David Raposo
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Memory and Neural Mechanisms
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
Papers in
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- Historical Art and Architecture Studies 3
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- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 2
- Co-authors
- Anne K. Churchland (3 shared papers)Matthew T. Kaufman (2 shared papers)John P. Sheppard (2 shared papers)Paul Schrater (1 shared paper)Michael Ryan (1 shared paper)Timothy Lillicrap (2 shared papers)Razvan Pascanu (2 shared papers)Adam Santoro (2 shared papers)
- Journals
- Journal of Neuroscience (2 papers)Nature Neuroscience (1 paper)Espacio Tiempo y Forma Serie VII Historia del Arte (1 paper)arXiv (Cornell University) (1 paper)Dialnet (Universidad de la Rioja) (1 paper)
- Partner nations
- United StatesPortugalNetherlands
In The Last Decade
David Raposo
6 papers receiving 609 citations
Peers
Comparison fields: 5 of 67
- Sensory Systems 123
- Cognitive Neuroscience 472
- Experimental and Cognitive Psychology 114
- Cellular and Molecular Neuroscience 146
- Artificial Intelligence 80
Countries citing papers authored by David Raposo
This map shows the geographic impact of David Raposo'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 David Raposo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Raposo more than expected).
Fields of papers citing papers by David Raposo
This network shows the impact of papers produced by David Raposo. 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 David Raposo. The network helps show where David Raposo may publish in the future.
Co-authors
The 21 scholars most cited alongside David Raposo, 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 | 2014 | 303 | |
| 2 | 2012 | 148 | |
| 3 | 2017 | 104 | |
| 4 | Deep reinforcement learning with relational inductive biases | 2018 | 48 |
| 5 | 2017 | 14 | |
| 6 | 2010 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2017 | 0 |
About David Raposo
David Raposo is a scholar working on Conservation, Cognitive Neuroscience, History, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 618 indexed citations. Recurring topics across this work include Historical Studies on Spain (3 papers), Historical Art and Architecture Studies (3 papers), Medieval and Early Modern Iberia (2 papers), Neural dynamics and brain function (2 papers), EEG and Brain-Computer Interfaces (2 papers), Historical Studies of Medieval Iberia (1 paper), Multisensory perception and integration (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Sensory Systems (123 citations), Cognitive Neuroscience (472 citations), Experimental and Cognitive Psychology (114 citations), Cellular and Molecular Neuroscience (146 citations) and Artificial Intelligence (80 citations). David Raposo has collaborated with scholars based in United States, Portugal and Netherlands. Frequent co-authors include Anne K. Churchland, Matthew T. Kaufman, John P. Sheppard, Paul Schrater, Michael Ryan, Timothy Lillicrap, Razvan Pascanu, Adam Santoro, Peter Battaglia and Victoria Langston. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience, Espacio Tiempo y Forma Serie VII Historia del Arte, arXiv (Cornell University) and Dialnet (Universidad de la Rioja).
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.