Anssi Kanervisto
About
Anssi Kanervisto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing.
According to data from OpenAlex, Anssi Kanervisto has authored 14 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Anssi Kanervisto’s work include Reinforcement Learning in Robotics (6 papers), Speech and Audio Processing (4 papers) and Speech Recognition and Synthesis (4 papers). Anssi Kanervisto is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Speech and Audio Processing (4 papers) and Speech Recognition and Synthesis (4 papers). Anssi Kanervisto collaborates with scholars based in Finland, Japan and United States. Anssi Kanervisto's co-authors include Maximilian Ernestus, Antonin Raffin, Adam Gleave, Ashley Hill, Ville Hautamäki, Christian Scheller, Yuntian Deng, Alexander M. Rush, Jun Miura and Jeffrey Ling and has published in prestigious journals such as Journal of Machine Learning Research, IEEE/ACM Transactions on Audio Speech and Language Processing and IEEE Transactions on Games.
In The Last Decade
Co-authorship network of co-authors of Anssi Kanervisto i
Fields of papers citing papers by Anssi Kanervisto
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 Anssi Kanervisto. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Anssi Kanervisto may publish in the future.
Countries citing papers authored by Anssi Kanervisto
Since SpecializationCitations
This map shows the geographic impact of Anssi Kanervisto'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 Anssi Kanervisto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anssi Kanervisto more than expected).
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