Joseph J. Atick
- Cognitive Neuroscience top 0.5%
- Nuclear and High Energy Physics top 2%
- Computer Vision and Pattern Recognition top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Co-authors
- Amanda RedlichP.S. PenevDawei DongAshoke SenEdward WittenLi ZhaopingYang DanLance J. Dixon
- Topics
- Visual perception and processing mechanisms (19 papers)Neural dynamics and brain function (14 papers)Black Holes and Theoretical Physics (14 papers)
- Cited by
- Cognitive NeuroscienceNuclear and High Energy PhysicsComputer Vision and Pattern Recognition
- Partner nations
- United StatesBulgaria
In The Last Decade
Joseph J. Atick
44 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cognitive Neuroscience 2.5k
- Nuclear and High Energy Physics 1.3k
- Computer Vision and Pattern Recognition 1.2k
- Cellular and Molecular Neuroscience 720
- Molecular Biology 548
Countries citing papers authored by Joseph J. Atick
This map shows the geographic impact of Joseph J. Atick'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 Joseph J. Atick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph J. Atick more than expected).
Fields of papers citing papers by Joseph J. Atick
This network shows the impact of papers produced by Joseph J. Atick. 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 Joseph J. Atick. The network helps show where Joseph J. Atick may publish in the future.
Co-authorship network of co-authors of Joseph J. Atick
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph J. Atick. A scholar is included among the top collaborators of Joseph J. Atick 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 Joseph J. Atick. Joseph J. Atick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 206 | |
| 2 | The technology review ten | 5 |
| 3 | 4 | |
| 4 | 392 | |
| 5 | 231 | |
| 6 | 7 | |
| 7 | 359 | |
| 8 | 71 | |
| 9 | 68 | |
| 10 | 361 | |
| 11 | What Does the Retina Know about Natural Scenes?breakdown → | 513 |
| 12 | Color coding and its interaction with spatiotemporal processing in the retina | 11 |
| 13 | 14 | |
| 14 | 2 | |
| 15 | Remarks on Thermodynamics of Strings | 2 |
| 16 | 43 | |
| 17 | 35 | |
| 18 | 328 | |
| 19 | 41 | |
| 20 | 25 |
About Joseph J. Atick
Joseph J. Atick is a scholar working on Cognitive Neuroscience, Nuclear and High Energy Physics and Statistical and Nonlinear Physics, having authored 44 papers that have together received 5.2k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (19 papers), Neural dynamics and brain function (14 papers) and Black Holes and Theoretical Physics (14 papers). The work is most often cited by research in Cognitive Neuroscience (2.5k citations), Nuclear and High Energy Physics (1.3k citations) and Computer Vision and Pattern Recognition (1.2k citations). Joseph J. Atick has collaborated with scholars based in United States and Bulgaria. Frequent co-authors include Amanda Redlich, P.S. Penev, Dawei Dong, Ashoke Sen, Edward Witten, Li Zhaoping, Yang Dan, Lance J. Dixon, R. Clay Reid and Avinash Dhar. Their work appears in journals such as Journal of Neuroscience, Nuclear Physics B and Physics Letters B.
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.