Shubhalaxmi Kher Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
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Biography and Research Information
OverviewAI-generated summary
Shubhalaxmi Kher's research focuses on the application of advanced computational methods, including neural networks, to address challenges in areas such as music appreciation and recommendation systems. Her work also extends to virtual reality and motion capture for training purposes. Kher has a recent publication in 2022 on a hybrid context-content based music recommendation system and another in 2021 concerning virtual reality and motion capture training. Her scholarship metrics include an h-index of 8, with 43 total publications and 203 total citations. Kher has collaborated with several colleagues at Arkansas State University, including Victor Omowonuola, Zachary Ridgeway, Babette Vandeput, and Yuka Yamashiro.
Metrics
- h-index: 8
- Publications: 43
- Citations: 203
Selected Publications
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Hybrid Context-Content Based Music Recommendation System (2022)
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Estimating Musical Appreciation Using Neural Network (2021)
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Virtual Reality and Motion Capture Training (2021)
Collaboration Network
Top Collaborators
- Estimating Musical Appreciation Using Neural Network
- Virtual Reality and Motion Capture Training
- Hybrid Context-Content Based Music Recommendation System
- Virtual Reality and Motion Capture Training
- Virtual Reality and Motion Capture Training
- Virtual Reality and Motion Capture Training
- Estimating Musical Appreciation Using Neural Network
- Hybrid Context-Content Based Music Recommendation System
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