Papers

3

Total Citations

325

H-Index

3

About

Manav Raj is a prominent researcher at the intersection of artificial intelligence, robotics, and their economic and organizational consequences. His work has made significant contributions to understanding how emerging technologies reshape labor markets, firm productivity, and broader economic structures, earning him over 325 citations across his most influential publications. Raj's most cited work, "Primer on Artificial Intelligence and Robotics" (2019, 160 citations), serves as a foundational resource for economists and management scholars, synthesizing nascent research streams on AI and robotics within these disciplines. Complementing this, his collaborative research on AI, labor, and productivity has been particularly impactful, identifying a critical gap in the empirical literature: the over-reliance on industry-level aggregated data rather than firm-level analysis. By advocating for more systematic, granular data collection, Raj has helped chart a more rigorous methodological path forward for researchers studying technology adoption. His scholarship is especially valuable for students and early-career researchers seeking to navigate the rapidly evolving landscape of AI economics. Through accessible primers and policy-relevant empirical critiques, Raj bridges theoretical frameworks with real-world organizational implications, making him an influential voice in shaping how academia approaches the future of work in an AI-driven economy.

Research Focus

Key Achievements

3
H-Index
3
Papers
325
Total Citations
108
Avg Citations/Paper
🏆 Most Cited Paper
Primer on artificial intelligence and robotics
160 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: New York University, National Bureau of Economic Research

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago