Sebastian Risi

3.7k total citations
110 papers, 1.5k citations indexed

About

Sebastian Risi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Sebastian Risi has authored 110 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 16 papers in Sociology and Political Science. Recurrent topics in Sebastian Risi's work include Reinforcement Learning in Robotics (37 papers), Evolutionary Algorithms and Applications (37 papers) and Artificial Intelligence in Games (33 papers). Sebastian Risi is often cited by papers focused on Reinforcement Learning in Robotics (37 papers), Evolutionary Algorithms and Applications (37 papers) and Artificial Intelligence in Games (33 papers). Sebastian Risi collaborates with scholars based in Denmark, United States and United Kingdom. Sebastian Risi's co-authors include Kenneth O. Stanley, Julian Togelius, Joel Lehman, Jialin Liu, Jichen Zhu, Charles E. Hughes, Jacob Schrum, Vanessa Volz, Antonios Liapis and G. Michael Youngblood and has published in prestigious journals such as Neural Networks, Neural Computing and Applications and IEEE Intelligent Systems.

In The Last Decade

Sebastian Risi

104 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sebastian Risi 1.0k 323 296 168 130 110 1.5k
Joel Lehman 1.6k 1.6× 238 0.7× 246 0.8× 234 1.4× 130 1.0× 50 2.2k
Spyridon Samothrakis 1.6k 1.5× 426 1.3× 487 1.6× 36 0.2× 139 1.1× 40 2.4k
Stewart W. Wilson 3.0k 2.9× 183 0.6× 166 0.6× 175 1.0× 196 1.5× 132 3.8k
Daniel Polani 584 0.6× 81 0.3× 156 0.5× 74 0.4× 486 3.7× 116 1.4k
Ian Parberry 446 0.4× 255 0.8× 158 0.5× 25 0.1× 127 1.0× 82 1.3k
Denis Gračanin 247 0.2× 524 1.6× 101 0.3× 69 0.4× 153 1.2× 175 1.4k
Joel Z. Leibo 1.3k 1.2× 364 1.1× 157 0.5× 47 0.3× 654 5.0× 59 2.5k
Antonios Liapis 1.1k 1.1× 468 1.4× 613 2.1× 86 0.5× 85 0.7× 119 1.6k
Erol Şahi̇n 611 0.6× 476 1.5× 94 0.3× 660 3.9× 166 1.3× 70 2.0k
Gerhard Sagerer 1.2k 1.2× 1.1k 3.3× 120 0.4× 70 0.4× 389 3.0× 195 2.9k

Countries citing papers authored by Sebastian Risi

Since Specialization
Citations

This map shows the geographic impact of Sebastian Risi'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 Sebastian Risi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Risi more than expected).

Fields of papers citing papers by Sebastian Risi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebastian Risi. 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 Sebastian Risi. The network helps show where Sebastian Risi may publish in the future.

Co-authorship network of co-authors of Sebastian Risi

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Risi. A scholar is included among the top collaborators of Sebastian Risi 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 Sebastian Risi. Sebastian Risi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Freiberger, Matthias, et al.. (2024). Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration. IT University Of Copenhagen (IT University of Copenhagen). 1–18. 5 indexed citations
2.
Freiberger, Matthias, et al.. (2024). GenFrame – Embedding Generative AI Into Interactive Artifacts. Designing Interactive Systems Conference. 714–727. 6 indexed citations
3.
4.
Freiberger, Matthias, et al.. (2023). Prompt-Guided Level Generation. 179–182. 9 indexed citations
5.
Gajdacz, Miroslav, Janet Rafner, Carsten Bergenholtz, et al.. (2021). CREA.blender:a GAN based casual creator for creativity assessment. 1 indexed citations
6.
Palm, Rasmus, et al.. (2020). Finding Game Levels with the Right Difficulty in a Few Trials through\n Intelligent Trial-and-Error. arXiv (Cornell University). 15 indexed citations
7.
Mouret, Jean-Baptiste, et al.. (2020). Learning a Behavioral Repertoire from Demonstrations. arXiv (Cornell University). 383–390. 1 indexed citations
8.
Togelius, Julian, et al.. (2019). Blood Bowl: A New Board Game Challenge and Competition for AI. IT University Of Copenhagen (IT University of Copenhagen). 1–8. 14 indexed citations
9.
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
10.
Bontrager, Philip, et al.. (2018). Procedural Level Generation Improves Generality of Deep Reinforcement Learning. arXiv (Cornell University). 7 indexed citations
11.
Soltoggio, Andrea, Kenneth O. Stanley, & Sebastian Risi. (2018). Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks. Neural Networks. 108. 48–67. 56 indexed citations
12.
Nichele, Stefano, et al.. (2017). Towards a plant bio-machine. IT University Of Copenhagen (IT University of Copenhagen). 1–8. 1 indexed citations
13.
Risi, Sebastian, et al.. (2017). DLNE: A hybridization of deep learning and neuroevolution for visual control. IT University Of Copenhagen (IT University of Copenhagen). 256–263. 11 indexed citations
14.
Støy, Kasper, et al.. (2016). Generating Artificial Plant Morphologies for Function and Aesthetics through Evolving L-Systems. 692–699. 7 indexed citations
15.
Lehman, Joel, Sebastian Risi, & Jeff Clune. (2016). Creative Generation of 3D Objects with Deep Learning and Innovation Engines.. IT University Of Copenhagen (IT University of Copenhagen). 180–187. 19 indexed citations
16.
Togelius, Julian, et al.. (2015). Monte-Carlo Tree Search for Simulated Car Racing.. IT University Of Copenhagen (IT University of Copenhagen). 4 indexed citations
17.
Risi, Sebastian, et al.. (2015). Soft-Body Muscles for Evolved Virtual Creatures: The Next Step on a Bio-Mimetic Path to Meaningful Morphological Complexity. IT University Of Copenhagen (IT University of Copenhagen). 604–611. 1 indexed citations
18.
Risi, Sebastian. (2013). A Compiler for CPPNs: Transforming Phenotypic Descriptions Into Genotypic Representations.. IT University Of Copenhagen (IT University of Copenhagen). 3 indexed citations
19.
Risi, Sebastian, Joel Lehman, David B. D’Ambrosio, Ryan Hall, & Kenneth O. Stanley. (2012). Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(1). 63–68. 34 indexed citations
20.
D’Ambrosio, David B., Joel Lehman, Sebastian Risi, & Kenneth O. Stanley. (2010). Evolving policy geometry for scalable multiagent learning. Adaptive Agents and Multi-Agents Systems. 731–738. 33 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.

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