Yukio Ohsawa

The University of Tokyo

Papers

1

Total Citations

5

H-Index

1

About

Yukio Ohsawa is a pioneering researcher in the fields of data mining, chance discovery, and human-computer interaction, best known for developing the concept of "chance discovery" — a methodology that bridges artificial intelligence and cognitive science to help humans identify rare but significant events that can lead to innovation or risk mitigation. His work has profoundly influenced how researchers approach the intersection of data analysis and human decision-making, with his most-cited contributions accumulating over 5,000 citations globally. Ohsawa’s notable achievements include founding the International Workshop on Chance Discovery and editing seminal volumes on the topic, which have become foundational texts for students and practitioners alike. His research extends to soft computing and pattern recognition, as evidenced by his editorial role in the *Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)*. By integrating computational methods with psychological insights, Ohsawa has empowered researchers to navigate complex data landscapes, making his work indispensable for those studying how to extract actionable knowledge from uncertainty.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago