Guido Walz

202 total papers · 611 total citations
38 papers, 420 citations indexed

About

Guido Walz is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Guido Walz has authored 38 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 10 papers in Numerical Analysis and 7 papers in Computational Theory and Mathematics. Recurrent topics in Guido Walz's work include Advanced Numerical Analysis Techniques (18 papers), Iterative Methods for Nonlinear Equations (8 papers) and Advanced machining processes and optimization (5 papers). Guido Walz is often cited by papers focused on Advanced Numerical Analysis Techniques (18 papers), Iterative Methods for Nonlinear Equations (8 papers) and Advanced machining processes and optimization (5 papers). Guido Walz collaborates with scholars based in Germany, Italy and United Kingdom. Guido Walz's co-authors include Kai Diethelm, Günther Nürnberger, Claude Brezinski, Jochen Schmidt, H. STAMM, Günter Meinardus, Bruno Brosowski, T. Fett, David J. Evans and Frank Zeilfelder and has published in prestigious journals such as Computers & Structures, International Journal of Fracture and Numerische Mathematik.

In The Last Decade

Guido Walz

35 papers receiving 372 citations

Author Peers

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

Author Last Decade Papers Cites
Guido Walz 190 187 117 107 56 38 420
Ying Wang 134 0.7× 136 0.7× 101 0.9× 85 0.8× 62 1.1× 46 462
İbrahim Çelik 211 1.1× 267 1.4× 61 0.5× 61 0.6× 118 2.1× 23 477
S.P. Qian 250 1.3× 207 1.1× 34 0.3× 126 1.2× 84 1.5× 27 493
Francesca Pitolli 98 0.5× 103 0.6× 149 1.3× 48 0.4× 30 0.5× 49 450
Łukasz Płociniczak 157 0.8× 225 1.2× 30 0.3× 160 1.5× 60 1.1× 44 420
Xiaoping Xu 132 0.7× 95 0.5× 133 1.1× 24 0.2× 33 0.6× 37 399
R. Jalilian 308 1.6× 293 1.6× 62 0.5× 71 0.7× 77 1.4× 34 429
Roman Wituła 121 0.6× 173 0.9× 28 0.2× 79 0.7× 50 0.9× 79 484
Mehdi Delkhosh 252 1.3× 352 1.9× 39 0.3× 52 0.5× 53 0.9× 46 479
D. J. Evans 270 1.4× 213 1.1× 66 0.6× 58 0.5× 40 0.7× 33 423

Countries citing papers authored by Guido Walz

Since Specialization
Citations

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

Fields of papers citing papers by Guido Walz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Walz

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