Ullrich J. Mönich

150 total papers · 750 total citations
99 papers, 532 citations indexed

About

Ullrich J. Mönich is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ullrich J. Mönich has authored 99 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Applied Mathematics, 41 papers in Computer Vision and Pattern Recognition and 26 papers in Signal Processing. Recurrent topics in Ullrich J. Mönich's work include Mathematical Analysis and Transform Methods (53 papers), Image and Signal Denoising Methods (35 papers) and Digital Filter Design and Implementation (26 papers). Ullrich J. Mönich is often cited by papers focused on Mathematical Analysis and Transform Methods (53 papers), Image and Signal Denoising Methods (35 papers) and Digital Filter Design and Implementation (26 papers). Ullrich J. Mönich collaborates with scholars based in Germany, United States and China. Ullrich J. Mönich's co-authors include Holger Boche, Till Quack, B.S. Manjunath, Thomas Sikora, Lutz Goldmann, Catherine M. Grgicak, Lauren E. Alfonse, Viveck R. Cadambe, Ken R. Duffy and Xinyang Li and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Ullrich J. Mönich

92 papers receiving 496 citations

Author Peers

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

Author Last Decade Papers Cites
Ullrich J. Mönich 229 213 105 99 74 99 532
Juliano B. Lima 114 0.5× 475 2.2× 117 1.1× 86 0.9× 42 0.6× 53 582
Antonio G. Garcı́a 395 1.7× 142 0.7× 85 0.8× 42 0.4× 129 1.7× 63 490
Shayne Waldron 284 1.2× 69 0.3× 64 0.6× 74 0.7× 58 0.8× 49 582
Götz E. Pfander 311 1.4× 218 1.0× 156 1.5× 20 0.2× 66 0.9× 59 520
Jinsong Leng 216 0.9× 180 0.8× 52 0.5× 16 0.2× 56 0.8× 55 493
Meir Katchalski 179 0.8× 92 0.4× 28 0.3× 228 2.3× 28 0.4× 58 525
Gabriele Steidl 99 0.4× 171 0.8× 77 0.7× 117 1.2× 55 0.7× 41 454
Hiroshi Maehara 84 0.4× 52 0.2× 21 0.2× 188 1.9× 45 0.6× 105 477
Knut Hüper 33 0.1× 138 0.6× 80 0.8× 81 0.8× 19 0.3× 57 504
Gézá Tóth 110 0.5× 155 0.7× 84 0.8× 333 3.4× 7 0.1× 74 616

Countries citing papers authored by Ullrich J. Mönich

Since Specialization
Citations

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

Fields of papers citing papers by Ullrich J. Mönich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ullrich J. Mönich. 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 Ullrich J. Mönich. The network helps show where Ullrich J. Mönich may publish in the future.

Co-authorship network of co-authors of Ullrich J. Mönich

This figure shows the co-authorship network connecting the top 25 collaborators of Ullrich J. Mönich. A scholar is included among the top collaborators of Ullrich J. Mönich 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 Ullrich J. Mönich. Ullrich J. Mönich 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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