Wolfgang Erb

115 total papers · 696 total citations
53 papers, 420 citations indexed

About

Wolfgang Erb is a scholar working on Applied Mathematics, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Wolfgang Erb has authored 53 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Applied Mathematics, 11 papers in Computational Mechanics and 9 papers in Computational Theory and Mathematics. Recurrent topics in Wolfgang Erb's work include Advanced Numerical Analysis Techniques (10 papers), Numerical methods in inverse problems (6 papers) and Mathematical Analysis and Transform Methods (6 papers). Wolfgang Erb is often cited by papers focused on Advanced Numerical Analysis Techniques (10 papers), Numerical methods in inverse problems (6 papers) and Mathematical Analysis and Transform Methods (6 papers). Wolfgang Erb collaborates with scholars based in Germany, Italy and United States. Wolfgang Erb's co-authors include L. Rösch, Mandy Ahlborg, Francesco Marchetti, Christian Kaethner, Stefano De Marchı, Tobias Knopp, Thorsten M. Buzug, Wolfgang Budde, Joanne C. Zwinkels and Norbert Bruncks and has published in prestigious journals such as Optics Express, IEEE Transactions on Medical Imaging and Pure and Applied Chemistry.

In The Last Decade

Wolfgang Erb

48 papers receiving 382 citations

Author Peers

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

Author Last Decade Papers Cites
Wolfgang Erb 80 75 73 71 59 53 420
Hyunji Kim 72 0.9× 10 0.1× 19 0.3× 43 0.6× 44 0.7× 35 408
Paul D. Thomas 74 0.9× 10 0.1× 27 0.4× 86 1.2× 45 0.8× 22 408
Michael A. Day 9 0.1× 17 0.2× 86 1.2× 63 0.9× 94 1.6× 30 418
V. F. Tarasov 30 0.4× 24 0.3× 22 0.3× 76 1.1× 29 0.5× 73 408
Thomas Kruse 63 0.8× 43 0.6× 62 0.8× 54 0.8× 44 0.7× 37 478
John W. Arthur 13 0.2× 8 0.1× 72 1.0× 32 0.5× 19 0.3× 28 386
P. Hugo 56 0.7× 20 0.3× 85 1.2× 28 0.4× 13 0.2× 26 448
K. J. Harrison 51 0.6× 21 0.3× 30 0.4× 5 0.1× 4 0.1× 41 434
Sachkov Vi 9 0.1× 28 0.4× 74 1.0× 9 0.1× 19 0.3× 94 470
Qi Guan 60 0.8× 9 0.1× 108 1.5× 37 0.5× 27 0.5× 27 389

Countries citing papers authored by Wolfgang Erb

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Erb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Erb

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