Johan Hagelbäck
Impact in
- Artificial Intelligence top 5%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
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- Educational Games and Gamification
Papers in
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- Artificial Intelligence in Games 9
- Reinforcement Learning in Robotics 8
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- Robotic Path Planning Algorithms 10
- Human Pose and Action Recognition 2
- Co-authors
- Stefan J. Johansson (8 shared papers)Mike Preuß (3 shared papers)Georgios N. Yannakakis (2 shared papers)Nicola Beume (2 shared papers)Julian Togelius (2 shared papers)Simon Wessing (2 shared papers)Petar Jerčić (2 shared papers)Veronica Sundstedt (1 shared paper)
In The Last Decade
Johan Hagelbäck
23 papers receiving 324 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 282
- Developmental and Educational Psychology 76
- Computer Vision and Pattern Recognition 115
- Sociology and Political Science 117
- Computer Graphics and Computer-Aided Design 8
Countries citing papers authored by Johan Hagelbäck
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).
Fields of papers citing papers by Johan Hagelbäck
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.
Co-authors
The 15 scholars most cited alongside Johan Hagelbäck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 77 | |
| 2 | 2008 | 44 | |
| 3 | 2013 | 36 | |
| 4 | 2008 | 26 | |
| 5 | 2012 | 22 | |
| 6 | 2017 | 19 | |
| 7 | 2009 | 19 | |
| 8 | 2008 | 18 | |
| 9 | 2008 | 17 | |
| 10 | 2015 | 13 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 7 | |
| 13 | 2009 | 6 | |
| 14 | 2010 | 6 | |
| 15 | 2008 | 6 | |
| 16 | Multi-Agent Potential Field based Architectures for Real-Time Strategy Game Bots | 2012 | 5 |
| 17 | 2019 | 4 | |
| 18 | 2013 | 4 | |
| 19 | Automatic classification using DDC on the Swedish Union Catalogue | 2018 | 3 |
| 20 | Variants of Dynamic Time Warping and their Performance in Human Movement Assessment | 2019 | 2 |
About Johan Hagelbäck
Johan Hagelbäck is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Signal Processing and Computer Networks and Communications, having authored 24 papers that have together received 350 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Artificial Intelligence in Games (9 papers), Reinforcement Learning in Robotics (8 papers), Digital Games and Media (4 papers), Human Motion and Animation (3 papers), Optimization and Search Problems (3 papers), Educational Games and Gamification (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Artificial Intelligence (282 citations), Developmental and Educational Psychology (76 citations), Computer Vision and Pattern Recognition (115 citations), Sociology and Political Science (117 citations) and Computer Graphics and Computer-Aided Design (8 citations). Johan Hagelbäck has collaborated with scholars based in Sweden, Germany and Denmark. Frequent co-authors include Stefan J. Johansson, Mike Preuß, Georgios N. Yannakakis, Nicola Beume, Julian Togelius, Simon Wessing, Petar Jerčić, Veronica Sundstedt, Koraljka Golub and Anders Ardö. Their work appears in journals such as Journal of Data and Information Science, Genetic Programming and Evolvable Machines, International Journal of Social Robotics, IEEE Transactions on Computational Intelligence and AI in Games and Entertainment Computing.
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.