Ralph Linsker
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Signal Processing top 2%
- Blind Source Separation Techniques
Papers in
-
- Neural Networks and Applications 11
-
- Neural dynamics and brain function 9
- Co-authors
- G. Grinstein (5 shared papers)Alina Beygelzimer (2 shared papers)Irina Rish (2 shared papers)J. J. Wynne (5 shared papers)R. Srinivasan (1 shared paper)Daniel R. Alonso (1 shared paper)Sameh Asaad (1 shared paper)G. Tom Shires (3 shared papers)
- Journals
- Neural Computation (3 papers)Neural Networks (2 papers)Journal of Vascular Surgery (2 papers)ACM Transactions on Reconfigurable Technology and Systems (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Ralph Linsker
29 papers receiving 2.1k citations
Ralph Linsker's Hit Papers
Peers
Comparison fields: 5 of 140
- Cognitive Neuroscience 782
- Signal Processing 392
- Artificial Intelligence 1.2k
- Statistical and Nonlinear Physics 351
- Computer Vision and Pattern Recognition 434
Countries citing papers authored by Ralph Linsker
This map shows the geographic impact of Ralph Linsker'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 Ralph Linsker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Linsker more than expected).
Fields of papers citing papers by Ralph Linsker
This network shows the impact of papers produced by Ralph Linsker. 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 Ralph Linsker. The network helps show where Ralph Linsker may publish in the future.
Co-authors
The 21 scholars most cited alongside Ralph Linsker, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Self-organization in a perceptual network Hit paper breakdown → | 1988 | 1029 |
| 2 | 1989 | 188 | |
| 3 | 1992 | 176 | |
| 4 | 2005 | 170 | |
| 5 | 1984 | 119 | |
| 6 | An Application of the Principle of Maximum Information Preservation to Linear Systems | 1988 | 109 |
| 7 | From basic network principles to neural architecture | 1986 | 92 |
| 8 | 2005 | 60 | |
| 9 | 1997 | 42 | |
| 10 | 1984 | 39 | |
| 11 | 2006 | 36 | |
| 12 | 2005 | 35 | |
| 13 | Towards an Organizing Principle for a Layered Perceptual Network | 1987 | 33 |
| 14 | 2014 | 30 | |
| 15 | 2008 | 27 | |
| 16 | From basic network principles to neural architecture (series) | 1986 | 25 |
| 17 | Deriving Receptive Fields Using an Optimal Encoding Criterion | 1992 | 22 |
| 18 | 1988 | 20 | |
| 19 | 1988 | 19 | |
| 20 | 2008 | 16 |
About Ralph Linsker
Ralph Linsker is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Statistical and Nonlinear Physics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Neural dynamics and brain function (9 papers), Coronary Interventions and Diagnostics (3 papers), Blind Source Separation Techniques (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Advanced Queuing Theory Analysis (2 papers), Dermatologic Treatments and Research (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Cognitive Neuroscience (782 citations), Signal Processing (392 citations), Artificial Intelligence (1.2k citations), Statistical and Nonlinear Physics (351 citations) and Computer Vision and Pattern Recognition (434 citations). Ralph Linsker has collaborated with scholars based in United States. Frequent co-authors include G. Grinstein, Alina Beygelzimer, Irina Rish, J. J. Wynne, R. Srinivasan, Daniel R. Alonso, Sameh Asaad, G. Tom Shires, L Prevosti and Carl G. Becker. Their work appears in journals such as Neural Computation, Neural Networks, Journal of Vascular Surgery, ACM Transactions on Reconfigurable Technology and Systems and Physical Review Letters.
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.