Haruhiko Sato

1.1k total citations
19 papers, 103 citations indexed

About

Haruhiko Sato is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Haruhiko Sato has authored 19 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 3 papers in Signal Processing. Recurrent topics in Haruhiko Sato's work include Formal Methods in Verification (6 papers), Logic, programming, and type systems (5 papers) and Text and Document Classification Technologies (3 papers). Haruhiko Sato is often cited by papers focused on Formal Methods in Verification (6 papers), Logic, programming, and type systems (5 papers) and Text and Document Classification Technologies (3 papers). Haruhiko Sato collaborates with scholars based in Japan, Austria and Australia. Haruhiko Sato's co-authors include Masahito Kurihara, Satoshi Oyama, Lei Duan, Masahiro Suzuki, Aart Middeldorp, Naoto Kamata, Te Sun Han, Hao Liu, Hao Liu and Shoichi Yokoyama and has published in prestigious journals such as IEEE Transactions on Information Theory, Expert Systems with Applications and Neurosurgery.

In The Last Decade

Haruhiko Sato

17 papers receiving 97 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haruhiko Sato Japan 4 52 33 29 13 10 19 103
Nicolas Labroche France 6 74 1.4× 29 0.9× 7 0.2× 18 1.4× 4 0.4× 15 92
Félix Castro Spain 6 35 0.7× 6 0.2× 37 1.3× 31 2.4× 4 0.4× 16 75
Mohamed Farouk Abdel Hady Germany 6 116 2.2× 47 1.4× 3 0.1× 5 0.4× 10 1.0× 12 139
Achyudh Ram Netherlands 5 69 1.3× 14 0.4× 14 0.5× 45 3.5× 3 0.3× 9 119
S. Goldberg United States 6 68 1.3× 11 0.3× 8 0.3× 16 1.2× 3 0.3× 9 85
Christos Louizos Netherlands 5 119 2.3× 51 1.5× 4 0.1× 12 0.9× 2 0.2× 12 145
Alfredo Petrosino Italy 6 14 0.3× 33 1.0× 5 0.2× 12 0.9× 5 0.5× 14 64
Shuichi Katsumata Japan 7 109 2.1× 20 0.6× 6 0.2× 30 2.3× 12 1.2× 15 123
Fabrice Muhlenbach France 6 98 1.9× 38 1.2× 2 0.1× 12 0.9× 6 0.6× 14 141
Przemysław Uznański Poland 6 25 0.5× 7 0.2× 8 0.3× 8 0.6× 29 2.9× 21 106

Countries citing papers authored by Haruhiko Sato

Since Specialization
Citations

This map shows the geographic impact of Haruhiko Sato'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 Haruhiko Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruhiko Sato more than expected).

Fields of papers citing papers by Haruhiko Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haruhiko Sato. 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 Haruhiko Sato. The network helps show where Haruhiko Sato may publish in the future.

Co-authorship network of co-authors of Haruhiko Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Haruhiko Sato. A scholar is included among the top collaborators of Haruhiko Sato 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 Haruhiko Sato. Haruhiko Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Davis, Gavin A, Robert C. Cantu, Geoffrey A. Manley, & Haruhiko Sato. (2023). Neurosurgery and Sport-Related Concussion at the Amsterdam Consensus Meeting. Neurosurgery. 94(5). 886–892. 1 indexed citations
2.
Sato, Haruhiko & Masahito Kurihara. (2016). Discovering inductive theorems using rewriting induction. 2706. 989–993.
3.
Sato, Haruhiko, et al.. (2016). Fine-tuning deep convolutional neural networks for distinguishing illustrations from photographs. Expert Systems with Applications. 66. 295–301. 35 indexed citations
4.
Duan, Lei, Satoshi Oyama, Masahito Kurihara, & Haruhiko Sato. (2015). Crowdsourced semantic matching of multi-label annotations. International Conference on Artificial Intelligence. 3483–3489. 6 indexed citations
5.
Duan, Lei, Satoshi Oyama, Haruhiko Sato, & Masahito Kurihara. (2015). Multi-Emotion Estimation in Narratives from Crowdsourced Annotations. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 51. 91–100. 3 indexed citations
6.
Sato, Haruhiko, et al.. (2014). Automated Test Generation for Object-Oriented Programs with Multiple Targets. 41(3). 198–203. 2 indexed citations
7.
Suzuki, Masahiro, et al.. (2014). Monophonic sound source separation by non-negative sparse autoencoders. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 11. 3623–3626. 2 indexed citations
8.
Takemoto, Satoru, et al.. (2014). Quantitative real-time PCR (qPCR) – Based tool for detection and quantification of Cordyceps militaris in soil. Journal of Invertebrate Pathology. 124. 70–72. 3 indexed citations
9.
Duan, Lei, Satoshi Oyama, Haruhiko Sato, & Masahito Kurihara. (2014). Separate or joint? Estimation of multiple labels from crowdsourced annotations. Expert Systems with Applications. 41(13). 5723–5732. 27 indexed citations
10.
Suzuki, Masahiro, Haruhiko Sato, Satoshi Oyama, & Masahito Kurihara. (2014). Transfer learning based on the observation probability of each attribute. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 3627–3631. 6 indexed citations
11.
Liu, Hao, Satoshi Oyama, Masahito Kurihara, & Haruhiko Sato. (2013). Landmark FN-DBSCAN: An Efficient Density-Based Clustering Algorithm with Fuzzy Neighborhood. Journal of Advanced Computational Intelligence and Intelligent Informatics. 17(1). 60–73. 2 indexed citations
12.
Liu, Hao, Haruhiko Sato, Satoshi Oyama, & Masahito Kurihara. (2012). A robust energy artificial neuron based incremental self-organizing neural network with a dynamic structure. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 23. 1806–1811. 2 indexed citations
13.
Sato, Haruhiko, et al.. (2012). Multi-Completion with Termination Tools. Journal of Automated Reasoning. 50(3). 317–354. 3 indexed citations
14.
Sato, Haruhiko, et al.. (2010). OPTIMIZING MKBTT (SY STEM DESCRIPTION). 1 indexed citations
15.
Sato, Haruhiko & Masahito Kurihara. (2010). Multi-Context Rewriting Induction with Termination Checkers. IEICE Transactions on Information and Systems. E93-D(5). 942–952. 2 indexed citations
16.
Sato, Haruhiko, et al.. (2009). Constraint-Based Multi-Completion Procedures for Term Rewriting Systems. IEICE Transactions on Information and Systems. E92-D(2). 220–234. 3 indexed citations
17.
Yokoyama, Shoichi, Haruhiko Sato, & Masahito Kurihara. (2009). User-friendly GUI in software model checking. 468–473. 2 indexed citations
18.
Nishinaga, Nozomu, Kenji Tanaka, Yuichi Yamamoto, et al.. (2006). Enabling a Multilateral Distance Class between China, Korea and Japan: Effective Utilization of Networking Technologies. 383–386. 1 indexed citations
19.
Han, Te Sun & Haruhiko Sato. (1991). Feedback codes with uniformly bounded codeword lengths and zero-error capacities. IEEE Transactions on Information Theory. 37(3). 655–660. 2 indexed citations

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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