Michael Biehl
Impact in
- Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Machine Learning and Algorithms
- AI in cancer detection
- Machine Learning and Data Classification
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- Face and Expression Recognition
Papers in
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- Neural Networks and Applications 111
- Machine Learning and Algorithms 15
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- Face and Expression Recognition 37
- Image Retrieval and Classification Techniques 19
- Advanced Image and Video Retrieval Techniques 15
- Co-authors
- Barbara Hammer (61 shared papers)Petra Schneider (26 shared papers)Thomas Villmann (53 shared papers)Kerstin Bunte (33 shared papers)Nicolai Petkov (15 shared papers)Timothy L. H. Watkin (1 shared paper)Albrecht Rau (1 shared paper)Joachim K. Anlauf (4 shared papers)
- Journals
- Neurocomputing (20 papers)Europhysics Letters (EPL) (13 papers)Journal of the American College of Cardiology (9 papers)Surface Science (4 papers)Computer Physics Communications (4 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Michael Biehl
294 papers receiving 5.4k citations
Michael Biehl's Hit Papers
Peers
Comparison fields: 5 of 199
- Artificial Intelligence 2.6k
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 505
- Statistical and Nonlinear Physics 408
- Media Technology 196
Countries citing papers authored by Michael Biehl
This map shows the geographic impact of Michael Biehl'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 Biehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Biehl more than expected).
Fields of papers citing papers by Michael Biehl
This network shows the impact of papers produced by Michael Biehl. 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 Biehl. The network helps show where Michael Biehl may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Biehl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 301 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 335 | |
| 2 | 2015 | 292 | |
| 3 | 2009 | 268 | |
| 4 | 1993 | 187 | |
| 5 | 2010 | 175 | |
| 6 | 1989 | 172 | |
| 7 | On-line Learning in Neural Networks | 1998 | 168 |
| 8 | Survey of feature selection and extraction techniques for stock market prediction Hit paper breakdown → | 2023 | 115 |
| 9 | 2015 | 114 | |
| 10 | 1995 | 110 | |
| 11 | 1999 | 109 | |
| 12 | 2016 | 103 | |
| 13 | 2007 | 82 | |
| 14 | 2011 | 81 | |
| 15 | 2012 | 78 | |
| 16 | 2009 | 75 | |
| 17 | Dynamics and Generalization Ability of LVQ Algorithms | 2007 | 74 |
| 18 | 2011 | 73 | |
| 19 | 2009 | 73 | |
| 20 | 1997 | 65 |
About Michael Biehl
Michael Biehl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology and Condensed Matter Physics, having authored 301 papers that have together received 5.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (111 papers), Face and Expression Recognition (37 papers), Blind Source Separation Techniques (20 papers), Theoretical and Computational Physics (20 papers), Image Retrieval and Classification Techniques (19 papers), nanoparticles nucleation surface interactions (18 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Machine Learning and Algorithms (15 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Computer Vision and Pattern Recognition (1.2k citations), Signal Processing (505 citations), Statistical and Nonlinear Physics (408 citations) and Media Technology (196 citations). Michael Biehl has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Barbara Hammer, Petra Schneider, Thomas Villmann, Kerstin Bunte, Nicolai Petkov, Timothy L. H. Watkin, Albrecht Rau, Joachim K. Anlauf, H Schwarze and Marcel F. Jonkman. Their work appears in journals such as Neurocomputing, Europhysics Letters (EPL), Journal of the American College of Cardiology, Surface Science and Computer Physics Communications.
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.