Bernhard G. Bodmann
- Applied Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Radiation top 5%
- Signal Processing top 5%
- Co-authors
- Vern I. PaulsenPeter G. CasazzaRadu BălanDan EdidinDonald J. KouriGitta KutyniokMark TomfordePankaj K. Singh
- Topics
- Mathematical Analysis and Transform Methods (30 papers)Image and Signal Denoising Methods (18 papers)Digital Filter Design and Implementation (17 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Bernhard G. Bodmann
51 papers receiving 655 citations
Peers
Comparison fields: 5 of 61
- Applied Mathematics 380
- Computer Vision and Pattern Recognition 266
- Computational Mechanics 162
- Radiation 137
- Signal Processing 123
Countries citing papers authored by Bernhard G. Bodmann
This map shows the geographic impact of Bernhard G. Bodmann'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 Bernhard G. Bodmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard G. Bodmann more than expected).
Fields of papers citing papers by Bernhard G. Bodmann
This network shows the impact of papers produced by Bernhard G. Bodmann. 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 Bernhard G. Bodmann. The network helps show where Bernhard G. Bodmann may publish in the future.
Co-authorship network of co-authors of Bernhard G. Bodmann
This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard G. Bodmann. A scholar is included among the top collaborators of Bernhard G. Bodmann 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 Bernhard G. Bodmann. Bernhard G. Bodmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 70 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 9 | |
| 10 | 13 | |
| 11 | 27 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 28 | |
| 15 | 1 | |
| 16 | Sigma-Delta Modulators Without Feedback Around the Quantizer? | 2 |
| 17 | 35 | |
| 18 | 2 | |
| 19 | 69 | |
| 20 | 105 |
About Bernhard G. Bodmann
Bernhard G. Bodmann is a scholar working on Applied Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 705 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (30 papers), Image and Signal Denoising Methods (18 papers) and Digital Filter Design and Implementation (17 papers). The work is most often cited by research in Applied Mathematics (380 citations), Radiation (137 citations) and Computer Vision and Pattern Recognition (266 citations). Bernhard G. Bodmann has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Vern I. Paulsen, Peter G. Casazza, Radu Bălan, Dan Edidin, Donald J. Kouri, Gitta Kutyniok, Mark Tomforde, Pankaj K. Singh, David W. Kribs and Christopher L. Liner. Their work appears in journals such as Journal of Neurophysiology, IEEE Transactions on Information Theory and Geophysics.
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.