Adam Santoro
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms 6
- Neural dynamics and brain function 5
- Artificial Intelligence top 2%
- Neural Networks and Applications 5
- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and Data Classification 2
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- Multimodal Machine Learning Applications 3
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- Neuroscience and Neuropharmacology Research 2
- Developmental Neuroscience top 10%
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- Advanced Memory and Neural Computing 3
- Co-authors
- Timothy LillicrapSergey BartunovMatthew BotvinickDaan WierstraLuke MarrisGeoffrey E. HintonColin J. AkermanPaul W. Frankland
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Neuron (1 paper)Journal of Neuroscience (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Adam Santoro
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cognitive Neuroscience 567
- Artificial Intelligence 815
- Computer Vision and Pattern Recognition 427
- Cellular and Molecular Neuroscience 375
- Developmental Neuroscience 71
Countries citing papers authored by Adam Santoro
This map shows the geographic impact of Adam Santoro'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 Adam Santoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Santoro more than expected).
Fields of papers citing papers by Adam Santoro
This network shows the impact of papers produced by Adam Santoro. 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 Adam Santoro. The network helps show where Adam Santoro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam Santoro, 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 | 2022 | 11 | |
| 2 | Backpropagation and the brainbreakdown → | 2020 | 432 |
| 3 | Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. | 2020 | 9 |
| 4 | Environmental drivers of systematicity and generalization in a situated agent. | 2020 | 9 |
| 5 | Automated curriculum generation through setter-solver interactions | 2020 | 7 |
| 6 | Learning to Make Analogies by Contrasting Abstract Relational Structure | 2019 | 13 |
| 7 | Emergent Systematic Generalization In a Situated Agent | 2019 | 8 |
| 8 | 2019 | 59 | |
| 9 | 2018 | 64 | |
| 10 | Deep reinforcement learning with relational inductive biases | 2018 | 47 |
| 11 | 2018 | 37 | |
| 12 | 2018 | 55 | |
| 13 | 2017 | 13 | |
| 14 | 2016 | 12 | |
| 15 | Meta-learning with memory-augmented neural networksbreakdown → | 2016 | 657 |
| 16 | 2015 | 158 | |
| 17 | 2014 | 99 | |
| 18 | 2014 | 5 | |
| 19 | 2013 | 73 |
About Adam Santoro
Adam Santoro is a scholar working on Developmental Neuroscience, Cognitive Neuroscience and Artificial Intelligence, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (6 papers), Neural dynamics and brain function (5 papers), Neural Networks and Applications (5 papers), Advanced Memory and Neural Computing (3 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Data Classification (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (567 citations), Artificial Intelligence (815 citations) and Computer Vision and Pattern Recognition (427 citations). Adam Santoro has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Timothy Lillicrap, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, Luke Marris, Geoffrey E. Hinton, Colin J. Akerman, Paul W. Frankland, Sheena A. Josselyn and Blake A. Richards. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.