Papers
17
Total Citations
3,320
H-Index
15
About
Rajiv Suman is a prolific researcher whose work sits at the dynamic intersection of Industry 4.0, emerging technologies, and sustainable manufacturing. His scholarship spans artificial intelligence, robotics, IoT, big data, machine vision, and smart agriculture, positioning him as a versatile voice in the digital transformation landscape. Suman's most influential contribution, "Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability" (2022), has amassed an impressive 797 citations, reflecting the urgent global appetite for research connecting technological innovation with ecological responsibility. Alongside this, his studies on robotics capabilities and Agriculture 4.0 applications have each garnered 539 citations, demonstrating consistent impact across multiple domains. His literature-based examination of AI applications for Industry 4.0 has similarly attracted 534 citations, underscoring the field's reliance on his synthesizing frameworks. Suman's work extends into hyperautomation, collaborative robots (cobots), flexible manufacturing systems, and biomedical engineering, revealing an intellectual breadth that bridges industrial practice with emerging scientific frontiers. For students and researchers navigating the fast-evolving terrain of smart manufacturing and digital innovation, Suman's body of work offers an indispensable, well-cited foundation that connects cutting-edge technology with real-world operational and sustainability challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Substantial capabilities of robotics in enhancing industry 4.0 implementation539 citations · 2021
- 3Enhancing smart farming through the applications of Agriculture 4.0 technologies539 citations · 2022
- 4Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study534 citations · 2021
- 5
- 6
- 7Hyperautomation for the enhancement of automation in industries125 citations · 2021
- 8Significant applications of Cobots in the field of manufacturing101 citations · 2022
- 9Significant Applications of Big Data in Industry 4.086 citations · 2021
- 10