Tamiko Ohshima

144 total papers · 1.9k total citations
83 papers, 1.7k citations indexed

About

Tamiko Ohshima is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Tamiko Ohshima has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Materials Chemistry, 52 papers in Electrical and Electronic Engineering and 27 papers in Mechanics of Materials. Recurrent topics in Tamiko Ohshima's work include ZnO doping and properties (30 papers), Gas Sensing Nanomaterials and Sensors (24 papers) and Metal and Thin Film Mechanics (17 papers). Tamiko Ohshima is often cited by papers focused on ZnO doping and properties (30 papers), Gas Sensing Nanomaterials and Sensors (24 papers) and Metal and Thin Film Mechanics (17 papers). Tamiko Ohshima collaborates with scholars based in Japan, India and United States. Tamiko Ohshima's co-authors include Hiroharu Kawasaki, Yoshiaki Suda, Tsuyoshi Ueda, Hiroyuki Nishinaka, Yoshihiro Kamada, Jianguo Lü, Toshiyuki Kawaharamura, Yoshihito Yagyu, Kenji Ebihara and Tomoaki Ikegami and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Tamiko Ohshima

77 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Tamiko Ohshima 1.3k 993 358 286 206 83 1.7k
A. Goullet 952 0.7× 994 1.0× 355 1.0× 177 0.6× 339 1.6× 88 1.6k
S.M.A. Durrani 1.1k 0.9× 1.2k 1.2× 245 0.7× 314 1.1× 99 0.5× 76 1.9k
Pierre‐Yves Tessier 1.2k 0.9× 765 0.8× 339 0.9× 221 0.8× 494 2.4× 90 1.8k
Arup R. Pal 628 0.5× 680 0.7× 252 0.7× 157 0.5× 206 1.0× 86 1.4k
G. Baud 999 0.8× 553 0.6× 291 0.8× 140 0.5× 210 1.0× 62 1.5k
N. Laidani 1.0k 0.8× 656 0.7× 145 0.4× 275 1.0× 428 2.1× 103 1.6k
Shaohui Xu 519 0.4× 1.1k 1.1× 554 1.5× 427 1.5× 96 0.5× 116 1.6k
Alberto Palmero 866 0.7× 874 0.9× 292 0.8× 161 0.6× 533 2.6× 72 1.9k
Manuel Macías‐Montero 700 0.5× 496 0.5× 209 0.6× 164 0.6× 115 0.6× 49 1.3k
V. D. Vankar 1.6k 1.2× 764 0.8× 209 0.6× 366 1.3× 385 1.9× 129 2.1k

Countries citing papers authored by Tamiko Ohshima

Since Specialization
Citations

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

Fields of papers citing papers by Tamiko Ohshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamiko Ohshima

This figure shows the co-authorship network connecting the top 25 collaborators of Tamiko Ohshima. A scholar is included among the top collaborators of Tamiko Ohshima 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 Tamiko Ohshima. Tamiko Ohshima 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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