Daniel Guo
About
Daniel Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics.
According to data from OpenAlex, Daniel Guo has authored 3 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Mechanics. Recurrent topics in Daniel Guo’s work include Topic Modeling (1 paper), Inverse Problems in Mathematical Physics and Imaging (1 paper) and Reinforcement Learning in Robotics (1 paper). Daniel Guo is often cited by papers focused on Topic Modeling (1 paper), Inverse Problems in Mathematical Physics and Imaging (1 paper) and Reinforcement Learning in Robotics (1 paper). Daniel Guo collaborates with scholars based in United States and Sweden. Daniel Guo's co-authors include Geoffrey Zweig, Wen-tau Yih, Gökhan Tür, Ashkan Panahi, Christos Thrampoulidis, Babak Hassibi, Martín Arjovsky, Charles Blundell, Adrià Puigdomènech Badia and Alexander Pritzel and has published in prestigious journals such as CaltechAUTHORS (California Institute of Technology), International Conference on Learning Representations and 2022 IEEE Spoken Language Technology Workshop (SLT).
In The Last Decade
Co-authorship network of co-authors of Daniel Guo i
Fields of papers citing papers by Daniel Guo
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 Daniel Guo. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Guo may publish in the future.
Countries citing papers authored by Daniel Guo
Since SpecializationCitations
This map shows the geographic impact of Daniel Guo'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 Daniel Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Guo more than expected).
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