Michael Hüsken
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Signal Processing top 5%
- Time Series Analysis and Forecasting
Papers in
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- Neural Networks and Applications 6
- Evolutionary Algorithms and Applications 3
- Metaheuristic Optimization Algorithms Research 3
- Stochastic Gradient Optimization Techniques 1
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- Face recognition and analysis 2
- Co-authors
- Christian Igel (4 shared papers)Peter Stagge (2 shared papers)Michael Brauckmann (2 shared papers)Stefan Gehlen (2 shared papers)C. von der Malsburg (1 shared paper)Bernhard Sendhoff (2 shared papers)Marc Toussaint (1 shared paper)Yaochu Jin (1 shared paper)
- Journals
- Neurocomputing (2 papers)Connection Science (1 paper)Zeitschrift für wirtschaftlichen Fabrikbetrieb (1 paper)Studies in fuzziness and soft computing (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Michael Hüsken
11 papers receiving 1k citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 449
- Signal Processing 94
- Computer Vision and Pattern Recognition 194
- Computational Mathematics 4
- Computational Theory and Mathematics 79
Countries citing papers authored by Michael Hüsken
This map shows the geographic impact of Michael Hüsken'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 Michael Hüsken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hüsken more than expected).
Fields of papers citing papers by Michael Hüsken
This network shows the impact of papers produced by Michael Hüsken. 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 Michael Hüsken. The network helps show where Michael Hüsken may publish in the future.
Co-authors
The 13 scholars most cited alongside Michael Hüsken, 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 | 2003 | 357 | |
| 2 | 2003 | 286 | |
| 3 | Improving the Rprop Learning Algorithm | 2000 | 266 |
| 4 | 2006 | 108 | |
| 5 | 2005 | 22 | |
| 6 | 2002 | 18 | |
| 7 | 2002 | 17 | |
| 8 | 2000 | 12 | |
| 9 | Balancing learning and evolution | 2002 | 7 |
| 10 | 2004 | 6 | |
| 11 | 2001 | 1 |
About Michael Hüsken
Michael Hüsken is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Mechanical Engineering, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Evolutionary Algorithms and Applications (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Face recognition and analysis (2 papers), Advanced Multi-Objective Optimization Algorithms (1 paper), Time Series Analysis and Forecasting (1 paper), Advanced machining processes and optimization (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (449 citations), Signal Processing (94 citations), Computer Vision and Pattern Recognition (194 citations), Computational Mathematics (4 citations) and Computational Theory and Mathematics (79 citations). Michael Hüsken has collaborated with scholars based in Germany and United States. Frequent co-authors include Christian Igel, Peter Stagge, Michael Brauckmann, Stefan Gehlen, C. von der Malsburg, Bernhard Sendhoff, Marc Toussaint, Yaochu Jin, Christian Goerick and Markus Olhofer. Their work appears in journals such as Neurocomputing, Connection Science, Zeitschrift für wirtschaftlichen Fabrikbetrieb, Studies in fuzziness and soft computing and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.