Heiko Wersing
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- Neural dynamics and brain function 6
- Face Recognition and Perception 3
- Visual perception and processing mechanisms 3
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- Image Retrieval and Classification Techniques 3
- Artificial Intelligence top 10%
- Neural Networks and Applications 4
- Machine Learning and Algorithms 2
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- Morphological variations and asymmetry 3
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- Image Processing Techniques and Applications 3
- Co-authors
- Helge RitterJochen J. SteilWolf‐Jürgen BeynEdgar KörnerChristian GoerickBernhard SendhoffMark DunnHorst–Michael Groß
- Journals
- Neural Computation (3 papers)International Journal of Social Robotics (1 paper)Memetic Computing (1 paper)
- Partner nations
- GermanyJapanUnited Kingdom
In The Last Decade
Heiko Wersing
19 papers receiving 251 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 90
- Computer Vision and Pattern Recognition 81
- Artificial Intelligence 124
- Computer Networks and Communications 72
- Statistical and Nonlinear Physics 33
Countries citing papers authored by Heiko Wersing
This map shows the geographic impact of Heiko Wersing'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 Heiko Wersing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko Wersing more than expected).
Fields of papers citing papers by Heiko Wersing
This network shows the impact of papers produced by Heiko Wersing. 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 Heiko Wersing. The network helps show where Heiko Wersing may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Heiko Wersing, 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 | 2020 | 6 | |
| 2 | 2020 | 3 | |
| 3 | Efficient accuracy estimation for instance-based incremental active learning. | 2018 | 1 |
| 4 | 2012 | 5 | |
| 5 | 2010 | 1 | |
| 6 | Correlating Shape and Functional Properties Using Decomposition Approaches | 2010 | 1 |
| 7 | Finding Correlations in Multimodal Data Using Decomposition Approaches | 2010 | 1 |
| 8 | 2009 | 13 | |
| 9 | 2008 | 2 | |
| 10 | 2007 | 11 | |
| 11 | 2006 | 22 | |
| 12 | 2006 | 17 | |
| 13 | 2005 | 25 | |
| 14 | 2004 | 12 | |
| 15 | Learning Lateral Interactions for Feature Binding and Sensory Segmentation | 2001 | 6 |
| 16 | 2001 | 59 | |
| 17 | 2001 | 69 | |
| 18 | A neural network architecture for automatic segmentation of fluorescence micrographs. | 2000 | 2 |
| 19 | Feature Binding and Relaxation Labeling with the Competitive Layer Model | 1999 | 7 |
About Heiko Wersing
Heiko Wersing is a scholar working on Biophysics, Cognitive Neuroscience and Geometry and Topology, having authored 19 papers that have together received 263 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neural Networks and Applications (4 papers), Face Recognition and Perception (3 papers), Visual perception and processing mechanisms (3 papers), Morphological variations and asymmetry (3 papers), Image Retrieval and Classification Techniques (3 papers), Image Processing Techniques and Applications (3 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Cognitive Neuroscience (90 citations), Computer Vision and Pattern Recognition (81 citations) and Artificial Intelligence (124 citations). Heiko Wersing has collaborated with scholars based in Germany, Japan and United Kingdom. Frequent co-authors include Helge Ritter, Jochen J. Steil, Wolf‐Jürgen Beyn, Edgar Körner, Christian Goerick, Bernhard Sendhoff, Mark Dunn, Horst–Michael Groß, Marc Hanheide and Sven Wachsmuth. Their work appears in journals such as Neural Computation, International Journal of Social Robotics, Memetic Computing, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Cognitive Processing.
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.