Devin Schwab
About
Devin Schwab is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research.
According to data from OpenAlex, Devin Schwab has authored 4 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Devin Schwab’s work include Reinforcement Learning in Robotics (4 papers), Adaptation to Concept Drift in Data Streams (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Devin Schwab is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Adaptation to Concept Drift in Data Streams (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Devin Schwab collaborates with scholars based in United States. Devin Schwab's co-authors include Manuela Veloso and Soumya Ray and has published in prestigious journals such as Machine Learning.
In The Last Decade
Fields of papers citing papers by Devin Schwab
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 Devin Schwab. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Devin Schwab may publish in the future.
Countries citing papers authored by Devin Schwab
Since SpecializationCitations
This map shows the geographic impact of Devin Schwab'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 Devin Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devin Schwab more than expected).
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