About

Riccardo Oliva has established himself as a pioneering force at the intersection of robotic surgery, minimally invasive gynecologic oncology, and emerging surgical technologies. His research centers on advancing robotic surgical platforms, optimizing operative workflows, and expanding the boundaries of what is surgically possible across disciplines. Oliva's most recognized contribution is his foundational work on the HUGO™ RAS system, including one of the earliest and most comprehensive descriptions of its architecture and gynecological docking protocols, now cited nearly 80 times. Complementing this, his CUSUM-based learning curve analysis has provided surgeons with a rigorous, data-driven framework for mastering robotic docking efficiency — a practical advancement with direct clinical implications. Perhaps most strikingly, Oliva contributed to landmark transpacific telesurgery experiments connecting Orlando and Shanghai, demonstrating the real-world viability of ultra-low-latency remote surgery — work that has already accumulated 21 citations since 2024. His subsequent involvement in the Society of Robotic Surgery's best-practice telesurgery framework underscores his growing influence in shaping global surgical policy. Through extensive institutional experience treating gynecological cancer recurrences robotically and evaluating vaginal surgical approaches, Oliva consistently bridges innovation with patient-centered outcomes, making him a compelling voice in the future of surgical medicine.

Research Focus

Key Achievements

7
H-Index
15
Papers
209
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Introducing the New Surgical Robot HUGO™ RAS: System Description and Docking Settings for Gynecological Surgery
79 citations · 2022
📈 Most Prolific Year: 2024 (7 Papers)
🤝 Key Collaborators: 87
🏛 Institutions: Università Cattolica del Sacro Cuore, Agostino Gemelli University Polyclinic, Institut de Recherche contre les Cancers de l’Appareil Digestif

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago