Jakob Kruse
Impact in
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- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in
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- Neural Networks and Applications 2
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- Advanced Vision and Imaging 1
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Carsten Rother (4 shared papers)Uwe Schmidt (1 shared paper)Ullrich Köthe (5 shared papers)Lynton Ardizzone (3 shared papers)Lena Maier‐Hein (2 shared papers)Sebastian Wirkert (2 shared papers)E. Pellegrini (1 shared paper)Daniel Rahner (1 shared paper)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (1 paper)arXiv (Cornell University) (2 papers)MPG.PuRe (Max Planck Society) (1 paper)Explore Bristol Research (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Jakob Kruse
6 papers receiving 156 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 85
- Media Technology 32
- Computational Mathematics 2
- Computational Mechanics 24
- Signal Processing 12
Countries citing papers authored by Jakob Kruse
This map shows the geographic impact of Jakob Kruse'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 Jakob Kruse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakob Kruse more than expected).
Fields of papers citing papers by Jakob Kruse
This network shows the impact of papers produced by Jakob Kruse. 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 Jakob Kruse. The network helps show where Jakob Kruse may publish in the future.
Co-authors
The 14 scholars most cited alongside Jakob Kruse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2018 | 60 | |
| 3 | 2019 | 15 | |
| 4 | 2021 | 15 | |
| 5 | HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. | 2019 | 3 |
| 6 | 2023 | 1 |
About Jakob Kruse
Jakob Kruse is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Surgery and Geochemistry and Petrology, having authored 6 papers that have together received 162 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Advanced Vision and Imaging (1 paper), Statistical Mechanics and Entropy (1 paper), Groundwater flow and contamination studies (1 paper), Hemodynamic Monitoring and Therapy (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (85 citations), Media Technology (32 citations), Computational Mathematics (2 citations), Computational Mechanics (24 citations) and Signal Processing (12 citations). Jakob Kruse has collaborated with scholars based in Germany and United States. Frequent co-authors include Carsten Rother, Uwe Schmidt, Ullrich Köthe, Lynton Ardizzone, Lena Maier‐Hein, Sebastian Wirkert, E. Pellegrini, Daniel Rahner, Ralf S. Klessen and Robert Scheichl. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, arXiv (Cornell University), MPG.PuRe (Max Planck Society) and Explore Bristol Research.
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.