Shivani Agarwal

Teerthanker Mahaveer University

Papers

1

Total Citations

5

H-Index

1

About

Shivani Agarwal is a pioneering researcher at the intersection of artificial intelligence and healthcare, with a particular focus on the pharmacy profession. Her most-cited work, "Artificial Intelligence in the Pharmacy Profession" (2021), has garnered 5 citations and provides a critical review of how AI—a term first coined by John McCarthy in 1956—has expanded from its engineering roots into transformative applications in pharma, healthcare, business, and the public sector. Agarwal’s major contribution lies in bridging the gap between advanced computational methods and practical pharmaceutical practice, highlighting how AI can optimize drug discovery, personalized medicine, and clinical decision-making. Her work underscores the potential for AI to revolutionize patient care and operational efficiency in pharmacies. Though early in her career, Agarwal’s research has already sparked interest among scholars and practitioners seeking to integrate intelligent systems into healthcare workflows. By demystifying AI’s role in pharmacy, she is helping to shape a future where technology and medicine converge seamlessly. Her insights are particularly valuable for students and researchers exploring the ethical and practical implications of AI in health sciences.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence in the Pharmacy Profession
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Teerthanker Mahaveer University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago