Martin Eigel

98 total papers · 548 total citations
39 papers, 334 citations indexed

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 39 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics, Probability and Uncertainty, 19 papers in Computational Mechanics and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Martin Eigel's work include Probabilistic and Robust Engineering Design (24 papers), Advanced Numerical Methods in Computational Mathematics (17 papers) and Model Reduction and Neural Networks (13 papers). Martin Eigel is often cited by papers focused on Probabilistic and Robust Engineering Design (24 papers), Advanced Numerical Methods in Computational Mathematics (17 papers) and Model Reduction and Neural Networks (13 papers). Martin Eigel collaborates with scholars based in Germany, Switzerland and United States. Martin Eigel's co-authors include Claude Jeffrey Gittelson, Christoph Schwab, Christian Merdon, Reinhold Schneider, Max J. Pfeffer, Christian Engwer, Edda Klipp, Carsten Carstensen, Joscha Gedicke and Reinhold Schneider 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

Martin Eigel

36 papers receiving 309 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Martin Eigel	194	170	89	77	45	39	334
Alex Gorodetsky	179 0.9×	24 0.1×	87 1.0×	75 1.0×	25 0.6×	54	377
Yeonjong Shin	85 0.4×	102 0.6×	26 0.3×	170 2.2×	4 0.1×	20	334
Qifeng Liao	108 0.6×	105 0.6×	38 0.4×	193 2.5×	7 0.2×	34	362
Alexey Chernov	105 0.5×	91 0.5×	128 1.4×	29 0.4×	3 0.1×	40	318
Leonardo Robol	37 0.2×	30 0.2×	168 1.9×	49 0.6×	23 0.5×	44	371
Thomas M. Surowiec	112 0.6×	57 0.3×	259 2.9×	17 0.2×	9 0.2×	38	380
Tomáš Vejchodský	18 0.1×	185 1.1×	110 1.2×	68 0.9×	11 0.2×	34	326
W. Vetter	45 0.2×	14 0.1×	88 1.0×	32 0.4×	5 0.1×	35	357
Panos Stinis	55 0.3×	61 0.4×	21 0.2×	153 2.0×		42	382
Patrick Kürschner	65 0.3×	129 0.8×	128 1.4×	278 3.6×	22 0.5×	27	378

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-authorship network of co-authors of Martin Eigel

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

All Works

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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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