Philip Bontrager

25 total papers · 552 total citations
9 papers, 171 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 171 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 Artificial Intelligence in Games (4 papers), Reinforcement Learning in Robotics (4 papers) and Digital Games and Media (3 papers). Philip Bontrager is often cited by papers focused on Artificial Intelligence in Games (4 papers), Reinforcement Learning in Robotics (4 papers) and Digital Games and Media (3 papers). Philip Bontrager collaborates with scholars based in United States, Denmark and Netherlands. Philip Bontrager's co-authors include Julian Togelius, Aditi Roy, Nasir Memon, Arun Ross, Ahmed Khalifa, André Sales Mendes, Sebastian Risi, Matthew Stephenson, Peng Chen and M. D’Zmura 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 166 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Philip Bontrager	95	81	59	44	25	9	171
Alexander Nareyek	156 1.6×	34 0.4×	13 0.2×	22 0.5×	12 0.5×	14	198
Sahar Abdelnabi	143 1.5×	91 1.1×	54 0.9×	39 0.9×	54 2.2×	11	280
Noah Apthorpe	83 0.9×	18 0.2×	78 1.3×	78 1.8×	63 2.5×	12	228
Alessandro B. Melchiorre	87 0.9×	40 0.5×	50 0.8×	24 0.5×	83 3.3×	9	183
John V. Cugini	65 0.7×	133 1.6×	33 0.6×	30 0.7×	96 3.8×	11	236
Emilio Parisotto	105 1.1×	28 0.3×	6 0.1×	13 0.3×	22 0.9×	7	160
Scott Alfeld	166 1.7×	16 0.2×	46 0.8×	34 0.8×	45 1.8×	11	229
Tribhuvanesh Orekondy	112 1.2×	67 0.8×	26 0.4×	17 0.4×	18 0.7×	11	167
Kris Popat	69 0.7×	126 1.6×	32 0.5×	13 0.3×	47 1.9×	15	239
Khawar Mehmood	222 2.3×	32 0.4×	65 1.1×	8 0.2×	23 0.9×	8	290

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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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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