Benjamin Eysenbach
About
Benjamin Eysenbach is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience.
According to data from OpenAlex, Benjamin Eysenbach has authored 11 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Benjamin Eysenbach’s work include Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (3 papers). Benjamin Eysenbach is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (3 papers). Benjamin Eysenbach collaborates with scholars based in United States and Canada. Benjamin Eysenbach's co-authors include Sergey Levine, Kenney Ng, Walter F. Stewart, Bum Chul Kwon, Adam Perer, Ruslan Salakhutdinov, Chelsea Finn, Abhishek Gupta, Jacob Varley and Karol Hausman and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, arXiv (Cornell University) and Neural Information Processing Systems.
In The Last Decade
Co-authorship network of co-authors of Benjamin Eysenbach i
Fields of papers citing papers by Benjamin Eysenbach
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 Benjamin Eysenbach. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Benjamin Eysenbach may publish in the future.
Countries citing papers authored by Benjamin Eysenbach
Since SpecializationCitations
This map shows the geographic impact of Benjamin Eysenbach'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 Benjamin Eysenbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Eysenbach more than expected).
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