J Eichhorn
Impact in
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- Neural dynamics and brain function
- Visual perception and processing mechanisms
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Papers in
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- Advanced Image and Video Retrieval Techniques 1
- Face and Expression Recognition 1
- Image and Signal Denoising Methods 1
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- Blind Source Separation Techniques 2
- Co-authors
- Fabian H. Sinz (1 shared paper)Matthias Bethge (1 shared paper)Olivier Chapelle (1 shared paper)Malte Kuß (1 shared paper)Carl Edward Rasmussen (1 shared paper)Andreas S. Tolias (1 shared paper)Bernhard Schölkopf (1 shared paper)Alexander Zien (1 shared paper)
- Journals
- PLoS Computational Biology (1 paper)MPG.PuRe (Max Planck Society) (2 papers)Cambridge University Engineering Department Publications Database (1 paper)
- Partner nations
- Germany
In The Last Decade
J Eichhorn
4 papers receiving 93 citations
Peers
Comparison fields: 5 of 38
- Cognitive Neuroscience 53
- Computer Vision and Pattern Recognition 34
- Media Technology 11
- Signal Processing 12
- Artificial Intelligence 21
Countries citing papers authored by J Eichhorn
This map shows the geographic impact of J Eichhorn'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 J Eichhorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Eichhorn more than expected).
Fields of papers citing papers by J Eichhorn
This network shows the impact of papers produced by J Eichhorn. 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 J Eichhorn. The network helps show where J Eichhorn may publish in the future.
Co-authors
The 11 scholars most cited alongside J Eichhorn, 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 | 2009 | 48 | |
| 2 | Object categorization with SVM: kernels for local features | 2004 | 30 |
| 3 | Prediction on Spike Data Using Kernel Algorithms | 2003 | 19 |
| 4 | Maximum-Margin Feature Combination for Detection and Categorization | 2005 | 2 |
About J Eichhorn
J Eichhorn is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Cognitive Neuroscience and Media Technology, having authored 4 papers that have together received 99 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Cell Image Analysis Techniques (1 paper), Remote-Sensing Image Classification (1 paper), Face and Expression Recognition (1 paper), Machine Learning and Data Classification (1 paper), Neural Networks and Applications (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Cognitive Neuroscience (53 citations), Computer Vision and Pattern Recognition (34 citations), Media Technology (11 citations), Signal Processing (12 citations) and Artificial Intelligence (21 citations). J Eichhorn has collaborated with scholars based in Germany. Frequent co-authors include Fabian H. Sinz, Matthias Bethge, Olivier Chapelle, Malte Kuß, Carl Edward Rasmussen, Andreas S. Tolias, Bernhard Schölkopf, Alexander Zien, Nikos K. Logothetis and Jason Weston. Their work appears in journals such as PLoS Computational Biology, MPG.PuRe (Max Planck Society) and Cambridge University Engineering Department Publications Database.
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.