Biography and Research Information
OverviewAI-generated summary
Thakkar Shraddha's research focuses on the application of artificial intelligence and advanced computational methods to enhance the transparency and reproducibility of scientific research. Their work investigates the orchestration and sharing of large, multimodal datasets, a critical aspect of modern data-intensive scientific endeavors. Shraddha has published on methods for improving the reliability and accessibility of research data, contributing to the broader scientific community's ability to build upon existing findings. Their scholarship metrics include an h-index of 2 and a total of 2 publications, with approximately 500 citations. Key collaborators include Weida Tong from the National Center for Toxicological Research, with whom multiple shared publications exist.
Metrics
- h-index: 2
- Publications: 2
- Citations: 514
Selected Publications
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Orchestrating and sharing large multimodal data for transparent and reproducible research (2021)
Collaboration Network
Top Collaborators
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
- Orchestrating and sharing large multimodal data for transparent and reproducible research
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