David L. Sheinberg
- Cognitive Neuroscience top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Cellular and Molecular Neuroscience top 5%
- Experimental and Cognitive Psychology top 2%
- Social Psychology top 5%
- Co-authors
- Nikos K. LogothetisDavid A. LeopoldGregory J. ZelinskyJames W. TanakaTim CurranRyan E. B. MruczekLisa S. ScottBritt Anderson
- Topics
- Visual perception and processing mechanisms (34 papers)Neural dynamics and brain function (29 papers)Face Recognition and Perception (15 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
David L. Sheinberg
51 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 2.9k
- Computer Vision and Pattern Recognition 543
- Cellular and Molecular Neuroscience 491
- Experimental and Cognitive Psychology 478
- Social Psychology 324
Countries citing papers authored by David L. Sheinberg
This map shows the geographic impact of David L. Sheinberg'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 David L. Sheinberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Sheinberg more than expected).
Fields of papers citing papers by David L. Sheinberg
This network shows the impact of papers produced by David L. Sheinberg. 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 David L. Sheinberg. The network helps show where David L. Sheinberg may publish in the future.
Co-authorship network of co-authors of David L. Sheinberg
This figure shows the co-authorship network connecting the top 25 collaborators of David L. Sheinberg. A scholar is included among the top collaborators of David L. Sheinberg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David L. Sheinberg. David L. Sheinberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 60 | |
| 6 | Neural representation of action sequences: how far can a simple snippet-matching model take us? | 5 |
| 7 | 76 | |
| 8 | 9 | |
| 9 | 101 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 23 | |
| 13 | 75 | |
| 14 | 60 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | 50 | |
| 18 | 8 | |
| 19 | 31 | |
| 20 | 1 |
About David L. Sheinberg
David L. Sheinberg is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 3.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (34 papers), Neural dynamics and brain function (29 papers) and Face Recognition and Perception (15 papers). The work is most often cited by research in Cognitive Neuroscience (2.9k citations), Experimental and Cognitive Psychology (478 citations) and Sensory Systems (141 citations). David L. Sheinberg has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Nikos K. Logothetis, David A. Leopold, Gregory J. Zelinsky, James W. Tanaka, Tim Curran, Ryan E. B. Mruczek, Lisa S. Scott, Britt Anderson, Andrew Blake and HH Bülthoff. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.
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.