David G. T. Barrett

14 papers and 278 indexed citations i.

About

David G. T. Barrett is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, David G. T. Barrett has authored 14 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Cognitive Neuroscience and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in David G. T. Barrett’s work include Neural Networks and Applications (4 papers), Neural dynamics and brain function (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). David G. T. Barrett is often cited by papers focused on Neural Networks and Applications (4 papers), Neural dynamics and brain function (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). David G. T. Barrett collaborates with scholars based in United States, United Kingdom and Portugal. David G. T. Barrett's co-authors include Ari S. Morcos, Sophie Denève, Christian K. Machens, Adam Santoro, Jakob H. Macke, Timothy Lillicrap, Felix Hill, Samuel Ritter, Matt Botvinick and Neil C. Rabinowitz and has published in prestigious journals such as Current Opinion in Neurobiology, eLife and Network Computation in Neural Systems.

In The Last Decade

Co-authorship network of co-authors of David G. T. Barrett i

Fields of papers citing papers by David G. T. Barrett

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by David G. T. Barrett. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where David G. T. Barrett may publish in the future.

Countries citing papers authored by David G. T. Barrett

Since Specialization
Citations

This map shows the geographic impact of David G. T. Barrett'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 G. T. Barrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. T. Barrett more than expected).

Rankless by CCL
2025