Oswin Krause
Impact in
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- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Evolutionary Algorithms and Applications 4
- Metaheuristic Optimization Algorithms Research 4
- Neural Networks and Applications 3
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- Generative Adversarial Networks and Image Synthesis 3
- Co-authors
- Christian Igel (8 shared papers)Tobias Glasmachers (3 shared papers)Asja Fischer (2 shared papers)Tariq Osman Andersen (2 shared papers)Helen Høgh Petersen (2 shared papers)Jesper Hastrup Svendsen (2 shared papers)Jonas Moll (2 shared papers)Aasa Feragen (2 shared papers)
- Journals
- Artificial Intelligence (1 paper)Physical Review Applied (1 paper)EP Europace (1 paper)Electronics (1 paper)Breast Cancer (1 paper)
- Partner nations
- DenmarkGermanyNetherlands
In The Last Decade
Oswin Krause
20 papers receiving 140 citations
Peers
Comparison fields: 5 of 47
- Health Informatics 5
- Artificial Intelligence 71
- Computational Theory and Mathematics 24
- Cardiology and Cardiovascular Medicine 29
- Computer Vision and Pattern Recognition 21
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-authors
The 25 scholars most cited alongside Oswin Krause, 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 | 2018 | 30 | |
| 2 | 2015 | 18 | |
| 3 | CMA-ES with optimal covariance update and storage complexity | 2016 | 16 |
| 4 | 2022 | 11 | |
| 5 | 2023 | 11 | |
| 6 | 2019 | 10 | |
| 7 | 2015 | 10 | |
| 8 | 2017 | 7 | |
| 9 | 2022 | 6 | |
| 10 | Approximation properties of DBNs with binary hidden units and real-valued visible units | 2013 | 6 |
| 11 | 2022 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2011 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 | |
| 19 | A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model | 2020 | 1 |
| 20 | 2023 | 1 |
About Oswin Krause
Oswin Krause is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 144 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Neural Networks and Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Model Reduction and Neural Networks (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (71 citations), Computational Theory and Mathematics (24 citations), Cardiology and Cardiovascular Medicine (29 citations) and Computer Vision and Pattern Recognition (21 citations). Oswin Krause has collaborated with scholars based in Denmark, Germany and Netherlands. Frequent co-authors include Christian Igel, Tobias Glasmachers, Asja Fischer, Tariq Osman Andersen, Helen Høgh Petersen, Jesper Hastrup Svendsen, Jonas Moll, Aasa Feragen, Anasua Chatterjee and Ferdinand Kuemmeth. Their work appears in journals such as Artificial Intelligence, Physical Review Applied, EP Europace, Electronics and Breast Cancer.
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.