Megan Smith

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Demo Data from VLDB 2026 / reviewers in the wild / expert

dblp:98/5605 · DBLP profile ↗

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4ranked-venue papers

2as first author

1since 2021 · last 2026

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence

1 paper

Reinforcement learning · 77% Multi-agent systems · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Reinforcement learning policy learning	0.1	1	2007	RETALIATE: Learning Winning Policies in First-Person Shooter Games · AAAI 2007
Knowledge, reasoning and agents › Multi-agent systems › autonomous agents game-playing agents	0.0	1	2007	RETALIATE: Learning Winning Policies in First-Person Shooter Games · AAAI 2007

Methods — techniques the papers use, named apart from their topics

reinforcement learning · 0.1

Year	Publication	Venue	Position
2026	Digital Artists' Perceptions of Generative AI in South Asia: Insights from the South Asian Digital Art Archive (SADA) Najam-Ul Assar, Megan Smith	EvoMUSART	2
2020	Low Thiamine Warnings for Post-Bariatric Surgery Patients Jacob S. Tripp, Megan Smith, Alex DeCleene, Nicholas Williams, Drayton Rodrigues, Richard Rasmussen, Tamara Moores Todd, James Hellewell	AMIA	2
2017	20-month-olds Use Social-Group Membership to Make Inductive Inferences Megan Smith, Rose Scott	CogSci	1
2007	RETALIATE: Learning Winning Policies in First-Person Shooter Games Megan Smith, Stephen Lee-Urban, Hector Muñoz-Avila	AAAI	1