Susan Gauch

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

High Impact

Professor - Engineering

University of Arkansas primary UA Little Rock

Also affiliated: University of North Carolina at Chapel Hill (1989–2021); Northeastern University (1992–1993); North Carolina State University (2003); University of Kansas (1994–2020); Wellesley College (1989–1992); University of Arkansas System (2023); Imperial College London (2000)

32 h-index 160 pubs 4,350 cited

Research Areas

Biomedical Subjects

Links

ORCID Lab Website

OverviewAI-generated summary

Susan Gauch's research interests lie in the areas of computer simulation, information retrieval, and machine learning applications. Her work has focused on developing personalized search engines and improving user profile generation. She has investigated methods for incorporating quality metrics into information retrieval systems on the World Wide Web and explored ontology-based approaches for personalized search and browsing.

More recently, Gauch has published on advanced machine learning techniques, including BERT-based facial micro-expression recognition. Her research has been recognized through a high-impact designation for being highly cited. Gauch has a notable record of scholarly output, with an h-index of 32, 166 total publications, and over 4,300 citations. She actively collaborates with other researchers at the University of Arkansas at Fayetteville, including Uttamasha Oyshi, Gibson Nkhata, Andrew Mackey, and Han‐Seok Seo, with whom she has multiple shared publications.

Metrics

h-index: 32
Publications: 160
Citations: 4,350

Positions

Professor - Engineering publications 2008–2026

University of Arkansas at Fayetteville Institution web page

Selected Publications

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation (2026)

Underline Science Inc. DOI OpenAlex
ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation (2026)

DOI OpenAlex
ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation (2026)

arXiv (Cornell University) OpenAlex
Fair Learning for Bias Mitigation and Quality Optimization in Paper Recommendation (2026)

arXiv (Cornell University) OpenAlex
Causal Analysis of Author Demographics in Academic Peer Review (2026)

arXiv (Cornell University) OpenAlex
From Bias to Balance: Fairness-Aware Paper Recommendation for Equitable Peer Review (2026)

arXiv (Cornell University) OpenAlex
Boolean-Aware Attention for Dense Retrieval (2026)

Lecture notes in networks and systems DOI OpenAlex
Causal Analysis of Author Demographics in Academic Peer Review (2025)

Open MIND DOI OpenAlex
Verifying Rumors via Stance-Aware Structural Modeling (2025)

arXiv (Cornell University) DOI OpenAlex
NUTMEG: Separating Signal From Noise in Annotator Disagreement (2025)

DOI OpenAlex
Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models (2025)

DOI OpenAlex
Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis (2025)

1 citation DOI OpenAlex
NeIn: Telling What You Don't Want (2025)

2 citations DOI OpenAlex
Assessing the value of phase to deep SAR ATR via noninferiority testing (2025)

DOI OpenAlex
Comparison Analyses of Consumer Acceptance, Evoked Emotions, and Purchase Intent Between Gluten‐Containing Versus Gluten‐Free Chocolate Chip Cookie Products (2025)

Journal of Food Science 5 citations DOI OpenAlex