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

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Fields of papers citing papers by Johan Hagelbäck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan Hagelbäck. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Johan Hagelbäck. The network helps show where Johan Hagelbäck may publish in the future.

Countries citing papers authored by Johan Hagelbäck

Since Specialization

Citations

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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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