W. R. Madych

2.1k total citations
57 papers, 1.4k citations indexed

About

W. R. Madych is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, W. R. Madych has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Applied Mathematics, 17 papers in Computer Vision and Pattern Recognition and 17 papers in Computational Mechanics. Recurrent topics in W. R. Madych's work include Mathematical Analysis and Transform Methods (24 papers), Image and Signal Denoising Methods (15 papers) and Advanced Numerical Analysis Techniques (15 papers). W. R. Madych is often cited by papers focused on Mathematical Analysis and Transform Methods (24 papers), Image and Signal Denoising Methods (15 papers) and Advanced Numerical Analysis Techniques (15 papers). W. R. Madych collaborates with scholars based in United States, Germany and Austria. W. R. Madych's co-authors include S. A. Nelson, Karlheinz Gröchenig, Yurii Lyubarskii, F. J. Narcowich, Frank Filbir, Rudolph A. Lorentz, N. M. Rivière, Philip W. Smith, Graham Allen and Charles K. Chui and has published in prestigious journals such as IEEE Transactions on Information Theory, Mathematics of Computation and Transactions of the American Mathematical Society.

In The Last Decade

W. R. Madych

51 papers receiving 1.3k citations

Peers

W. R. Madych
Comparison fields: 5 of 86
  • Mechanics of Materials 651
  • Computational Mechanics 554
  • Applied Mathematics 455
  • Computer Vision and Pattern Recognition 285
  • Mathematical Physics 206
Replace Stefano De Marchı with:
Stefano De Marchı Italy
Zongmin Wu China
S. A. Nelson United States
Ulrich Tautenhahn Germany
Tzon‐Tzer Lu Taiwan
Siegfried Prößdorf Germany
P. M. Prenter United States
Ðinh Nho Hào Vietnam
Sergei V. Pereverzev Austria
Bernd Hofmann Germany
Stefano De Marchı Italy View profile →
Citations per field, relative to W. R. Madych
W. R. Madych · 1×
Citations per year, relative to W. R. Madych
W. R. Madych · 1×

Countries citing papers authored by W. R. Madych

Since Specialization
Citations

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

Fields of papers citing papers by W. R. Madych

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. R. Madych. 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 W. R. Madych. The network helps show where W. R. Madych may publish in the future.

Co-authorship network of co-authors of W. R. Madych

This figure shows the co-authorship network connecting the top 25 collaborators of W. R. Madych. A scholar is included among the top collaborators of W. R. Madych 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 W. R. Madych. W. R. Madych 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 1
2
Convergence and summability of cardinal sine series
2
3 3
4 13
5 3
6 26
7 6
8 16
9 9
10 6
11 0
12 30
13 170
14 191
15 17
16 69
17 5
18 0
19 1
20 15

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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