O. Matan
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Media Technology top 10%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 6
- Image Processing and 3D Reconstruction 2
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- Neural Networks and Applications 5
- Speech Recognition and Synthesis 2
- Natural Language Processing Techniques 2
- Fuzzy Logic and Control Systems 1
- Co-authors
- Yann LeCun (3 shared papers)Christopher J. C. Burges (3 shared papers)John S. Denker (1 shared paper)J. S. Denker (6 shared papers)Y. Le Cun (4 shared papers)W. Hubbard (3 shared papers)Bernhard E. Boser (4 shared papers)Henry S. Baird (3 shared papers)
- Journals
- Computer (1 paper)Open Research Online - ORO (The Open University) (1 paper)neural information processing systems (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
O. Matan
8 papers receiving 272 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 200
- Media Technology 47
- Artificial Intelligence 156
- Human-Computer Interaction 15
- Signal Processing 27
Countries citing papers authored by O. Matan
This map shows the geographic impact of O. Matan'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 O. Matan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O. Matan more than expected).
Fields of papers citing papers by O. Matan
This network shows the impact of papers produced by O. Matan. 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 O. Matan. The network helps show where O. Matan may publish in the future.
Co-authors
The 19 scholars most cited alongside O. Matan, 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 | 2002 | 127 | |
| 2 | Multi-Digit Recognition Using a Space Displacement Neural Network | 1991 | 101 |
| 3 | 1992 | 33 | |
| 4 | Handwritten character recognition using neural network architectures | 1990 | 23 |
| 5 | 2003 | 14 | |
| 6 | 2002 | 2 | |
| 7 | 2002 | 1 | |
| 8 | Ensembles for supervised classification learning | 1996 | 1 |
About O. Matan
O. Matan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Ocean Engineering and Control and Systems Engineering, having authored 8 papers that have together received 302 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Neural Networks and Applications (5 papers), Image Processing and 3D Reconstruction (2 papers), Speech Recognition and Synthesis (2 papers), Natural Language Processing Techniques (2 papers), Fuzzy Logic and Control Systems (1 paper), Speech and Audio Processing (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (200 citations), Media Technology (47 citations), Artificial Intelligence (156 citations), Human-Computer Interaction (15 citations) and Signal Processing (27 citations). O. Matan has collaborated with scholars based in United States and Germany. Frequent co-authors include Yann LeCun, Christopher J. C. Burges, John S. Denker, J. S. Denker, Y. Le Cun, W. Hubbard, Bernhard E. Boser, Henry S. Baird, Richard E. Howard and D. Henderson. Their work appears in journals such as Computer, Open Research Online - ORO (The Open University) and neural information processing systems.
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.