2026 Hiroshi Motoda: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	45	6975	6773	99	93	329	24031

Research.com Recognitions

2025 - Research.com Computer Science in Japan Leader Award
2022 - Research.com Computer Science in Japan Leader Award

Overview

Hiroshi Motoda is affiliated with Osaka University in Japan. Their research spans multiple fields, primarily focusing on computer science, physics and astronomy, and social sciences.

The main research topics covered by their work include:

Complex Network Analysis Techniques
Graph theory and applications
Transportation Planning and Optimization
Bioinformatics and Genomic Networks
Network Security and Intrusion Detection
Anomaly Detection Techniques and Applications
Data Stream Mining Techniques

Motoda's scholarly contributions include papers published mainly in the venues Social Network Analysis and Mining and Intelligent Data Analysis. Notable recent publications are:

Efficient computation of target-oriented link criticalness centrality in uncertain graphs, 2021, Intelligent Data Analysis
Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition, 2022, Social Network Analysis and Mining
Constructing outlier-free histograms with variable bin-width based on distance minimization, 2023, Intelligent Data Analysis
General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment, 2021, Social Network Analysis and Mining

Their collaboration network includes frequent coauthors such as Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and João Gama.

Motoda has also contributed to book publications with Springer Science+Business Media, including titles such as Advances in Knowledge Discovery and Data Mining published in 2022.

Best Publications

Top 10 algorithms in data mining

Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh

7500
Citations
Feature Selection for Knowledge Discovery and Data Mining

Huan Liu;Hiroshi Motoda

3010
Citations
Computational Methods of Feature Selection

Huan Liu;Hiroshi Motoda

1743
Citations
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data

Akihiro Inokuchi;Takashi Washio;Hiroshi Motoda

1547
Citations
Feature Extraction, Construction and Selection: A Data Mining Perspective

Huan Liu;Hiroshi Motoda

1019
Citations
A flash-memory based file system

Atsuo Kawaguchi;Shingo Nishioka;Hiroshi Motoda

831
Citations
State of the art of graph-based data mining

Takashi Washio;Hiroshi Motoda

673
Citations
Feature Extraction, Construction and Selection

Huan Liu;Hiroshi Motoda

557
Citations
Feature Selection: An Ever Evolving Frontier in Data Mining

Huan Liu;Hiroshi Motoda;Rudy Setiono;Zheng Zhao

462
Citations
Complete Mining of Frequent Patterns from Graphs: Mining Graph Data

Akihiro Inokuchi;Takashi Washio;Hiroshi Motoda

407
Citations
Consistency Based Feature Selection

Manoranjan Dash;Huan Liu;Hiroshi Motoda

304
Citations
Instance Selection and Construction for Data Mining

Huan Liu;Hiroshi Motoda

283
Citations
Blocking links to minimize contamination spread in a social network

Masahiro Kimura;Kazumi Saito;Hiroshi Motoda

278
Citations
On Issues of Instance Selection

Huan Liu;Hiroshi Motoda

277
Citations
Extracting influential nodes on a social network for information diffusion

Masahiro Kimura;Kazumi Saito;Ryohei Nakano;Hiroshi Motoda

254
Citations
Rough Sets and Intelligent Systems Paradigms

M. Kryszkiewicz;C. Cornelis;D. Ciucci;J. Medina Moreno

253
Citations
A selective sampling approach to active feature selection

Huan Liu;Hiroshi Motoda;Lei Yu

226
Citations
Knowledge acquisition for knowledge-based systems

H. Motoda;R. Mizoguchi;J. Boose;B. Gaines

204
Citations
Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis

Kazumi Saito;Masahiro Kimura;Kouzou Ohara;Hiroshi Motoda

195
Citations
Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)

Huan Liu;Hiroshi Motoda

177
Citations

Frequent Co-Authors

Huan Liu Arizona State University

Longbing Cao University of Technology Sydney

Shusaku Tsumoto Shimane University

Guandong Xu University of Technology Sydney

Osmar R. Zaïane University of Alberta

Jaideep Srivastava University of Minnesota

Riichiro Mizoguchi Japan Advanced Institute of Science and Technology

Philip S. Yu University of Illinois at Chicago

Vincent S. Tseng National Yang Ming Chiao Tung University

Nada Lavrač Jozef Stefan Institute

External Links

Personal website of Hiroshi Motoda Google Scholar page

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