Martin Väth

116 total papers · 733 total citations
76 papers, 517 citations indexed

About

Martin Väth is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Martin Väth has authored 76 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Applied Mathematics, 38 papers in Mathematical Physics and 30 papers in Computational Theory and Mathematics. Recurrent topics in Martin Väth's work include Nonlinear Differential Equations Analysis (20 papers), Advanced Mathematical Modeling in Engineering (19 papers) and Stability and Controllability of Differential Equations (19 papers). Martin Väth is often cited by papers focused on Nonlinear Differential Equations Analysis (20 papers), Advanced Mathematical Modeling in Engineering (19 papers) and Stability and Controllability of Differential Equations (19 papers). Martin Väth collaborates with scholars based in Germany, Czechia and Italy. Martin Väth's co-authors include Milan Kučera, Jan Eisner, Jürgen Appell, Hussein A. H. Salem, Ján Andres, Irene Benedetti, Alfonso Vignoli, In‐Sook Kim, Yun-Ho Kim and W. A. J. Luxemburg and has published in prestigious journals such as Lecture notes in mathematics, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Martin Väth

68 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Martin Väth 331 176 172 161 149 76 517
Jacobo Pejsachowicz 245 0.7× 206 1.2× 184 1.1× 150 0.9× 67 0.4× 44 490
David Cheban 306 0.9× 111 0.6× 159 0.9× 108 0.7× 370 2.5× 63 564
Alfonso Vignoli 229 0.7× 178 1.0× 247 1.4× 173 1.1× 98 0.7× 31 538
Waldyr M. Oliva 92 0.3× 96 0.5× 112 0.7× 106 0.7× 248 1.7× 45 482
Marina Murillo‐Arcila 210 0.6× 152 0.9× 41 0.2× 50 0.3× 73 0.5× 62 504
Norbert Hungerbühler 350 1.1× 158 0.9× 299 1.7× 87 0.5× 45 0.3× 69 571
Antonín Slavík 404 1.2× 76 0.4× 81 0.5× 90 0.6× 191 1.3× 43 544
Yu. I. Lyubich 266 0.8× 266 1.5× 222 1.3× 83 0.5× 158 1.1× 42 589
Mihail Megan 471 1.4× 133 0.8× 173 1.0× 80 0.5× 513 3.4× 84 597
Joachim von Below 107 0.3× 254 1.4× 257 1.5× 85 0.5× 117 0.8× 29 463

Countries citing papers authored by Martin Väth

Since Specialization
Citations

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

Fields of papers citing papers by Martin Väth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Väth

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Väth. A scholar is included among the top collaborators of Martin Väth 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 Väth. Martin Väth 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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