Sebastian Risi

3.7k citations
132 papers · 2.0k · h-index 23

Impact in

Papers in

Sebastian Risi

121 papers receiving 1.9k citations

Peers

Sebastian Risi
Comparison fields: 5 of 112
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 440
  • Health Informatics 21
  • Human-Computer Interaction 77
  • Computer Graphics and Computer-Aided Design 45
Replace Antonios Liapis with:
Antonios Liapis Malta
Joel Lehman United States
Brenden M. Lake United States
Penousal Machado Portugal
Andreas Kerren Sweden
Antonio Chella Italy
David Vernon Ireland
Jon McCormack Australia
Spyridon Samothrakis United Kingdom
Juan Romero Spain
Sebastian Risi relative to Antonios Liapis Malta Antonios Liapis's profile →
Citations per field
00.5×1.5×
Antonios Liapis · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sebastian Risi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sebastian Risi Line = papers co-authored together Sebastian Risi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018160
2 2018149
3 2015106
4 202086
5 201866
6 200958
7 201054
8 201052
9 201549
10 201246
11 201245
12 201443
13 201042
14 201641
15 201235
16 202129
17 201528
18 201628
19 201725
20 201724

About Sebastian Risi

Sebastian Risi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering, Sociology and Political Science and Cognitive Neuroscience, having authored 132 papers that have together received 2.0k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (43 papers), Reinforcement Learning in Robotics (43 papers), Artificial Intelligence in Games (36 papers), Modular Robots and Swarm Intelligence (19 papers), Digital Games and Media (16 papers), Music Technology and Sound Studies (15 papers), Neural Networks and Applications (13 papers) and Video Analysis and Summarization (10 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (440 citations), Health Informatics (21 citations), Human-Computer Interaction (77 citations) and Computer Graphics and Computer-Aided Design (45 citations). Sebastian Risi has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Kenneth O. Stanley, Julian Togelius, Joel Lehman, Jialin Liu, Jichen Zhu, Antonios Liapis, Charles E. Hughes, Rafael Bidarra, G. Michael Youngblood and David B. D’Ambrosio. Their work appears in journals such as Artificial Life, IEEE Transactions on Computational Intelligence and AI in Games, Adaptive Behavior, Genetic Programming and Evolvable Machines and Lecture notes in computer science.

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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