José Font

453 total citations
25 papers, 199 citations indexed

About

José Font is a scholar working on Artificial Intelligence, Sociology and Political Science and Developmental and Educational Psychology. According to data from OpenAlex, José Font has authored 25 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Sociology and Political Science and 6 papers in Developmental and Educational Psychology. Recurrent topics in José Font's work include Artificial Intelligence in Games (13 papers), Digital Games and Media (11 papers) and Evolutionary Algorithms and Applications (7 papers). José Font is often cited by papers focused on Artificial Intelligence in Games (13 papers), Digital Games and Media (11 papers) and Evolutionary Algorithms and Applications (7 papers). José Font collaborates with scholars based in Sweden, Spain and United States. José Font's 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 and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Soft Computing.

In The Last Decade

José Font

22 papers receiving 189 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
José Font Sweden 8 152 99 59 53 25 25 199
Amy K. Hoover United States 11 114 0.8× 43 0.4× 54 0.9× 58 1.1× 7 0.3× 22 235
Ben Samuel United States 10 220 1.4× 136 1.4× 48 0.8× 66 1.2× 15 0.6× 27 276
Erin J. Hastings United States 6 216 1.4× 137 1.4× 110 1.9× 53 1.0× 6 0.2× 7 251
Federico Peinado Spain 8 176 1.2× 48 0.5× 51 0.9× 27 0.5× 12 0.5× 25 248
Nektarios Moumoutzis Greece 9 59 0.4× 34 0.3× 55 0.9× 37 0.7× 12 0.5× 34 243
Adam Summerville United States 11 234 1.5× 136 1.4× 110 1.9× 50 0.9× 5 0.2× 29 273
Ulrike Spierling Germany 6 66 0.4× 42 0.4× 51 0.9× 26 0.5× 34 1.4× 26 156
Steve Dahlskog Sweden 12 273 1.8× 178 1.8× 150 2.5× 75 1.4× 13 0.5× 15 311
Sangho Suh Canada 9 72 0.5× 17 0.2× 24 0.4× 28 0.5× 31 1.2× 20 177
Marc Ponsen Netherlands 8 248 1.6× 96 1.0× 42 0.7× 60 1.1× 8 0.3× 14 302

Countries citing papers authored by José Font

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of José Font

This figure shows the co-authorship network connecting the top 25 collaborators of José Font. A scholar is included among the top collaborators of José Font based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with José Font. José Font is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Font, José, et al.. (2022). Story Designer: Towards a Mixed-Initiative Tool to Create Narrative Structures. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–9. 4 indexed citations
2.
Font, José, et al.. (2022). Towards AI as a Creative Colleague in Game Level Design. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 18(1). 137–145. 5 indexed citations
3.
Font, José, et al.. (2022). Toward Designer Modeling Through Design Style Clustering. IEEE Transactions on Games. 14(4). 676–686. 7 indexed citations
4.
Font, José, et al.. (2022). TropeTwist: Trope-based Narrative Structure Generation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–8. 5 indexed citations
5.
Font, José, et al.. (2021). Questgram [Qg]: Toward a Mixed-Initiative Quest Generation Tool. 1–10. 4 indexed citations
7.
Font, José, et al.. (2020). A Comparative UX Analysis between Tabletop Games and their Digital Counterparts. 301–305. 3 indexed citations
8.
Dahlskog, Steve, et al.. (2020). Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions. IEEE Transactions on Games. 14(2). 202–211. 18 indexed citations
9.
Dahlskog, Steve, et al.. (2018). Fostering creativity in the mixed-initiative evolutionary dungeon designer. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–8. 25 indexed citations
10.
Dahlskog, Steve, et al.. (2018). Assessing aesthetic criteria in the evolutionary dungeon designer. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–4. 15 indexed citations
11.
Font, José, et al.. (2017). Towards Teaching Maternal Healthcare and Nutrition in Rural Ethiopia through a Serious Game. 187–193. 3 indexed citations
12.
13.
Dahlskog, Steve, et al.. (2017). Towards pattern-based mixed-initiative dungeon generation. 1–10. 21 indexed citations
14.
Dahlskog, Steve, et al.. (2017). Mixed-initiative procedural generation of dungeons using game design patterns. 25–32. 40 indexed citations
15.
Font, José, et al.. (2015). Partition based real-valued encoding scheme for evolutionary algorithms. Natural Computing. 15(3). 477–492. 2 indexed citations
16.
Font, José, et al.. (2014). Bacterially inspired evolution of intelligent systems under constantly changing environments. Soft Computing. 19(4). 1071–1083. 1 indexed citations
17.
Font, José, Tobias Mahlmann, Daniel Manrique, & Julian Togelius. (2013). Towards the automatic generation of card games through Grammar-Guided Genetic Programming. Foundations of Digital Games. 360–363. 9 indexed citations
18.
Font, José, et al.. (2012). Bacterially inspired evolving system with an application to time series prediction. Applied Soft Computing. 13(2). 1136–1146. 4 indexed citations
19.
Font, José & Daniel Manrique. (2010). Grammar-guided evolutionary automatic system for autonomously building biological oscillators. 1. 1–7. 3 indexed citations
20.
Alonso, Fernando, Genoveva López, José Font, & Daniel Manrique. (2010). LEARNER SATISFACTION WHEN APPLYING AN INSTRUCTIONAL MODEL IN E-LEARNING - An Experimental Study. 141–146. 2 indexed citations

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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