W. R. Madych

86 total papers · 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), Advanced Numerical Analysis Techniques (15 papers) and Image and Signal Denoising Methods (15 papers). W. R. Madych is often cited by papers focused on Mathematical Analysis and Transform Methods (24 papers), Advanced Numerical Analysis Techniques (15 papers) and Image and Signal Denoising Methods (15 papers). W. R. Madych collaborates with scholars based in United States, Germany and Armenia. W. R. Madych's co-authors include S. A. Nelson, Karlheinz Gröchenig, Yurii Lyubarskii, F. J. Narcowich, Frank Filbir, N. M. Rivière, Rudolph A. Lorentz, 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

Author Peers

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

Author						Papers	Cites
W. R. Madych	651	554	455	285	206	57	1.4k
Jun Liu	279 0.4×	485 0.9×	233 0.5×	114 0.4×	270 1.3×	111	1.7k
Stefano De Marchı	431 0.7×	546 1.0×	429 0.9×	117 0.4×	82 0.4×	108	1.4k
Zongmin Wu	1.1k 1.6×	917 1.7×	120 0.3×	115 0.4×	150 0.7×	53	1.7k
Francis J. Narcowich	429 0.7×	508 0.9×	260 0.6×	191 0.7×	229 1.1×	38	1.5k
Roberto Cavoretto	577 0.9×	505 0.9×	93 0.2×	146 0.5×	58 0.3×	81	1.1k
Ulrich Tautenhahn	467 0.7×	314 0.6×	423 0.9×	151 0.5×	1.2k 6.0×	44	1.4k
Marco Donatelli	188 0.3×	630 1.1×	235 0.5×	372 1.3×	356 1.7×	101	1.4k
F. J. Narcowich	259 0.4×	348 0.6×	368 0.8×	185 0.6×	275 1.3×	43	1.2k
Siegfried Prößdorf	468 0.7×	306 0.6×	645 1.4×	129 0.5×	435 2.1×	50	1.5k
Ðinh Nho Hào	619 1.0×	272 0.5×	242 0.5×	148 0.5×	1.1k 5.5×	86	1.4k

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

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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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