Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Search-Based Procedural Content Generation: A Taxonomy and Survey
2011432 citationsJulian Togelius, Georgios N. Yannakakis et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Julian Togelius
Since
Specialization
Citations
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).
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.
Stephenson, Matthew, et al.. (2019). "Superstition" in the Network:Deep Reinforcement Learning Plays Deceptive Games. Research Publications (Maastricht University).2 indexed citations
Risi, Sebastian, et al.. (2018). Blood Bowl: The Next Board Game Challenge for AI. IT University Of Copenhagen (IT University of Copenhagen).1 indexed citations
7.
Isaksen, Aaron, et al.. (2017). Depth in strategic games. National Conference on Artificial Intelligence. 967–974.12 indexed citations
8.
Khalifa, Ahmed & Julian Togelius. (2017). Marahel: A Language for Constructive Level Generation. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(2). 84–91.1 indexed citations
9.
Isaksen, Aaron, et al.. (2016). Playing Games Across the Superintelligence Divide. National Conference on Artificial Intelligence. 89–97.1 indexed citations
10.
Wang, Che, et al.. (2016). Portfolio Online Evolution in StarCraft. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12(1). 114–120.19 indexed citations
11.
Bontrager, Philip, Ahmed Khalifa, André Sales Mendes, & Julian Togelius. (2016). Matching Games and Algorithms for General Video Game Playing. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12(1). 122–128.29 indexed citations
12.
Dahlskog, Steve, Staffan Björk, & Julian Togelius. (2015). Patterns, Dungeons and Generators. Malmö University Publications (Malmö University).11 indexed citations
13.
Holmgård, Christoffer, Antonios Liapis, Julian Togelius, & Georgios N. Yannakakis. (2015). Monte-Carlo Tree Search for Persona Based Player Modeling. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11(5). 8–14.10 indexed citations
14.
Holmgård, Christoffer, Antonios Liapis, Julian Togelius, & Georgios N. Yannakakis. (2015). MiniDungeons 2: An Experimental Game for Capturing and Modeling Player Decisions.. OAR@UM (University of Malta).3 indexed citations
15.
Nelson, Mark, et al.. (2013). AUDIOVERDRIVE: EXPLORING BIDIRECTIONAL COMMUNICATION BETWEEN MUSIC AND GAMEPLAY. IT University Of Copenhagen (IT University of Copenhagen). 2013. 124–131.5 indexed citations
Liapis, Antonios, Georgios N. Yannakakis, & Julian Togelius. (2013). Towards a Generic Method of Evaluating Game Levels. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(1). 30–36.40 indexed citations
19.
Liapis, Antonios, Georgios N. Yannakakis, & Julian Togelius. (2013). Designer Modeling for Personalized Game Content Creation Tools. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(2). 11–16.19 indexed citations
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.