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Biography and Research Information
OverviewAI-generated summary
Tarun Garg is a faculty member at the University of Arkansas for Medical Sciences. His research has focused on the application of artificial intelligence and machine learning techniques to various scientific and medical domains. This includes the predictive assessment of cooling systems using ANN and MLR models, as well as the semantic evaluation of language models for user trust and graph semantics. Garg's work also extends to clinical research, with publications on the comparative study of surgical drains for chronic subdural hematoma and risk factors for post-traumatic seizures. Additionally, his research has touched upon the role of connective tissue disorders and autoantibodies in idiopathic multicentric Castleman disease.
Garg holds a strong academic profile with an h-index of 47 and has authored 94 publications, accumulating over 5,817 citations. He is recognized as a highly cited researcher and maintains an active laboratory website, indicating ongoing research endeavors. His recent activity and high citation count suggest continued engagement in impactful scholarly work.
Metrics
- h-index: 47
- Publications: 94
- Citations: 5,860
Selected Publications
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Common connective tissue disorder and anti-cytokine autoantibodies are enriched in idiopathic multicentric castleman disease patients (2025)
Collaboration Network
Top Collaborators
- Comparative study of subgaleal and subdural closed drain in surgically treated cases of chronic subdural hematoma
- A prospective study to determine the risk factors associated with post traumatic seizures: A single institution experience
- Comparative study of subgaleal and subdural closed drain in surgically treated cases of chronic subdural hematoma
- A prospective study to determine the risk factors associated with post traumatic seizures: A single institution experience
- Comparative study of subgaleal and subdural closed drain in surgically treated cases of chronic subdural hematoma
- A prospective study to determine the risk factors associated with post traumatic seizures: A single institution experience
- Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa
- Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
- Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa
- Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
- Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
- Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
- Comparative study of subgaleal and subdural closed drain in surgically treated cases of chronic subdural hematoma
- Predictive assessment from ANN and MLR models to optimize the ideal evaporative/hybrid cooler based on experimental observations
- Predictive assessment from ANN and MLR models to optimize the ideal evaporative/hybrid cooler based on experimental observations
- A prospective study to determine the risk factors associated with post traumatic seizures: A single institution experience
- A prospective study to determine the risk factors associated with post traumatic seizures: A single institution experience
- A prospective study to determine the risk factors associated with post traumatic seizures: A single institution experience
- A prospective study to determine the risk factors associated with post traumatic seizures: A single institution experience
- A prospective study to determine the risk factors associated with post traumatic seizures: A single institution experience
- Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
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