Shunji Umetani

Osaka University

H-index: 9

Asia-Japan

About Shunji Umetani

Shunji Umetani, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Osaka University, specializes in the field of Combinatorial Optimization, Mathematical Programming, Metaheuristics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Operating Range Estimation for Price Optimization

Coordinate descent heuristics for the irregular strip packing problem of rasterized shapes

Curse of Scale-Freeness: Intractability of Large-Scale Combinatorial Optimization with Multi-Start Methods

Cutting and packing problems: from the perspective of combinatorial optimization

An efficient branch-and-cut algorithm for submodular function maximization

Shunji Umetani Information

University	Osaka University
Position	Professor Graduate School of Information Science and Technology
Citations(all)	609
Citations(since 2020)	218
Cited By	450
hIndex(all)	9
hIndex(since 2020)	8
i10Index(all)	9
i10Index(since 2020)	6
Email	Access Email
University Profile Page	Osaka University
Google Scholar	View Google Scholar Profile

Shunji Umetani Skills & Research Interests

Combinatorial Optimization

Mathematical Programming

Metaheuristics

Top articles of Shunji Umetani

Title	Journal	Author(s)	Publication Date
Operating Range Estimation for Price Optimization		Shunnosuke Ikeda Naoki Nishimura Shunji Umetani	2023/12/4
Coordinate descent heuristics for the irregular strip packing problem of rasterized shapes	European journal of operational research	Shunji Umetani Shohei Murakami	2022/12/16
Curse of Scale-Freeness: Intractability of Large-Scale Combinatorial Optimization with Multi-Start Methods	arXiv:2210.16678v3	Hiroyuki Masuyama Hiroshige Dan Shunji Umetani	2022/11/1
Cutting and packing problems: from the perspective of combinatorial optimization		Mutsunori Yagiura Shunji Umetani Shinji Imahori Yannan Hu	2021
An efficient branch-and-cut algorithm for submodular function maximization	Journal of the Operations Research Society of Japan	Naoya Uematsu Shunji Umetani Yoshinobu Kawahara	2020/4/30