José Font
Impact in
- Artificial Intelligence top 10%
- Artificial Intelligence in Games
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
Papers in
-
- Artificial Intelligence in Games 13
- Evolutionary Algorithms and Applications 7
- Metaheuristic Optimization Algorithms Research 4
- Co-authors
- Steve DahlskogJohan HolmbergJulian TogeliusDaniel ManriqueSimon JohanssonTobias MahlmannPatrik NilssonThomas Pederson
- Journals
- Applied Soft Computing (1 paper)Natural Computing (1 paper)Soft Computing (1 paper)Expert Systems with Applications (1 paper)IEEE Transactions on Games (2 papers)
- Partner nations
- SwedenSpainUnited States
In The Last Decade
José Font
22 papers receiving 189 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 152
- Human-Computer Interaction 25
- Developmental and Educational Psychology 53
- Computer Vision and Pattern Recognition 59
- Computer Graphics and Computer-Aided Design 9
Countries citing papers authored by José Font
This map shows the geographic impact of José Font'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 José Font with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Font more than expected).
Fields of papers citing papers by José Font
This network shows the impact of papers produced by José Font. 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 José Font. The network helps show where José Font may publish in the future.
Co-authorship network
The 14 scholars most cited alongside José Font, 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 | 4 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 0 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 25 | |
| 10 | 2018 | 15 | |
| 11 | 2017 | 3 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 21 | |
| 14 | 2017 | 40 | |
| 15 | 2015 | 2 | |
| 16 | 2014 | 1 | |
| 17 | Towards the automatic generation of card games through Grammar-Guided Genetic Programming | 2013 | 9 |
| 18 | 2012 | 4 | |
| 19 | 2010 | 3 | |
| 20 | 2010 | 2 |
About José Font
José Font is a scholar working on Human-Computer Interaction, Artificial Intelligence, Developmental and Educational Psychology, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 199 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (13 papers), Digital Games and Media (11 papers), Evolutionary Algorithms and Applications (7 papers), Educational Games and Gamification (6 papers), Metaheuristic Optimization Algorithms Research (4 papers), Gene Regulatory Network Analysis (4 papers), Human Motion and Animation (3 papers) and Augmented Reality Applications (2 papers). The work is most often cited by research in Artificial Intelligence (152 citations), Human-Computer Interaction (25 citations), Developmental and Educational Psychology (53 citations), Computer Vision and Pattern Recognition (59 citations) and Computer Graphics and Computer-Aided Design (9 citations). José Font has collaborated with scholars based in Sweden, Spain and United States. Frequent co-authors include Steve Dahlskog, Johan Holmberg, Julian Togelius, Daniel Manrique, Simon Johansson, Tobias Mahlmann, Patrik Nilsson, Thomas Pederson, David del Río and Fernando Alonso. Their work appears in journals such as Applied Soft Computing, Natural Computing, Soft Computing, Expert Systems with Applications and IEEE Transactions on Games.
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.