Shinya Nakano

60 total papers · 553 total citations
33 papers, 389 citations indexed

About

Shinya Nakano is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Shinya Nakano has authored 33 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 13 papers in Materials Chemistry and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Shinya Nakano's work include Silicon and Solar Cell Technologies (11 papers), Thin-Film Transistor Technologies (9 papers) and Silicon Nanostructures and Photoluminescence (7 papers). Shinya Nakano is often cited by papers focused on Silicon and Solar Cell Technologies (11 papers), Thin-Film Transistor Technologies (9 papers) and Silicon Nanostructures and Photoluminescence (7 papers). Shinya Nakano collaborates with scholars based in Japan, Czechia and United Kingdom. Shinya Nakano's co-authors include Rio Kita‬, Kenichi Hatanaka, Shin Yagihara, Naoki Shinyashiki, Masaru Yoneyama, Yukiteru Katsumoto, Masashi Mizukami, Kazue Kurihara, H. Okamoto and Toshihiko Toyama and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Applied Physics and The Journal of Physical Chemistry B.

In The Last Decade

Shinya Nakano

32 papers receiving 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shinya Nakano 141 109 71 70 66 33 389
M. Broglia 73 0.5× 61 0.6× 36 0.5× 89 1.3× 114 1.7× 23 377
Kamlesh Suthar 107 0.8× 60 0.6× 117 1.6× 111 1.6× 130 2.0× 33 406
Sebastian Rauch 63 0.4× 96 0.9× 35 0.5× 85 1.2× 86 1.3× 20 380
Harpreet Kaur 74 0.5× 74 0.7× 46 0.6× 25 0.4× 142 2.2× 39 352
Niels Boon 168 1.2× 96 0.9× 87 1.2× 70 1.0× 179 2.7× 20 428
K. A. Dembo 109 0.8× 41 0.4× 40 0.6× 65 0.9× 87 1.3× 40 339
Thorsteinn Adalsteinsson 70 0.5× 57 0.5× 25 0.4× 66 0.9× 60 0.9× 16 373
Saurabh Singh 95 0.7× 78 0.7× 22 0.3× 36 0.5× 98 1.5× 19 377
Anastasia Meristoudi 117 0.8× 48 0.4× 39 0.5× 116 1.7× 82 1.2× 28 363
Pascal Griesmar 200 1.4× 96 0.9× 32 0.5× 43 0.6× 89 1.3× 32 444

Countries citing papers authored by Shinya Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Nakano

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

All Works

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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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