Noah Siegel

About

Noah Siegel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, Noah Siegel has authored 4 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computational Theory and Mathematics and 0 papers in Cell Biology. Recurrent topics in Noah Siegel’s work include Adversarial Robustness in Machine Learning (3 papers), Reinforcement Learning in Robotics (3 papers) and Machine Learning and Data Classification (1 paper). Noah Siegel is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Reinforcement Learning in Robotics (3 papers) and Machine Learning and Data Classification (1 paper). Noah Siegel collaborates with scholars based in United States, United Kingdom and Germany. Noah Siegel's co-authors include Abbas Abdolmaleki, Jost Tobias Springenberg, Nicolas Heess, Martin Riedmiller and Michael Neunert and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Noah Siegel

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

Countries citing papers authored by Noah Siegel

Since Specialization

Citations

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

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