Wolfgang Erb

699 total citations
53 papers, 426 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 426 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), Synthesis and characterization of novel inorganic/organometallic compounds (6 papers) and Numerical methods in inverse problems (6 papers). Wolfgang Erb is often cited by papers focused on Advanced Numerical Analysis Techniques (10 papers), Synthesis and characterization of novel inorganic/organometallic compounds (6 papers) and Numerical methods in inverse problems (6 papers). Wolfgang Erb collaborates with scholars based in Germany, Italy and United States. Wolfgang Erb's co-authors include L. Rösch, Francesco Marchetti, Stefano De Marchı, Christian Kaethner, Mandy Ahlborg, Tobias Knopp, Thorsten M. Buzug, Wolfgang Budde, Joachim Pickardt and Joanne C. Zwinkels 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

49 papers receiving 388 citations

Peers

Wolfgang Erb
Comparison fields: 5 of 87
  • Organic Chemistry 80
  • Applied Mathematics 76
  • Biomedical Engineering 74
  • Computational Mechanics 70
  • Aerospace Engineering 58
Replace Zhiyong Wang with:
Zhiyong Wang China
H. Ziegler Germany
Hongli An China
Kazuhisa ABE Japan
John E. Cochran United States
Paul D. Thomas United States
Mark Hilary Van Benthem United States
C. J. Chapman United Kingdom
Reza Abazari Iran
William R. Davis United States
Zhiyong Wang China View profile →
Citations per field, relative to Wolfgang Erb
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Citations per year, relative to Wolfgang Erb
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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

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 12
4 1
5 2
6 3
7 3
8
Linear Graph Convolutional Networks.
1
9 11
10 5
11 8
12
A survey on bivariate Lagrange interpolation on Lissajous nodes
8
13 0
14 6
15 5
16 11
17 4
18 5
19 8
20 7

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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