Joel Dapello
About
Joel Dapello is a scholar working on Artificial Intelligence, Biophysics and Cognitive Neuroscience.
According to data from OpenAlex, Joel Dapello has authored 2 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Biophysics and 1 paper in Cognitive Neuroscience. Recurrent topics in Joel Dapello’s work include Stochastic Gradient Optimization Techniques (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Neural dynamics and brain function (1 paper). Joel Dapello is often cited by papers focused on Stochastic Gradient Optimization Techniques (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Neural dynamics and brain function (1 paper). Joel Dapello collaborates with scholars based in United States, United Kingdom and Germany. Joel Dapello's co-authors include David Cox, Artemy Kolchinsky, Tiago Marques, Yamini Bansal and Madhu Advani and has published in prestigious journals such as Journal of Statistical Mechanics Theory and Experiment.
In The Last Decade
Fields of papers citing papers by Joel Dapello
Since SpecializationEngineeringComputer 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 Joel Dapello. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Joel Dapello may publish in the future.
Countries citing papers authored by Joel Dapello
Since SpecializationCitations
This map shows the geographic impact of Joel Dapello'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 Joel Dapello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Dapello more than expected).
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