Ullrich J. Mönich
- Applied Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computational Theory and Mathematics top 5%
- Mathematical Physics top 10%
- Co-authors
- Holger BocheTill QuackB.S. ManjunathThomas SikoraLutz GoldmannCatherine M. GrgicakXinyang LiMuriel Médard
- Topics
- Mathematical Analysis and Transform Methods (53 papers)Image and Signal Denoising Methods (35 papers)Digital Filter Design and Implementation (26 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingIEEE Journal on Selected Areas in Communications
- Partner nations
- GermanyUnited StatesIreland
In The Last Decade
Ullrich J. Mönich
92 papers receiving 497 citations
Peers
Comparison fields: 5 of 48
- Applied Mathematics 228
- Computer Vision and Pattern Recognition 213
- Signal Processing 106
- Computational Theory and Mathematics 99
- Mathematical Physics 74
Countries citing papers authored by Ullrich J. Mönich
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 18 | |
| 16 | 0 | |
| 17 | 4 | |
| 18 | 8 | |
| 19 | 19 | |
| 20 | 9 |
About Ullrich J. Mönich
Ullrich J. Mönich is a scholar working on Applied Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 533 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (53 papers), Image and Signal Denoising Methods (35 papers) and Digital Filter Design and Implementation (26 papers). The work is most often cited by research in Applied Mathematics (228 citations), Computer Vision and Pattern Recognition (213 citations) and Signal Processing (106 citations). Ullrich J. Mönich has collaborated with scholars based in Germany, United States and Ireland. Frequent co-authors include Holger Boche, Till Quack, B.S. Manjunath, Thomas Sikora, Lutz Goldmann, Catherine M. Grgicak, Xinyang Li, Muriel Médard, Lauren E. Alfonse and Ken R. Duffy. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.
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.