Santiago Ontañón
- Artificial Intelligence top 0.5%
- Artificial Intelligence in Games 75
- Reinforcement Learning in Robotics 23
- Natural Language Processing Techniques 22
- AI-based Problem Solving and Planning 20
- Topic Modeling 19
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- Video Analysis and Summarization 19
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- Educational Games and Gamification 17
- Health Informatics top 10%
- Signal Processing top 10%
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- Digital Games and Media 28
Santiago Ontañón
134 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 523
- Developmental and Educational Psychology 199
- Health Informatics 14
- Signal Processing 97
Countries citing papers authored by Santiago Ontañón
This map shows the geographic impact of Santiago Ontañón'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 Santiago Ontañón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Santiago Ontañón more than expected).
Fields of papers citing papers by Santiago Ontañón
This network shows the impact of papers produced by Santiago Ontañón. 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 Santiago Ontañón. The network helps show where Santiago Ontañón may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Santiago Ontañón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 13 | |
| 2 | 2020 | 148 | |
| 3 | Spatially Aligned Clustering of Driving Simulator Data. | 2020 | 3 |
| 4 | 2019 | 6 | |
| 5 | Extracting CCGs for Plan Recognition in RTS Games. | 2019 | 4 |
| 6 | Learning to Predict Driver Behavior from Observation. | 2017 | 7 |
| 7 | Bridging the Gap Between Computational Narrative and Natural Language Processing. | 2017 | 0 |
| 8 | 2017 | 7 | |
| 9 | 2016 | 11 | |
| 10 | 2015 | 20 | |
| 11 | 2014 | 13 | |
| 12 | 2014 | 26 | |
| 13 | 2013 | 68 | |
| 14 | 2013 | 1 | |
| 15 | Case Acquisition Strategies for Case-Based Reasoning in Real-Time Strategy Games. | 2012 | 9 |
| 16 | 2012 | 32 | |
| 17 | Learning Opponent Strategies through First Order Induction | 2011 | 2 |
| 18 | 2009 | 1 | |
| 19 | Case-based learning from proactive communication | 2007 | 2 |
| 20 | Drama Management Evaluation for Interactive Fiction Games | 2007 | 3 |
About Santiago Ontañón
Santiago Ontañón is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 139 papers that have together received 2.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (75 papers), Digital Games and Media (28 papers), Reinforcement Learning in Robotics (23 papers), Natural Language Processing Techniques (22 papers), AI-based Problem Solving and Planning (20 papers), Topic Modeling (19 papers), Video Analysis and Summarization (19 papers) and Educational Games and Gamification (17 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (523 citations) and Developmental and Educational Psychology (199 citations). Santiago Ontañón has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Shengyi Huang, Joshua Ainslie, Sam Snodgrass, Ilya Eckstein, Jichen Zhu, Enric Plaza, Jichen Zhu, Michael Buro, Ashwin Ram and Manish Mehta.
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.