Antonio A. Sánchez‐Ruiz
- Information Systems top 5%
- Recommender Systems and Techniques 2
- Blockchain Technology Applications and Security 2
-
- Artificial Intelligence in Games 6
- AI-based Problem Solving and Planning 3
- Reinforcement Learning in Robotics 2
-
- Digital Games and Media 2
-
- Constraint Satisfaction and Optimization 2
-
- Educational Games and Gamification 2
- Co-authors
- Guillermo Jiménez-DíazSamer HassanBelén Díaz‐AgudoJuan A. Recio-GarcíaPedro A. González-CaleroMarco Antonio Gómez-MartínFederico PeinadoMarc Cavazza
- Journals
- Information Processing & Management (1 paper)Lecture notes in computer science (1 paper)International Journal of Artificial Intelligence in Education (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Antonio A. Sánchez‐Ruiz
16 papers receiving 184 citations
Peers
Comparison fields: 5 of 57
- Information Systems 107
- Artificial Intelligence 79
- Information Systems and Management 17
- Health Informatics 3
- Management Information Systems 19
Countries citing papers authored by Antonio A. Sánchez‐Ruiz
This map shows the geographic impact of Antonio A. Sánchez‐Ruiz'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 Antonio A. Sánchez‐Ruiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio A. Sánchez‐Ruiz more than expected).
Fields of papers citing papers by Antonio A. Sánchez‐Ruiz
This network shows the impact of papers produced by Antonio A. Sánchez‐Ruiz. 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 Antonio A. Sánchez‐Ruiz. The network helps show where Antonio A. Sánchez‐Ruiz may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Antonio A. Sánchez‐Ruiz, 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 | 2022 | 6 | |
| 2 | 2021 | 27 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 4 | |
| 5 | 2019 | 44 | |
| 6 | Training Pac-Man bots using reinforcement learning and case-based reasoning. | 2017 | 2 |
| 7 | 2017 | 8 | |
| 8 | 2017 | 1 | |
| 9 | Dynamic Difficulty Adjustment in Tetris. | 2016 | 7 |
| 10 | 2016 | 11 | |
| 11 | 2016 | 5 | |
| 12 | A Neuroevolution Approach to Imitating Human-Like Play in Ms. Pac-Man Video Game. | 2016 | 4 |
| 13 | Calibrating a Metric for Similarity of Stories against Human Judgement. | 2015 | 2 |
| 14 | 2014 | 7 | |
| 15 | Lessons Learnt in the Development of a CBR Framework | 2010 | 8 |
| 16 | 2009 | 56 |
About Antonio A. Sánchez‐Ruiz
Antonio A. Sánchez‐Ruiz is a scholar working on Human-Computer Interaction, Artificial Intelligence and Information Systems and Management, having authored 16 papers that have together received 193 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (6 papers), AI-based Problem Solving and Planning (3 papers), Digital Games and Media (2 papers), Constraint Satisfaction and Optimization (2 papers), Reinforcement Learning in Robotics (2 papers), Educational Games and Gamification (2 papers), Recommender Systems and Techniques (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Information Systems (107 citations), Artificial Intelligence (79 citations) and Information Systems and Management (17 citations). Antonio A. Sánchez‐Ruiz has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Guillermo Jiménez-Díaz, Samer Hassan, Belén Díaz‐Agudo, Juan A. Recio-García, Pedro A. González-Calero, Marco Antonio Gómez-Martín, Federico Peinado, Marc Cavazza, Mika Shigematsu and Helmut Prendinger. Their work appears in journals such as Information Processing & Management, Lecture notes in computer science and International Journal of Artificial Intelligence in Education.
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.