Eizaburo Doi
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
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- Neuroscience and Neural Engineering
Papers in
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- Neural dynamics and brain function 7
- Visual perception and processing mechanisms 4
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- Retinal Development and Disorders 5
- Co-authors
- Michael S. Lewicki (7 shared papers)Thomas Wächtler (2 shared papers)Terrence J. Sejnowski (2 shared papers)Te-Won Lee (1 shared paper)Toshio Inui (1 shared paper)A. M. Litke (1 shared paper)E. J. Chichilnisky (1 shared paper)Greg D. Field (1 shared paper)
- Journals
- Neural Computation (2 papers)Journal of Vision (2 papers)IEEE Transactions on Image Processing (1 paper)Journal of Neuroscience (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Eizaburo Doi
10 papers receiving 242 citations
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 183
- Cellular and Molecular Neuroscience 46
- Biophysics 13
- Sensory Systems 10
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Eizaburo Doi
This map shows the geographic impact of Eizaburo Doi'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 Eizaburo Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eizaburo Doi more than expected).
Fields of papers citing papers by Eizaburo Doi
This network shows the impact of papers produced by Eizaburo Doi. 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 Eizaburo Doi. The network helps show where Eizaburo Doi may publish in the future.
Co-authors
The 18 scholars most cited alongside Eizaburo Doi, 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 | 2012 | 74 | |
| 2 | 2003 | 54 | |
| 3 | 2007 | 31 | |
| 4 | 2014 | 29 | |
| 5 | 2007 | 16 | |
| 6 | Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units | 2004 | 13 |
| 7 | A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels | 2005 | 12 |
| 8 | 2011 | 11 | |
| 9 | Relations between the statistical regularities of natural images and the response properties of the early visual system | 2005 | 8 |
| 10 | 2014 | 2 |
About Eizaburo Doi
Eizaburo Doi is a scholar working on Cognitive Neuroscience, Molecular Biology, Signal Processing, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 250 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Retinal Development and Disorders (5 papers), Visual perception and processing mechanisms (4 papers), Neural Networks and Applications (2 papers), Blind Source Separation Techniques (2 papers), Hermeneutics and Narrative Identity (1 paper), Color Science and Applications (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (183 citations), Cellular and Molecular Neuroscience (46 citations), Biophysics (13 citations), Sensory Systems (10 citations) and Computer Vision and Pattern Recognition (37 citations). Eizaburo Doi has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael S. Lewicki, Thomas Wächtler, Terrence J. Sejnowski, Te-Won Lee, Toshio Inui, A. M. Litke, E. J. Chichilnisky, Greg D. Field, Jonathon Shlens and Eero P. Simoncelli. Their work appears in journals such as Neural Computation, Journal of Vision, IEEE Transactions on Image Processing, Journal of Neuroscience and PLoS Computational Biology.
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.