Papers

2

Total Citations

26

H-Index

2

About

Alessandro Caputo is a researcher at the intersection of digital pathology and human-robot interaction, exploring how technology transforms both medical diagnostics and customer service. His most cited work, "Digital Pathology" (2021, 19 citations), examines the implications of adopting digital pathology for routine diagnosis, highlighting how digital slides enable precise measurements and streamline clinical workflows—a contribution that underscores the shift toward data-driven, efficient pathology practices. In a complementary vein, his study "Investigating Customers' Preferences of Robot's Serving Styles" (2022, 7 citations) investigates how robot waiters’ service styles influence customer perceptions, analyzing responses from 53 participants to video interactions. This work reveals nuanced preferences in robotic service delivery, offering insights for designing more acceptable and engaging autonomous systems in food industries. Caputo’s research bridges technical innovation and human experience, demonstrating impact through citations that reflect growing interest in both digital health and social robotics. His ability to address practical challenges—from diagnostic accuracy to customer satisfaction—positions him as a forward-thinking contributor to technology’s role in everyday life, making his work valuable for students and researchers exploring the human-tech interface.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Digital Pathology
19 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ospedali Riuniti San Giovanni di Dio e Ruggi d'Aragona, University of Naples Federico II

Top Papers

  1. 1
    Digital Pathology
    19 citations · 2021
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago