Andrew Alseth Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas

Last publication 2024 Last refreshed 2026-05-16

faculty

2 h-index 14 pubs 10 cited

Research Areas

Links

ORCID Research Group

OverviewAI-generated summary

Andrew Alseth's research focuses on the theoretical underpinnings of self-replication through tile self-assembly. His work investigates how systems can autonomously replicate universal shapes, a fundamental concept in theoretical computer science and artificial life. Alseth has published multiple papers on this topic, including studies on the abstract Tile Assembly Model and the role of signal-passing tiles in achieving universal shape replication. He has a significant number of shared publications with collaborators Matthew J. Patitz and Daniel Hader, both from the University of Arkansas at Fayetteville, indicating a strong collaborative network within the institution. Alseth's scholarship metrics include an h-index of 2 across 14 total publications, with 10 citations. He remains an active researcher, with recent publications in 2024.

Metrics

h-index: 2
Publications: 14
Citations: 10

Selected Publications

Universal shape replication via self-assembly with signal-passing tiles (2024)

1 citation DOI OpenAlex
Self-replication via tile self-assembly (2024)

DOI OpenAlex
The Need for Seed (in the Abstract Tile Assembly Model) (2023)

DOI OpenAlex
The Need for Seed (in the abstract Tile Assembly Model) (2023)

DOI OpenAlex
Universal Shape Replication Via Self-Assembly With Signal-Passing Tiles (2023)

DOI OpenAlex
Replication of Arbitrary Hole-Free Shapes via Self-assembly with Signal-Passing Tiles (2022)

DOI OpenAlex
Universal Shape Replication Via Self-Assembly With Signal-Passing Tiles (2022)

2 citations DOI OpenAlex
Self-Replication via Tile Self-Assembly (2021)

3 citations DOI OpenAlex
Self-Replication via Tile Self-Assembly (Extended Abstract) (2021)

DOI OpenAlex