Martin Eigel

37 papers and 376 indexed citations i.

About

Martin Eigel is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, Martin Eigel has authored 37 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics, Probability and Uncertainty, 17 papers in Computational Mechanics and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Martin Eigel’s work include Probabilistic and Robust Engineering Design (23 papers), Model Reduction and Neural Networks (15 papers) and Advanced Numerical Methods in Computational Mathematics (14 papers). Martin Eigel is often cited by papers focused on Probabilistic and Robust Engineering Design (23 papers), Model Reduction and Neural Networks (15 papers) and Advanced Numerical Methods in Computational Mathematics (14 papers). Martin Eigel collaborates with scholars based in Germany, Switzerland and United States. Martin Eigel's co-authors include Elmar Zander, Claude Jeffrey Gittelson, Christoph Schwab, Reinhold Schneider, Christian Merdon, Max J. Pfeffer, Carsten Carstensen, Joscha Gedicke, S. Wolf and Christian Engwer and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and SIAM Journal on Numerical Analysis.

In The Last Decade

Co-authorship network of co-authors of Martin Eigel i

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.

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).

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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