Shaul Hochstein
- Cognitive Neuroscience top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Experimental and Cognitive Psychology top 1%
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Merav AhissarRobert ShapleyP. HillmanBaruch MinkeHedva SpitzerEhud ZoharyIsrael NelkenMor Nahum
- Topics
- Visual perception and processing mechanisms (70 papers)Neural dynamics and brain function (37 papers)Face Recognition and Perception (19 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyCellular and Molecular Neuroscience
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Shaul Hochstein
113 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Cognitive Neuroscience 5.2k
- Cellular and Molecular Neuroscience 1.3k
- Experimental and Cognitive Psychology 976
- Molecular Biology 820
- Computer Vision and Pattern Recognition 690
Countries citing papers authored by Shaul Hochstein
This map shows the geographic impact of Shaul Hochstein'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 Shaul Hochstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaul Hochstein more than expected).
Fields of papers citing papers by Shaul Hochstein
This network shows the impact of papers produced by Shaul Hochstein. 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 Shaul Hochstein. The network helps show where Shaul Hochstein may publish in the future.
Co-authorship network of co-authors of Shaul Hochstein
This figure shows the co-authorship network connecting the top 25 collaborators of Shaul Hochstein. A scholar is included among the top collaborators of Shaul Hochstein 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 Shaul Hochstein. Shaul Hochstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 43 | |
| 5 | 16 | |
| 6 | 20 | |
| 7 | 13 | |
| 8 | 16 | |
| 9 | The reverse hierarchy theory of visual perceptual learningbreakdown → | 712 |
| 10 | 1 | |
| 11 | View from the Topbreakdown → | 1023 |
| 12 | 77 | |
| 13 | Does over-training lead to automaticity | 1 |
| 14 | 170 | |
| 15 | 39 | |
| 16 | How early is early vision?: evidence from perceptual learning | 10 |
| 17 | 5 | |
| 18 | Stimulus Encoding by Multidimensional Receptive Fields in Single Cells and Cell Populations in V1 of Awake Monkey | 3 |
| 19 | 15 | |
| 20 | 29 |
About Shaul Hochstein
Shaul Hochstein is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology, having authored 116 papers that have together received 6.5k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (70 papers), Neural dynamics and brain function (37 papers) and Face Recognition and Perception (19 papers). The work is most often cited by research in Cognitive Neuroscience (5.2k citations), Experimental and Cognitive Psychology (976 citations) and Cellular and Molecular Neuroscience (1.3k citations). Shaul Hochstein has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Merav Ahissar, Robert Shapley, P. Hillman, Baruch Minke, Hedva Spitzer, Ehud Zohary, Israel Nelken, Mor Nahum, Marina Pavlovskaya and Einat Shneor. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.