Civil and Structural Engineering, having authored 40 papers that have together received 342 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (24 papers), Advanced Numerical Methods in Computational Mathematics (17 papers), Model Reduction and Neural Networks (13 papers), Advanced Mathematical Modeling in Engineering (8 papers), Tensor decomposition and applications (6 papers), Topology Optimization in Engineering (5 papers), Structural Health Monitoring Techniques (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Computational Mathematics (46 citations), Statistics, Probability and Uncertainty (197 citations), Computational Mechanics (173 citations), Statistical and Nonlinear Physics (79 citations) and Computational Theory and Mathematics (91 citations). Martin Eigel has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Christoph Schwab, Claude Jeffrey Gittelson, Christian Merdon, Reinhold Schneider, Joscha Gedicke, Carsten Carstensen, Max J. Pfeffer, Edda Klipp, Christian Engwer and Reinhold Schneider. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Computational Methods in Applied Mathematics, IMA Journal of Numerical Analysis, SIAM Journal on Scientific Computing and SIAM/ASA Journal on Uncertainty Quantification.

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