W. Schneider
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
-
- Tactile and Sensory Interactions 2
- Neural dynamics and brain function 2
- Visual perception and processing mechanisms 2
-
- Neural Networks and Applications 2
- Co-authors
- C. von der Malsburg (2 shared papers)Robert Desimone (1 shared paper)Laura E. Thomas (1 shared paper)Heiner Deubel (2 shared papers)Michael S. Worden (1 shared paper)Jason Chein (1 shared paper)Robin Wellington (1 shared paper)
- Journals
- Perception (2 papers)NeuroImage (2 papers)International journal of computerized dentistry (1 paper)Biological Cybernetics (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
W. Schneider
8 papers receiving 898 citations
W. Schneider's Hit Papers
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 861
- Cellular and Molecular Neuroscience 228
- Sensory Systems 52
- Statistical and Nonlinear Physics 93
- Experimental and Cognitive Psychology 78
Countries citing papers authored by W. Schneider
This map shows the geographic impact of W. Schneider'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 W. Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Schneider more than expected).
Fields of papers citing papers by W. Schneider
This network shows the impact of papers produced by W. Schneider. 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 W. Schneider. The network helps show where W. Schneider may publish in the future.
Co-authors
The 7 scholars most cited alongside W. Schneider, 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 | A neural cocktail-party processor Hit paper breakdown → | 1986 | 747 |
| 2 | 1990 | 188 | |
| 3 | 1985 | 20 | |
| 4 | 1996 | 6 | |
| 5 | 1996 | 4 | |
| 6 | 1996 | 2 | |
| 7 | No compromises the new CEREC MC XL and inLab MC XL milling machines. | 2007 | 2 |
| 8 | 2000 | 1 |
About W. Schneider
W. Schneider is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Molecular Biology, General Dentistry and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 970 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Tactile and Sensory Interactions (2 papers), Neural dynamics and brain function (2 papers), Visual perception and processing mechanisms (2 papers), Dental Research and COVID-19 (1 paper), Dental Radiography and Imaging (1 paper), Blind Source Separation Techniques (1 paper) and Multisensory perception and integration (1 paper). The work is most often cited by research in Cognitive Neuroscience (861 citations), Cellular and Molecular Neuroscience (228 citations), Sensory Systems (52 citations), Statistical and Nonlinear Physics (93 citations) and Experimental and Cognitive Psychology (78 citations). W. Schneider has collaborated with scholars based in Germany and United States. Frequent co-authors include C. von der Malsburg, Robert Desimone, Laura E. Thomas, Heiner Deubel, Michael S. Worden, Jason Chein and Robin Wellington. Their work appears in journals such as Perception, NeuroImage, International journal of computerized dentistry, Biological Cybernetics and Computers in Biology and Medicine.
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.