Johan Hagelbäck
About
Johan Hagelbäck is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science.
According to data from OpenAlex, Johan Hagelbäck has authored 17 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Sociology and Political Science. Recurrent topics in Johan Hagelbäck’s work include Robotic Path Planning Algorithms (7 papers), Artificial Intelligence in Games (7 papers) and Reinforcement Learning in Robotics (6 papers). Johan Hagelbäck is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), Artificial Intelligence in Games (7 papers) and Reinforcement Learning in Robotics (6 papers). Johan Hagelbäck collaborates with scholars based in Sweden, Denmark and Germany. Johan Hagelbäck's co-authors include Stefan J. Johansson, Georgios N. Yannakakis, Nicola Beume, Julian Togelius, Mike Preuß, Simon Wessing, Petar Jerčić, Veronica Sundstedt, Wei Wen and Koraljka Golub and has published in prestigious journals such as International Journal of Social Robotics, Genetic Programming and Evolvable Machines and IEEE Transactions on Computational Intelligence and AI in Games.
In The Last Decade
Co-authorship network of co-authors of Johan Hagelbäck i
Fields of papers citing papers by Johan Hagelbäck
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 Johan Hagelbäck. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Johan Hagelbäck may publish in the future.
Countries citing papers authored by Johan Hagelbäck
Since SpecializationCitations
This map shows the geographic impact of Johan Hagelbäck'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 Johan Hagelbäck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Hagelbäck more than expected).
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