Jens Keuchel
- Ecology
- Media Technology top 5%
- Computer Vision and Pattern Recognition
- Global and Planetary Change
- Atmospheric Science
- Co-authors
- Matthias HeilerAlexander SiegmundChristoph SchnörrChristian SchellewaldDaniel CremersJohann L. HurinkMajeed RanaMadiha Rana
- Topics
- Sparse and Compressive Sensing Techniques (2 papers)Medical Image Segmentation Techniques (2 papers)Medical Imaging Techniques and Applications (1 paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceRemote Sensing of EnvironmentJournal of Cranio-Maxillofacial Surgery
- Partner nations
- GermanyNetherlands
In The Last Decade
Jens Keuchel
6 papers receiving 236 citations
Peers
Comparison fields: 5 of 73
- Ecology 70
- Media Technology 65
- Computer Vision and Pattern Recognition 56
- Global and Planetary Change 51
- Atmospheric Science 48
Countries citing papers authored by Jens Keuchel
This map shows the geographic impact of Jens Keuchel'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 Jens Keuchel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Keuchel more than expected).
Fields of papers citing papers by Jens Keuchel
This network shows the impact of papers produced by Jens Keuchel. 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 Jens Keuchel. The network helps show where Jens Keuchel may publish in the future.
Co-authorship network of co-authors of Jens Keuchel
This figure shows the co-authorship network connecting the top 25 collaborators of Jens Keuchel. A scholar is included among the top collaborators of Jens Keuchel 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 Jens Keuchel. Jens Keuchel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 34 | |
| 3 | 127 | |
| 4 | 62 | |
| 5 | Efficient graph cuts for unsupervised image segmentation using probabilistic sampling and SVD-based approximation | 8 |
| 6 | 16 |
About Jens Keuchel
Jens Keuchel is a scholar working on Numerical Analysis, Computer Vision and Pattern Recognition and Oral Surgery, having authored 6 papers that have together received 256 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (2 papers), Medical Image Segmentation Techniques (2 papers) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Media Technology (65 citations), Health Informatics (6 citations) and Numerical Analysis (19 citations). Jens Keuchel has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Matthias Heiler, Alexander Siegmund, Christoph Schnörr, Christian Schellewald, Daniel Cremers, Johann L. Hurink, Majeed Rana, Madiha Rana, Maximilian E.H. Wagner and Nils‐Claudius Gellrich. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing of Environment and Journal of Cranio-Maxillofacial Surgery.
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.