Philip Bontrager

556 total citations
9 papers, 172 citations indexed

About

Philip Bontrager is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Philip Bontrager has authored 9 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Philip Bontrager's work include Reinforcement Learning in Robotics (4 papers), Artificial Intelligence in Games (4 papers) and Digital Games and Media (3 papers). Philip Bontrager is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Artificial Intelligence in Games (4 papers) and Digital Games and Media (3 papers). Philip Bontrager collaborates with scholars based in United States, Netherlands and Denmark. Philip Bontrager's co-authors include Julian Togelius, Aditi Roy, Nasir Memon, Arun Ross, Ahmed Khalifa, André Sales Mendes, Sebastian Risi, Michael Cerny Green, Li Sun and Christoph Salge and has published in prestigious journals such as Research Publications (Maastricht University), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

In The Last Decade

Philip Bontrager

9 papers receiving 167 citations

Peers

Philip Bontrager

AI

CVPR

SP

SPS

IS

Matthew Molineaux United States

Mustafa Atay United States

Alessandro B. Melchiorre Austria

Jan Van Haaren Belgium

Daryl Johnson United States

Tribhuvanesh Orekondy Germany

Emilio Parisotto United States

Chris Martens United States

Markus Gärtner Germany

Angelo E. M. Ciarlini Brazil

Matthew Molineaux United States

Philip Bontrager

233 ×2.5

AI

28 ×0.3

CVPR

20 ×0.3

SP

18 ×0.4

SPS

10 ×0.4

IS

Citations per year, relative to Philip Bontrager Philip Bontrager (= 1×) peers Matthew Molineaux

Countries citing papers authored by Philip Bontrager

Since Specialization

Citations

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

Fields of papers citing papers by Philip Bontrager

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Bontrager. 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 Philip Bontrager. The network helps show where Philip Bontrager may publish in the future.

Co-authorship network of co-authors of Philip Bontrager

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Bontrager. A scholar is included among the top collaborators of Philip Bontrager 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 Philip Bontrager. Philip Bontrager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Sun, Li, Chaitanya Ahuja, Peng Chen, et al.. (2025). Multi-Modal Large Language Models are Effective Vision Learners. 8617–8626. 1 indexed citations

2.

Green, Michael Cerny, et al.. (2021). Game Mechanic Alignment Theory. 1–11. 1 indexed citations

3.

Khalifa, Ahmed, et al.. (2021). Learning Controllable Content Generators. 1–9. 25 indexed citations

4.

Khalifa, Ahmed, et al.. (2020). Rotation, Translation, and Cropping for Zero-Shot Generalization. 57–64. 6 indexed citations

5.

Stephenson, Matthew, et al.. (2019). "Superstition" in the Network:Deep Reinforcement Learning Plays Deceptive Games. Research Publications (Maastricht University). 2 indexed citations

6.

Bontrager, Philip, Aditi Roy, Julian Togelius, Nasir Memon, & Arun Ross. (2018). DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution. 1–9. 87 indexed citations

7.

Bontrager, Philip, et al.. (2018). Procedural Level Generation Improves Generality of Deep Reinforcement Learning. arXiv (Cornell University). 7 indexed citations

8.

Bontrager, Philip, Aditi Roy, Julian Togelius, & Nasir Memon. (2017). DeepMasterPrint: Generating Fingerprints for Presentation Attacks. arXiv (Cornell University). 14 indexed citations

9.

Bontrager, Philip, Ahmed Khalifa, André Sales Mendes, & Julian Togelius. (2016). Matching Games and Algorithms for General Video Game Playing. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12(1). 122–128. 29 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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