Tetsuhiro Miyahara

1.1k total citations
61 papers, 464 citations indexed

About

Tetsuhiro Miyahara is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Nuclear and High Energy Physics. According to data from OpenAlex, Tetsuhiro Miyahara has authored 61 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Tetsuhiro Miyahara's work include Evolutionary Algorithms and Applications (21 papers), Algorithms and Data Compression (21 papers) and Metaheuristic Optimization Algorithms Research (14 papers). Tetsuhiro Miyahara is often cited by papers focused on Evolutionary Algorithms and Applications (21 papers), Algorithms and Data Compression (21 papers) and Metaheuristic Optimization Algorithms Research (14 papers). Tetsuhiro Miyahara collaborates with scholars based in Japan, United States and Russia. Tetsuhiro Miyahara's co-authors include Katsumi Tsuchiya, Liang‐Shih Fan, Hiroaki Ueda, Tomoyuki Uchida, L.‐S. Fan, Keisuke Takahashi, Tetsuji Kuboyama, Keníchi Takahashi, Yusuke Suzuki and Hiromitsu Kozuka and has published in prestigious journals such as Physical Review Letters, Optics Express and Review of Scientific Instruments.

In The Last Decade

Tetsuhiro Miyahara

54 papers receiving 442 citations

Peers

Countries citing papers authored by Tetsuhiro Miyahara

Since Specialization

Citations

This map shows the geographic impact of Tetsuhiro Miyahara's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tetsuhiro Miyahara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuhiro Miyahara more than expected).

Fields of papers citing papers by Tetsuhiro Miyahara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tetsuhiro Miyahara. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tetsuhiro Miyahara. The network helps show where Tetsuhiro Miyahara may publish in the future.

Co-authorship network of co-authors of Tetsuhiro Miyahara

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuhiro Miyahara. A scholar is included among the top collaborators of Tetsuhiro Miyahara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tetsuhiro Miyahara. Tetsuhiro Miyahara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Effect of Small Focus on Electron Heating and Proton Acceleration in Ultrarelativistic Laser-Solid Interactions 2020 ·Physical Review Letters ·N. P. Dover, Mamiko Nishiuchi, H. Sakaki, (unknown), (unknown), A. Ya. Faenov, M. Hata, Natsumi Iwata, Hiromitsu Kiriyama, James Koga, Tetsuhiro Miyahara, T. A. Pikuz, A. S. Pirozhkov, A. Sagisaka, Y. Sentoku, Yukinobu Watanabe, M. Kando, (unknown)	31
2	Using Label Information in a Genetic Programming Based Method for Acquiring Block Preserving Outerplanar Graph Patterns with Wildcards 2019 ·(unknown), (unknown), Tetsuhiro Miyahara, Yusuke Suzuki, Tetsuji Kuboyama, Tomoyuki Uchida	0
3	Acquisition of Multiple Graph Structured Patterns by an Evolutionary Method Using Sets of TTSP Graph Patterns as Individuals 2017 ·(unknown), Tetsuhiro Miyahara, (unknown), Tomoyuki Uchida, (unknown), Tetsuji Kuboyama	2
4	Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets 2017 ·(unknown), Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida	0
5	Acquisition of characteristic block preserving outerplanar graph patterns from positive and negative data using Genetic Programming and tree representation of graph patterns 2015 ·(unknown), Tetsuhiro Miyahara, Yusuke Suzuki, Tomoyuki Uchida, Tetsuji Kuboyama, (unknown)	4
6	An Efficient Pattern Matching Algorithm for Ordered Term Tree Patterns 2015 ·IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ·Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuhiro Miyahara	2
7	Learning of Glycan Motifs Using Genetic Programming and Various Fitness Functions 2014 ·Journal of Advanced Computational Intelligence and Intelligent Informatics ·Tetsuhiro Miyahara, Tetsuji Kuboyama	8
8	Fuzzy Q-Learning with the modified fuzzy ART neural network 2007 ·Web Intelligence and Agent Systems An International Journal ·Hiroaki Ueda, (unknown), (unknown), (unknown), Keníchi Takahashi, Tetsuhiro Miyahara	3
9	Design and Fabrication of 40 Gbps-NRZ SOA-MZI All-Optical Wavelength Converters with Submicron-Width Bulk InGaAsP Active Waveguides 2007 ·IEICE Transactions on Electronics ·(unknown), Kojiro Takagi, Kazuhiko Matsumoto, Tetsuhiro Miyahara, (unknown), Satoru Nishikawa, Takeshi Aoyagi, K. Motoshima	0
10	CATEGORIZATION OF CONTINUOUS NUMERIC PERCEPTS BY MODIFIED FUZZY ART WITH Q-LEARNING 2006 ·International Journal of Pattern Recognition and Artificial Intelligence ·Hiroaki Ueda, (unknown), (unknown), Keníchi Takahashi, Tetsuhiro Miyahara	6
11	Discovery of Maximally Frequent Tag Tree Patterns with Height-Constrained Variables from Semistructured Web Documents 2005 ·Yusuke Suzuki, Tetsuhiro Miyahara, Takayoshi Shoudai, T Uchida, Yuichi Nakamura	2
12	Ordered term tree languages which are polynomial time inductively inferable from positive data 2005 ·Theoretical Computer Science ·Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuhiro Miyahara	9
13	Acquisition of a state transition graph using genetic network programming techniques 2004 ·Hiroaki Ueda, (unknown), Keisuke Takahashi, Tetsuhiro Miyahara	6
14	Extraction of tag tree patterns with contractible variables from irregular semistructured data 2003 ·Knowledge Discovery and Data Mining ·Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Keníchi Takahashi, Hiroaki Ueda	1
15	Criteria for inductive inference with mind changes and anomalies of recursive real-valued functions 2003 ·IEICE Transactions on Information and Systems ·(unknown), Kouichi Hirata, Tetsuhiro Miyahara, Setsuo Arikawa	2
16	A Highly Potent 26,27-Hexafluoro-1a,25-dihydroxyvitamin D3 on Calcification in SV40-Transformed Human Fetal Osteoblastic Cells 2002 ·Calcified Tissue International ·Tetsuhiro Miyahara, (unknown), (unknown), (unknown), T. Sakuma, Nobuo Nemoto, (unknown), Tadanobu Takamura, (unknown), Shohei Higuchi, Hitoshi Chiba, Kousuke Iba, Naoto Sawada	16
17	Stimulative Effect of Cadmium on Prostaglandin E2Production in Primary Mouse Osteoblastic Cells 2001 ·Calcified Tissue International ·Tetsuhiro Miyahara, (unknown), Masao Watanabe, Akira Okajima, (unknown), T. Sakuma, Nobuo Nemoto, Kiyoshi Takayama	30
18	Inductive Inference of Regular Term Free Languages and Its Application to Knowledge Discovery. 1999 ·European Journal of Combinatorics ·Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida, Satoshi Matsumoto	2
19	Effects of Cimicifugae rhizoma on serum calcium and phosphate levels in low calcium dietary rats and on bone mineral density in ovariectomized rats 1997 ·Phytomedicine ·(unknown), S. Kadota, (unknown), Tetsuhiro Miyahara, (unknown), (unknown), Takashi Namba	11
20	A note on iteratively working strategies in inductive inference 1990 ·Kyushu University Institutional Repository (QIR) (Kyushu University) ·(unknown), Tetsuhiro Miyahara	3

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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