Julian Togelius
- Artificial Intelligence top 0.1%
- Sociology and Political Science top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Developmental and Educational Psychology top 0.5%
- Control and Systems Engineering top 2%
- Co-authors
- Georgios N. YannakakisSimon M. LucasNoor ShakerAntonios LiapisJürgen SchmidhuberKenneth O. StanleyMark NelsonCameron Browne
- Topics
- Artificial Intelligence in Games (200 papers)Digital Games and Media (110 papers)Reinforcement Learning in Robotics (55 papers)
- Cited by
- Artificial IntelligenceDevelopmental and Educational PsychologyComputer Vision and Pattern Recognition
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Julian Togelius
272 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 5.7k
- Sociology and Political Science 3.0k
- Computer Vision and Pattern Recognition 2.1k
- Developmental and Educational Psychology 1.5k
- Control and Systems Engineering 650
Countries citing papers authored by Julian Togelius
This map shows the geographic impact of Julian Togelius'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 Julian Togelius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Togelius more than expected).
Fields of papers citing papers by Julian Togelius
This network shows the impact of papers produced by Julian Togelius. 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 Julian Togelius. The network helps show where Julian Togelius may publish in the future.
Co-authorship network of co-authors of Julian Togelius
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Togelius. A scholar is included among the top collaborators of Julian Togelius based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julian Togelius. Julian Togelius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | "Superstition" in the Network:Deep Reinforcement Learning Plays Deceptive Games | 2 |
| 10 | Blood Bowl: The Next Board Game Challenge for AI | 1 |
| 11 | 87 | |
| 12 | Depth in strategic games | 12 |
| 13 | Procedural Generation of 3D Caves for Games on the GPU | 9 |
| 14 | Open Trumps, a Data Game | 7 |
| 15 | Detecting Predatory Behaviour in Online Game Chats | 1 |
| 16 | Bar Chart Ball, a Data Game | 7 |
| 17 | 43 | |
| 18 | 7 | |
| 19 | 40 | |
| 20 | 6 |
About Julian Togelius
Julian Togelius is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 282 papers that have together received 7.0k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (200 papers), Digital Games and Media (110 papers) and Reinforcement Learning in Robotics (55 papers). The work is most often cited by research in Artificial Intelligence (5.7k citations), Developmental and Educational Psychology (1.5k citations) and Computer Vision and Pattern Recognition (2.1k citations). Julian Togelius has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Georgios N. Yannakakis, Simon M. Lucas, Noor Shaker, Antonios Liapis, Jürgen Schmidhuber, Kenneth O. Stanley, Mark Nelson, Cameron Browne, Renzo De Nardi and Ahmed Khalifa. Their work appears in journals such as Proceedings of the IEEE, Scientific Reports and IEEE Access.
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.