Nicola Magaletti
Papers
2
Total Citations
6
H-Index
2
About
Nicola Magaletti is a researcher whose work sits at the intersection of process engineering, digital transformation, and applied artificial intelligence, with a particular focus on small and medium-sized enterprises (SMEs). His most cited research, "Process Engineering and AI Sales Prediction: The Case Study of an Italian Small Textile Company," demonstrates his commitment to bridging theoretical frameworks with practical, industry-driven solutions. In this work, Magaletti employs Business Process Modelling Notation (BPMN) to engineer and optimize production processes, then integrates AI-driven sales prediction to enhance operational efficiency. By applying these advanced digital technologies to a traditional textile company, he showcases how SMEs can leverage data and process redesign to remain competitive. Although his citation counts are currently modest—with his flagship paper accumulating 4 and 2 citations respectively—his work is notable for its hands-on, case-study approach that directly addresses real-world industrial challenges. Magaletti’s contributions are particularly valuable for researchers and practitioners interested in the digitalization of manufacturing, offering a replicable model for process innovation in resource-constrained settings. His research stands as a compelling example of how engineering and AI can converge to drive tangible business outcomes.
Research Focus
Key Achievements
Top Papers
- 1
- 2