Carlos D. Brody
- Cognitive Neuroscience top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Sensory Systems top 1%
- Co-authors
- Ranulfo RomoAdrián HernándezLuis LemusJ. J. HopfieldBingni W. BruntonChristian K. MachensCharles D. KopecMatthew Botvinick
- Topics
- Neural dynamics and brain function (59 papers)Memory and Neural Mechanisms (20 papers)Neural and Behavioral Psychology Studies (19 papers)
- Partner nations
- United StatesMexicoUnited Kingdom
In The Last Decade
Carlos D. Brody
71 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 5.5k
- Cellular and Molecular Neuroscience 2.0k
- Artificial Intelligence 584
- Electrical and Electronic Engineering 527
- Sensory Systems 430
Countries citing papers authored by Carlos D. Brody
This map shows the geographic impact of Carlos D. Brody'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 Carlos D. Brody with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos D. Brody more than expected).
Fields of papers citing papers by Carlos D. Brody
This network shows the impact of papers produced by Carlos D. Brody. 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 Carlos D. Brody. The network helps show where Carlos D. Brody may publish in the future.
Co-authorship network of co-authors of Carlos D. Brody
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos D. Brody. A scholar is included among the top collaborators of Carlos D. Brody 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 Carlos D. Brody. Carlos D. Brody is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 18 | |
| 6 | 20 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | Geometry of abstract learned knowledge in the hippocampusbreakdown → | 158 |
| 10 | 11 | |
| 11 | 20 | |
| 12 | 39 | |
| 13 | Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations | 6 |
| 14 | 45 | |
| 15 | 31 | |
| 16 | 92 | |
| 17 | 128 | |
| 18 | Can simple interactions capture complex features of neural activity underlying behavior in a virtual reality environment | 2 |
| 19 | 377 | |
| 20 | A Model of Feedback to the Lateral Geniculate Nucleus | 1 |
About Carlos D. Brody
Carlos D. Brody is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (59 papers), Memory and Neural Mechanisms (20 papers) and Neural and Behavioral Psychology Studies (19 papers). The work is most often cited by research in Cognitive Neuroscience (5.5k citations), Cellular and Molecular Neuroscience (2.0k citations) and Sensory Systems (430 citations). Carlos D. Brody has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Ranulfo Romo, Adrián Hernández, Luis Lemus, J. J. Hopfield, Bingni W. Brunton, Christian K. Machens, Charles D. Kopec, Matthew Botvinick, Timothy D. Hanks and David W. Tank. Their work appears in journals such as Nature, Science 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.