Mapping a Decade of Research Trends in Plastic Surgery: A Topic Modeling Analysis of PSTM Abstracts

The BERTopic model effectively identified core areas of focus, emerging areas of interest, and relationships between research topics. This approach offers a data-driven framework for understanding evolving academic trends and can inform conference programming, funding priorities, and curriculum development as the field continues to advance.

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Publication Details

Journal
Plastic & Reconstructive Surgery
Published
2026-02-12
DOI
https://doi.org/10.1097/prs.0000000000012926
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Mapping a Decade of Research Trends in Plastic Surgery: A Topic Modeling Analysis of PSTM Abstracts

Sarah Barnett, Saïd C. Azoury
Plastic & Reconstructive Surgery
Computational and Text Analysis Methods
article

Mapping a Decade of Research Trends in Plastic Surgery: A Topic Modeling Analysis of PSTM Abstracts

Sarah Barnett, Saïd C. Azoury
article en

Abstract

The BERTopic model effectively identified core areas of focus, emerging areas of interest, and relationships between research topics. This approach offers a data-driven framework for understanding evolving academic trends and can inform conference programming, funding priorities, and curriculum development as the field continues to advance.

Plastic & Reconstructive Surgery
University of Pennsylvania (US)
Openalex Percentile: Top 71%
Computational and Text Analysis Methods
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Mapping a Decade of Research Trends in Plastic Surgery: A Topic Modeling Analysis of PSTM Abstracts — Sarah Barnett, Saïd C. Azoury · Plastic & Reconstructive Surgery (2026) | TGRS Research Map | TGRS