Tor Lattimore
About
Tor Lattimore is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications.
According to data from OpenAlex, Tor Lattimore has authored 34 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Science and Operations Research, 26 papers in Artificial Intelligence and 13 papers in Computer Networks and Communications. Recurrent topics in Tor Lattimore’s work include Advanced Bandit Algorithms Research (25 papers), Reinforcement Learning in Robotics (11 papers) and Machine Learning and Algorithms (9 papers). Tor Lattimore is often cited by papers focused on Advanced Bandit Algorithms Research (25 papers), Reinforcement Learning in Robotics (11 papers) and Machine Learning and Algorithms (9 papers). Tor Lattimore collaborates with scholars based in Canada, United States and United Kingdom. Tor Lattimore's co-authors include Marcus Hütter, Csaba Szepesvári, Rémi Munos, Mark D. Reid, Christoph Dann, Emma Brunskill, András György, Koby Crammer, Ruitong Huang and Malte Helmert and has published in prestigious journals such as Journal of Machine Learning Research, Theoretical Computer Science and edoc (University of Basel).
In The Last Decade
Co-authorship network of co-authors of Tor Lattimore i
Fields of papers citing papers by Tor Lattimore
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 Tor Lattimore. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tor Lattimore may publish in the future.
Countries citing papers authored by Tor Lattimore
Since SpecializationCitations
This map shows the geographic impact of Tor Lattimore'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 Tor Lattimore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tor Lattimore more than expected).
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