Dustin Morrill

1.0k citations
7 papers · 437 indexed · 1 hit paper · h-index 4
Topics
Artificial Intelligence in Games (5 papers)Advanced Bandit Algorithms Research (4 papers)Sports Analytics and Performance (2 papers)
Journals
SciencearXiv (Cornell University)Proceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Dustin Morrill

7 papers receiving 419 citations

Hit Papers

DeepStack: Expert-level artificial intelligence in heads-...20172026202020232017100200300400

Peers

Dustin Morrill
Comparison fields: 5 of 92
  • Artificial Intelligence 285
  • Economics and Econometrics 71
  • Management Science and Operations Research 69
  • Sociology and Political Science 58
  • Clinical Psychology 37
Replace Matej Moravčík with:
Matej Moravčík Czechia
Trevor Davis United States
Nolan Bard Canada
Peng Qian China
Ananya Ganesh United States
Umang Gupta India
Azucena Montes Mexico
Sayash Kapoor United States
Anshul Kanakia United States
Dustin Morrill relative to Matej Moravčík Czechia Matej Moravčík's profile →
Citations per field
00.5×1.5×
Matej Moravčík · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 4
2 1
3 8
4 1
5
DeepStack: Expert-level artificial intelligence in heads-up no-limit pokerbreakdown →
409
6 2
7 12

About Dustin Morrill

Dustin Morrill is a scholar working on General Decision Sciences, Management Science and Operations Research and Artificial Intelligence, having authored 7 papers that have together received 437 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (5 papers), Advanced Bandit Algorithms Research (4 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Health Informatics (12 citations) and Management Science and Operations Research (69 citations). Dustin Morrill has collaborated with scholars based in Canada, United Kingdom and United States. Frequent 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. Their work appears in journals such as Science, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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