Andrew Saxe

38 papers and 1.4k indexed citations i.

About

Andrew Saxe is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andrew Saxe has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Cognitive Neuroscience and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andrew Saxe’s work include Neural dynamics and brain function (15 papers), Neural Networks and Applications (14 papers) and Stochastic Gradient Optimization Techniques (8 papers). Andrew Saxe is often cited by papers focused on Neural dynamics and brain function (15 papers), Neural Networks and Applications (14 papers) and Stochastic Gradient Optimization Techniques (8 papers). Andrew Saxe collaborates with scholars based in United States, United Kingdom and Canada. Andrew Saxe's co-authors include Christopher Summerfield, Surya Ganguli, James L. McClelland, Madhu Advani, Stephanie Nelli, Andrew Y. Ng, Ian Goodfellow, David Cox, Honglak Lee and Quoc V. Le and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Co-authorship network of co-authors of Andrew Saxe i

Fields of papers citing papers by Andrew Saxe

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 Andrew Saxe. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Andrew Saxe may publish in the future.

Countries citing papers authored by Andrew Saxe

Since Specialization
Citations

This map shows the geographic impact of Andrew Saxe'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 Andrew Saxe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Saxe more than expected).

Rankless by CCL
2025