Dustin Morrill

1.0k total citations · 1 hit paper
7 papers, 437 citations indexed

About

Dustin Morrill is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Dustin Morrill has authored 7 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Economics and Econometrics. Recurrent topics in Dustin Morrill's work include Artificial Intelligence in Games (5 papers), Advanced Bandit Algorithms Research (4 papers) and Sports Analytics and Performance (2 papers). Dustin Morrill is often cited by papers focused on Artificial Intelligence in Games (5 papers), Advanced Bandit Algorithms Research (4 papers) and Sports Analytics and Performance (2 papers). Dustin Morrill collaborates with scholars based in Canada, United Kingdom and United States. Dustin Morrill's co-authors include Michael Bowling, Kevin Waugh, Neil Burch, Viliam Lisý, Michael Johanson, Trevor Davis, Matej Moravčík, Nolan Bard, Martin Schmid and J. Andrew Bagnell and has published in prestigious journals such as Science, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Dustin Morrill

7 papers receiving 419 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
Dustin Morrill Canada	4	285	71	69	58	37	7	437
Matej Moravčík Czechia	3	282 1.0×	72 1.0×	59 0.9×	62 1.1×	40 1.1×	7	424
Trevor Davis United States	5	293 1.0×	75 1.1×	59 0.9×	94 1.6×	41 1.1×	8	480
Nolan Bard Canada	9	443 1.6×	126 1.8×	93 1.3×	92 1.6×	84 2.3×	17	654
Peng Qian China	15	380 1.3×	51 0.7×	20 0.3×	53 0.9×	5 0.1×	45	907
Umang Gupta India	8	260 0.9×	25 0.4×	79 1.1×	28 0.5×	4 0.1×	25	451
Christoph Dann United States	8	189 0.7×	12 0.2×	54 0.8×	15 0.3×	15 0.4×	14	406
Attila Kiss Hungary	11	271 1.0×	18 0.3×	53 0.8×	126 2.2×	5 0.1×	67	488
Sayash Kapoor United States	9	153 0.5×	10 0.1×	32 0.5×	34 0.6×	5 0.1×	15	435
Ananya Ganesh United States	5	149 0.5×	19 0.3×	25 0.4×	21 0.4×	2 0.1×	11	366

Countries citing papers authored by Dustin Morrill

Since Specialization

Citations

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

Fields of papers citing papers by Dustin Morrill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dustin Morrill

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

All Works

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7 of 7 papers shown

1.

Morrill, Dustin, et al.. (2021). Hindsight and Sequential Rationality of Correlated Play. Proceedings of the AAAI Conference on Artificial Intelligence. 35(6). 5584–5594. 4 indexed citations

2.

Morrill, Dustin, et al.. (2020). Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. Adaptive Agents and Multi-Agents Systems. 339–347. 1 indexed citations

3.

Hennes, Daniel, Dustin Morrill, Shayegan Omidshafiei, et al.. (2020). Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. 492–501. 8 indexed citations

4.

Morrill, Dustin, et al.. (2020). Hindsight and Sequential Rationality of Correlated Play. arXiv (Cornell University). 35(6). 5584–5594. 1 indexed citations

5.

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 →

6.

Morrill, Dustin. (2016). Using Regret Estimation to Solve Games Compactly. University of Alberta Library. 2 indexed citations

7.

Waugh, Kevin, Dustin Morrill, J. Andrew Bagnell, & Michael Bowling. (2015). Solving Games with Functional Regret Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 2138–2144. 12 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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