Ulrich Ramacher
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Hardware and Architecture top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Ulrich RückertArne HeittmannE. KohnH.-J. PfleidererTilman LangeJoachim M. BuhmannChristoph von der MalsburgChristian Sauer
- Topics
- Neural Networks and Applications (27 papers)CCD and CMOS Imaging Sensors (16 papers)Advanced Memory and Neural Computing (15 papers)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Ulrich Ramacher
48 papers receiving 503 citations
Peers
Comparison fields: 5 of 56
- Electrical and Electronic Engineering 356
- Artificial Intelligence 206
- Computer Networks and Communications 120
- Hardware and Architecture 110
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Ulrich Ramacher
This map shows the geographic impact of Ulrich Ramacher'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 Ulrich Ramacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Ramacher more than expected).
Fields of papers citing papers by Ulrich Ramacher
This network shows the impact of papers produced by Ulrich Ramacher. 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 Ulrich Ramacher. The network helps show where Ulrich Ramacher may publish in the future.
Co-authorship network of co-authors of Ulrich Ramacher
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Ramacher. A scholar is included among the top collaborators of Ulrich Ramacher 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 Ulrich Ramacher. Ulrich Ramacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 29 | |
| 8 | 0 | |
| 9 | A 53-GOPS programmable vision processor for processing, coding-decoding and synthesizing of images | 7 |
| 10 | 13 | |
| 11 | Robust digitization and digital non–uniformity correction in a single–chip CMOS camera | 1 |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 51 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | Systolic architectures for fast emulation of artificial neural networks | 7 |
| 20 | Microelectronics for artificial neural nets | 2 |
About Ulrich Ramacher
Ulrich Ramacher is a scholar working on Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 52 papers that have together received 545 indexed citations. Recurring topics across this work include Neural Networks and Applications (27 papers), CCD and CMOS Imaging Sensors (16 papers) and Advanced Memory and Neural Computing (15 papers). The work is most often cited by research in Hardware and Architecture (110 citations), Artificial Intelligence (206 citations) and Electrical and Electronic Engineering (356 citations). Ulrich Ramacher has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Ulrich Rückert, Arne Heittmann, E. Kohn, H.-J. Pfleiderer, Tilman Lange, Joachim M. Buhmann, Christoph von der Malsburg, Christian Sauer, Marcus Holmberg and Werner Hemmert. Their work appears in journals such as Physics Letters A, Computer and Neural Computation.
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.