Niru Maheswaranathan
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Visual perception and processing mechanisms
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and Data Classification 3
- Stochastic Gradient Optimization Techniques 2
- Metaheuristic Optimization Algorithms Research 2
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- Neural dynamics and brain function 5
- Co-authors
- Surya Ganguli (7 shared papers)Kiah Hardcastle (1 shared paper)Lisa M. Giocomo (1 shared paper)Stephen A. Baccus (5 shared papers)Lane McIntosh (3 shared papers)Aran Nayebi (2 shared papers)Jascha Sohl‐Dickstein (7 shared papers)David B. Kastner (2 shared papers)
- Journals
- Neuron (4 papers)PLoS Computational Biology (1 paper)Review of Scientific Instruments (1 paper)Frontiers in Computational Neuroscience (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Niru Maheswaranathan
17 papers receiving 556 citations
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 372
- Cellular and Molecular Neuroscience 243
- Sensory Systems 47
- Behavioral Neuroscience 18
- Endocrine and Autonomic Systems 31
Countries citing papers authored by Niru Maheswaranathan
This map shows the geographic impact of Niru Maheswaranathan'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 Niru Maheswaranathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niru Maheswaranathan more than expected).
Fields of papers citing papers by Niru Maheswaranathan
This network shows the impact of papers produced by Niru Maheswaranathan. 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 Niru Maheswaranathan. The network helps show where Niru Maheswaranathan may publish in the future.
Co-authors
The 25 scholars most cited alongside Niru Maheswaranathan, 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 | 2017 | 176 | |
| 2 | 2017 | 106 | |
| 3 | Deep Learning Models of the Retinal Response to Natural Scenes. | 2016 | 78 |
| 4 | 2019 | 47 | |
| 5 | 2018 | 42 | |
| 6 | 2017 | 38 | |
| 7 | 2012 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2018 | 12 | |
| 10 | Learning Unsupervised Learning Rules | 2018 | 9 |
| 11 | Guided Evolutionary Strategies: Escaping the curse of dimensionality in random search | 2018 | 7 |
| 12 | 2018 | 6 | |
| 13 | Meta-Learning Update Rules for Unsupervised Representation Learning | 2018 | 4 |
| 14 | Learned optimizers that outperform SGD on wall-clock and validation loss | 2018 | 3 |
| 15 | 2017 | 2 | |
| 16 | 2008 | 1 | |
| 17 | 2021 | 1 |
About Niru Maheswaranathan
Niru Maheswaranathan is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Molecular Biology, having authored 17 papers that have together received 566 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Data Classification (3 papers), Stochastic Gradient Optimization Techniques (2 papers), Neurobiology and Insect Physiology Research (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cognitive Neuroscience (372 citations), Cellular and Molecular Neuroscience (243 citations), Sensory Systems (47 citations), Behavioral Neuroscience (18 citations) and Endocrine and Autonomic Systems (31 citations). Niru Maheswaranathan has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Surya Ganguli, Kiah Hardcastle, Lisa M. Giocomo, Stephen A. Baccus, Lane McIntosh, Aran Nayebi, Jascha Sohl‐Dickstein, David B. Kastner, Kenneth J. Burke and Michael Chiang. Their work appears in journals such as Neuron, PLoS Computational Biology, Review of Scientific Instruments, Frontiers in Computational Neuroscience and International Conference on Learning Representations.
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.