Matthew C. Fontaine

18 papers and 159 indexed citations i.

About

Matthew C. Fontaine is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Matthew C. Fontaine has authored 18 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Matthew C. Fontaine’s work include Artificial Intelligence in Games (6 papers), Reinforcement Learning in Robotics (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Matthew C. Fontaine is often cited by papers focused on Artificial Intelligence in Games (6 papers), Reinforcement Learning in Robotics (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Matthew C. Fontaine collaborates with scholars based in United States. Matthew C. Fontaine's co-authors include Stefanos Nikolaidis, Julian Togelius, Amy K. Hoover, Fernando de Mesentier Silva, Scott Lee, L. B. Soros, Heather Culbertson, Ruilin Liu, Bistra Dilkina and Ahmed Khalifa and has published in prestigious journals such as Lecture notes in computer science, IEEE Robotics and Automation Letters and IEEE Transactions on Haptics.

In The Last Decade

Co-authorship network of co-authors of Matthew C. Fontaine i

Fields of papers citing papers by Matthew C. Fontaine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Fontaine. 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 Matthew C. Fontaine. The network helps show where Matthew C. Fontaine may publish in the future.

Countries citing papers authored by Matthew C. Fontaine

Since Specialization
Citations

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

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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