Kentaro Kutsukake

1.7k total citations
121 papers, 1.3k citations indexed

About

Kentaro Kutsukake is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kentaro Kutsukake has authored 121 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Electrical and Electronic Engineering, 56 papers in Materials Chemistry and 33 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kentaro Kutsukake's work include Silicon and Solar Cell Technologies (70 papers), Thin-Film Transistor Technologies (53 papers) and Semiconductor materials and interfaces (22 papers). Kentaro Kutsukake is often cited by papers focused on Silicon and Solar Cell Technologies (70 papers), Thin-Film Transistor Technologies (53 papers) and Semiconductor materials and interfaces (22 papers). Kentaro Kutsukake collaborates with scholars based in Japan, United States and United Kingdom. Kentaro Kutsukake's co-authors include Noritaka Usami, Kazuo Nakajima, Kozo Fujiwara, Ichiro Yonenaga, Yutaka Ohno, Kohei Morishita, Isao Takahashi, Yuki Tokumoto, K. Nakajima and Toru Ujihara and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Kentaro Kutsukake

112 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kentaro Kutsukake Japan 20 924 715 313 203 86 121 1.3k
Alexandre Boyer France 24 1.3k 1.4× 871 1.2× 231 0.7× 212 1.0× 96 1.1× 111 1.8k
Glenn M. Beheim United States 22 1.2k 1.3× 209 0.3× 274 0.9× 278 1.4× 147 1.7× 99 1.5k
R. K. Sharma India 12 981 1.1× 1.2k 1.6× 101 0.3× 162 0.8× 33 0.4× 55 1.7k
Kaike Yang China 18 283 0.3× 1.0k 1.4× 155 0.5× 79 0.4× 99 1.2× 47 1.3k
Yu. G. Gurevich Mexico 19 364 0.4× 543 0.8× 281 0.9× 132 0.7× 73 0.8× 117 1.1k
X. Jordà Spain 20 1.6k 1.7× 258 0.4× 235 0.8× 161 0.8× 300 3.5× 175 1.9k
Qiming Wang China 18 831 0.9× 171 0.2× 328 1.0× 259 1.3× 47 0.5× 111 1.1k
Fei Lu China 15 694 0.8× 321 0.4× 616 2.0× 107 0.5× 33 0.4× 153 1.0k
Stéphane Holé France 18 754 0.8× 737 1.0× 84 0.3× 310 1.5× 159 1.8× 116 1.3k
Tsuyoshi Takahashi Japan 22 1.4k 1.5× 158 0.2× 453 1.4× 215 1.1× 92 1.1× 167 1.7k

Countries citing papers authored by Kentaro Kutsukake

Since Specialization
Citations

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

Fields of papers citing papers by Kentaro Kutsukake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kentaro Kutsukake

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

All Works

20 of 20 papers shown
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Kutsukake, Kentaro, et al.. (2024). Stress analysis and dislocation cluster generation in silicon crystal with artificial grain boundaries. Journal of Crystal Growth. 649. 127922–127922. 1 indexed citations
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Sreeja, B. S., et al.. (2024). Exploring mc‐Silicon Wafers: Utilizing Machine Learning to Enhance Wafer Quality Through Etching Studies. Crystal Research and Technology. 59(4). 1 indexed citations
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Nakanishi, Yuki, et al.. (2024). Analysis of Macrostep Interaction via Carbon Diffusion Field in SiC Solution Growth. Journal of Crystal Growth. 631. 127609–127609. 2 indexed citations
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Kutsukake, Kentaro, et al.. (2024). High Passivation Performance of Cat-CVD i-a-Si:H Derived from Bayesian Optimization with Practical Constraints. ACS Applied Materials & Interfaces. 16(7). 9428–9435. 3 indexed citations
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Zhu, Can, et al.. (2023). Modeling-Based Design of the Control Pattern for Uniform Macrostep Morphology in Solution Growth of SiC. Crystal Growth & Design. 23(2). 1023–1032. 14 indexed citations
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Kutsukake, Kentaro, et al.. (2023). A machine learning-based prediction of crystal orientations for multicrystalline materials. SHILAP Revista de lepidopterología. 1(2). 6 indexed citations
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Kutsukake, Kentaro, et al.. (2023). Machine Learning for Semiconductor Process Simulation Described by Coupled Partial Differential Equations. Advanced Theory and Simulations. 6(9). 3 indexed citations
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Kutsukake, Kentaro, et al.. (2022). Analysis of grain growth behavior of multicrystalline Mg2Si. Japanese Journal of Applied Physics. 62(SD). SD1002–SD1002. 6 indexed citations
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Gotoh, Kazuhiro, et al.. (2021). Application of Bayesian optimization for improved passivation performance in TiO x /SiO y /c-Si heterostructure by hydrogen plasma treatment. Applied Physics Express. 14(2). 25503–25503. 18 indexed citations
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Yonenaga, Ichiro & Kentaro Kutsukake. (2020). Transmission behavior of dislocations against Σ3 twin boundaries in Si. Journal of Applied Physics. 127(7). 12 indexed citations
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Kato, Hikaru, et al.. (2020). Crystallographic orientation prediction of multicrystalline silicon substrate using machine learning. IEICE Technical Report; IEICE Tech. Rep.. 119(454). 81–84. 1 indexed citations
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Kudo, Hiroaki, Tetsuya Matsumoto, Kentaro Kutsukake, & Noritaka Usami. (2019). Estimation of dislocation regions in multicrystalline silicon photoluminescence image by transfer learning with convolutional neural network. IEICE Technical Report; IEICE Tech. Rep.. 118(500). 257–262. 1 indexed citations
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Ohkubo, Yasushi, Momoko Deura, Yuki Tokumoto, et al.. (2014). Hardness and Young's modulus of InN. 114(338). 45–48. 1 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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