Trevor Davis

972 total citations · 1 hit paper
8 papers, 480 citations indexed

About

Trevor Davis is a scholar working on Artificial Intelligence, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Trevor Davis has authored 8 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Economics and Econometrics and 2 papers in Sociology and Political Science. Recurrent topics in Trevor Davis's work include Artificial Intelligence in Games (3 papers), Sports Analytics and Performance (2 papers) and Reinforcement Learning in Robotics (2 papers). Trevor Davis is often cited by papers focused on Artificial Intelligence in Games (3 papers), Sports Analytics and Performance (2 papers) and Reinforcement Learning in Robotics (2 papers). Trevor Davis collaborates with scholars based in United States, Canada and Germany. Trevor Davis's co-authors include Michael Bowling, Viliam Lisý, Neil Burch, Matej Moravčík, Kevin Waugh, Nolan Bard, Dustin Morrill, Martin Schmid, Michael Johanson and Matthew Hindman and has published in prestigious journals such as Science, Journal of Communication and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Trevor Davis

8 papers receiving 459 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DeepStack: Expert-level artificial intelligence in heads-up no-limit poker

2017 409 citations Matej Moravčík, Martin Schmid et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Trevor Davis United States	5	293	94	75	59	41	8	480
Matej Moravčík Czechia	3	282 1.0×	62 0.7×	72 1.0×	59 1.0×	40 1.0×	7	424
Dustin Morrill Canada	4	285 1.0×	58 0.6×	71 0.9×	69 1.2×	37 0.9×	7	437
Nolan Bard Canada	9	443 1.5×	92 1.0×	126 1.7×	93 1.6×	84 2.0×	17	654
Noam Brown United States	9	495 1.7×	105 1.1×	109 1.5×	170 2.9×	69 1.7×	19	692
Mohd Nor Akmal Khalid Japan	10	154 0.5×	95 1.0×	41 0.5×	18 0.3×	27 0.7×	72	352
Peng Qian China	15	380 1.3×	53 0.6×	51 0.7×	20 0.3×	5 0.1×	45	907
Shakeel Ahmad Pakistan	17	634 2.2×	143 1.5×	26 0.3×	75 1.3×	12 0.3×	51	912
Christoph Dann United States	8	189 0.6×	15 0.2×	12 0.2×	54 0.9×	15 0.4×	14	406
Syed Waqar Jaffry Pakistan	11	271 0.9×	41 0.4×	11 0.1×	60 1.0×	9 0.2×	35	456
Attila Kiss Hungary	11	271 0.9×	126 1.3×	18 0.2×	53 0.9×	5 0.1×	67	488

Countries citing papers authored by Trevor Davis

Since Specialization

Citations

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

Fields of papers citing papers by Trevor Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trevor Davis

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

All Works

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8 of 8 papers shown

1.

Davis, Trevor, et al.. (2023). Visual misinformation on Facebook. Journal of Communication. 73(4). 316–328. 35 indexed citations

2.

Davis, Trevor & Allen Day. (2019). C-Like 'getopt' Behavior [R package getopt version 1.20.3]. 1 indexed citations

3.

Davis, Trevor, et al.. (2018). From images to voices: A photo analysis of medical and social support needs of people living with HIV/AIDS in Tanzania. Journal of Global Health Reports. 1 indexed citations

4.

Moravčík, Matej, Martin Schmid, Neil Burch, et al.. (2017). DeepStack: Expert-level artificial intelligence in heads-up no-limit poker. Science. 356(6337). 508–513. 409 indexed citations breakdown →

5.

Davis, Trevor, et al.. (2017). The effects of major solar integration on a 21-Bus system: Technology review and PSAT simulations. 1–8. 9 indexed citations

6.

Lisý, Viliam, Trevor Davis, & Michael Bowling. (2016). Counterfactual Regret Minimization in Sequential Security Games. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 12 indexed citations

7.

Davis, Trevor, Neil Burch, & Michael Bowling. (2014). Using Response Functions to Measure Strategy Strength. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 9 indexed citations

8.

Browne, James C., et al.. (1974). Fortran Automatic Code Evaluation System (FACES). NASA Technical Reports Server (NASA). 4 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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