W. Niehsen
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Aerospace Engineering top 10%
- Signal Processing top 10%
- Co-authors
- Michael BrünigChristoph StillerLi LiJingyan SongFei‐Yue WangNanning ZhengAnita SellentDaniel Kondermann
- Topics
- Advanced Vision and Imaging (9 papers)Image and Signal Denoising Methods (6 papers)Advanced Data Compression Techniques (4 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on Aerospace and Electronic SystemsIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
W. Niehsen
18 papers receiving 427 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 182
- Artificial Intelligence 176
- Computer Networks and Communications 116
- Aerospace Engineering 95
- Signal Processing 93
Countries citing papers authored by W. Niehsen
This map shows the geographic impact of W. Niehsen'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. Niehsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Niehsen more than expected).
Fields of papers citing papers by W. Niehsen
This network shows the impact of papers produced by W. Niehsen. 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. Niehsen. The network helps show where W. Niehsen may publish in the future.
Co-authorship network of co-authors of W. Niehsen
This figure shows the co-authorship network connecting the top 25 collaborators of W. Niehsen. A scholar is included among the top collaborators of W. Niehsen 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. Niehsen. W. Niehsen 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 | 2 | |
| 3 | 2 | |
| 4 | 27 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 74 | |
| 8 | 11 | |
| 9 | 188 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 59 | |
| 15 | 20 | |
| 16 | 23 | |
| 17 | 4 | |
| 18 | Ein Algorithmus zur schnellen Bewegungsschätzung in Bildfolgen | 0 |
| 19 | 2 | |
| 20 | 1 |
About W. Niehsen
W. Niehsen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 21 papers that have together received 454 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Image and Signal Denoising Methods (6 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Signal Processing (93 citations) and Artificial Intelligence (176 citations). W. Niehsen has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Michael Brünig, Christoph Stiller, Li Li, Jingyan Song, Fei‐Yue Wang, Nanning Zheng, Anita Sellent, Daniel Kondermann, Göksel Dedeoǧlu and Simon Baker. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems and IEEE Transactions on Circuits and Systems for Video Technology.
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.