Carlos Guestrin
About
Carlos Guestrin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications.
According to data from OpenAlex, Carlos Guestrin has authored 104 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 21 papers in Computer Networks and Communications. Recurrent topics in Carlos Guestrin’s work include Bayesian Modeling and Causal Inference (22 papers), Machine Learning and Algorithms (21 papers) and Energy Efficient Wireless Sensor Networks (16 papers). Carlos Guestrin is often cited by papers focused on Bayesian Modeling and Causal Inference (22 papers), Machine Learning and Algorithms (21 papers) and Energy Efficient Wireless Sensor Networks (16 papers). Carlos Guestrin collaborates with scholars based in United States, United Kingdom and France. Carlos Guestrin's co-authors include Sameer Singh, Andreas Krause, Marco Túlio Ribeiro, Yucheng Low, Joseph E. Gonzalez, Daphne Koller, Jure Leskovec, Aapo Kyrola, Christos Faloutsos and Jeanne M. VanBriesen and has published in prestigious journals such as Nature, Circulation and Bioinformatics.
In The Last Decade
Co-authorship network of co-authors of Carlos Guestrin i
Fields of papers citing papers by Carlos Guestrin
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 Carlos Guestrin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Carlos Guestrin may publish in the future.
Countries citing papers authored by Carlos Guestrin
Since SpecializationCitations
This map shows the geographic impact of Carlos Guestrin'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 Carlos Guestrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Guestrin more than expected).
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