Antonios Liapis

3.2k citations
119 papers · 1.6k · h-index 21

Impact in

Papers in

Antonios Liapis

110 papers receiving 1.5k citations

Peers

Antonios Liapis
Comparison fields: 5 of 91
  • Artificial Intelligence 1.1k
  • Developmental and Educational Psychology 349
  • Human-Computer Interaction 150
  • Computer Vision and Pattern Recognition 468
  • Health Informatics 29
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Gillian Smith United States
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Nils Dahlbäck Sweden
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George Caridakis Greece
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Citations per year

Countries citing papers authored by Antonios Liapis

Since Specialization
Citations

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

Fields of papers citing papers by Antonios Liapis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Antonios Liapis, 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 Antonios Liapis Line = papers co-authored together Antonios Liapis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018125
2
Sentient sketchbook : computer-assisted game level authoring
201399
3
Mixed-initiative co-creativity
201498
4 201972
5 201460
6
Computational game creativity
201454
7 201752
8 201846
9 201244
10 201743
11 201442
12 201340
13 202140
14
Can computers foster human users' creativity? Theory and praxis of mixed-initiative co-creativity
201637
15 202437
16 202035
17 201628
18 201327
19
Generative agents for player decision modeling in games
201425
20 201421

About Antonios Liapis

Antonios Liapis is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 119 papers that have together received 1.6k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (66 papers), Digital Games and Media (50 papers), Educational Games and Gamification (31 papers), Video Analysis and Summarization (24 papers), Evolutionary Algorithms and Applications (14 papers), Emotion and Mood Recognition (11 papers), Reinforcement Learning in Robotics (10 papers) and Data Visualization and Analytics (8 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Developmental and Educational Psychology (349 citations), Human-Computer Interaction (150 citations), Computer Vision and Pattern Recognition (468 citations) and Health Informatics (29 citations). Antonios Liapis has collaborated with scholars based in Malta, Denmark and United Kingdom. Frequent co-authors include Georgios N. Yannakakis, Julian Togelius, Phil Lopes, Rafael Bidarra, Georgios N. Yannakakis, Christoffer Holmgård, Jichen Zhu, Sebastian Risi, G. Michael Youngblood and Mike Preuß. Their work appears in journals such as IEEE Transactions on Affective Computing, Journal on Computing and Cultural Heritage, IEEE Transactions on Computational Intelligence and AI in Games, AI Magazine and Evolutionary Computation.

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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