Oswin Krause
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
- Atomic and Molecular Physics, and Optics
- Co-authors
- Christian IgelTobias GlasmachersAsja FischerJonas MollTariq Osman AndersenHelen Høgh PetersenJesper Hastrup SvendsenAasa Feragen
- Topics
- Metaheuristic Optimization Algorithms Research (4 papers)Evolutionary Algorithms and Applications (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAstronomy and Astrophysics
- Partner nations
- DenmarkGermanyNetherlands
In The Last Decade
Oswin Krause
20 papers receiving 140 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 71
- Cardiology and Cardiovascular Medicine 29
- Computational Theory and Mathematics 24
- Computer Vision and Pattern Recognition 21
- Atomic and Molecular Physics, and Optics 15
Countries citing papers authored by Oswin Krause
This map shows the geographic impact of Oswin Krause'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 Oswin Krause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oswin Krause more than expected).
Fields of papers citing papers by Oswin Krause
This network shows the impact of papers produced by Oswin Krause. 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 Oswin Krause. The network helps show where Oswin Krause may publish in the future.
Co-authorship network of co-authors of Oswin Krause
This figure shows the co-authorship network connecting the top 25 collaborators of Oswin Krause. A scholar is included among the top collaborators of Oswin Krause 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 Oswin Krause. Oswin Krause 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 | 11 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model | 1 |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 30 | |
| 15 | 7 | |
| 16 | CMA-ES with optimal covariance update and storage complexity | 16 |
| 17 | 18 | |
| 18 | 10 | |
| 19 | Approximation properties of DBNs with binary hidden units and real-valued visible units | 6 |
| 20 | 2 |
About Oswin Krause
Oswin Krause is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 144 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Evolutionary Algorithms and Applications (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (71 citations) and Computational Theory and Mathematics (24 citations). Oswin Krause has collaborated with scholars based in Denmark, Germany and Netherlands. Frequent co-authors include Christian Igel, Tobias Glasmachers, Asja Fischer, Jonas Moll, Tariq Osman Andersen, Helen Høgh Petersen, Jesper Hastrup Svendsen, Aasa Feragen, Anasua Chatterjee and Ferdinand Kuemmeth. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Astronomy and Astrophysics.
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.