Aran Nayebi
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Biophysics top 10%
Papers in
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- Neural dynamics and brain function 9
- Face Recognition and Perception 4
- Visual perception and processing mechanisms 4
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- Neural Networks and Applications 2
- Quantum Computing Algorithms and Architecture 2
- Co-authors
- Daniel Yamins (8 shared papers)James J. DiCarlo (5 shared papers)Chengxu Zhuang (3 shared papers)Martin Schrimpf (2 shared papers)Siming Yan (2 shared papers)Michael C. Frank (1 shared paper)Surya Ganguli (8 shared papers)Niru Maheswaranathan (2 shared papers)
- Journals
- Cell Reports (1 paper)Quantum Information and Computation (1 paper)PLoS Computational Biology (1 paper)Neuron (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesBelgiumLatvia
In The Last Decade
Aran Nayebi
14 papers receiving 372 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 293
- Biophysics 29
- Cellular and Molecular Neuroscience 64
- Computer Vision and Pattern Recognition 74
- Artificial Intelligence 64
Countries citing papers authored by Aran Nayebi
This map shows the geographic impact of Aran Nayebi'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 Aran Nayebi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aran Nayebi more than expected).
Fields of papers citing papers by Aran Nayebi
This network shows the impact of papers produced by Aran Nayebi. 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 Aran Nayebi. The network helps show where Aran Nayebi may publish in the future.
Co-authors
The 25 scholars most cited alongside Aran Nayebi, 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 | 2021 | 175 | |
| 2 | Deep Learning Models of the Retinal Response to Natural Scenes. | 2016 | 79 |
| 3 | 2019 | 35 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 16 | |
| 6 | Task-driven convolutional recurrent models of the visual system | 2018 | 16 |
| 7 | 2021 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2015 | 6 | |
| 10 | Two Routes to Scalable Credit Assignment without Weight Symmetry | 2020 | 2 |
| 11 | 2018 | 2 | |
| 12 | 2019 | 2 | |
| 13 | Plausible hypercomputability | 2012 | 1 |
| 14 | 2021 | 1 | |
| 15 | PRACTICAL INTRACTABILITY: A CRITIQUE OF THE HYPERCOMPUTATION MOVEMENT | 2016 | 0 |
About Aran Nayebi
Aran Nayebi is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 15 papers that have together received 375 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Face Recognition and Perception (4 papers), Visual perception and processing mechanisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neural Networks and Applications (2 papers), Computability, Logic, AI Algorithms (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (293 citations), Biophysics (29 citations), Cellular and Molecular Neuroscience (64 citations), Computer Vision and Pattern Recognition (74 citations) and Artificial Intelligence (64 citations). Aran Nayebi has collaborated with scholars based in United States, Belgium and Latvia. Frequent co-authors include Daniel Yamins, James J. DiCarlo, Chengxu Zhuang, Martin Schrimpf, Siming Yan, Michael C. Frank, Surya Ganguli, Niru Maheswaranathan, Lane McIntosh and Stephen A. Baccus. Their work appears in journals such as Cell Reports, Quantum Information and Computation, PLoS Computational Biology, Neuron 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.