Takeshi Mitani

108 total papers · 943 total citations
64 papers, 769 citations indexed

About

Takeshi Mitani is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Takeshi Mitani has authored 64 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 24 papers in Materials Chemistry and 13 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Takeshi Mitani's work include Silicon Carbide Semiconductor Technologies (44 papers), Semiconductor materials and devices (20 papers) and Thin-Film Transistor Technologies (16 papers). Takeshi Mitani is often cited by papers focused on Silicon Carbide Semiconductor Technologies (44 papers), Semiconductor materials and devices (20 papers) and Thin-Film Transistor Technologies (16 papers). Takeshi Mitani collaborates with scholars based in Japan, United States and Azerbaijan. Takeshi Mitani's co-authors include Hajime Okumura, Tomohisa Kato, Naoyoshi Komatsu, Tomoyuki Takahashi, S. Nakashima, Yuji Matsumoto, Koji Matsumoto, Toru Ujihara, K. Kurashige and Taketsugu Yamamoto and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

In The Last Decade

Takeshi Mitani

61 papers receiving 746 citations

Author Peers

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

Author						Papers	Cites
Takeshi Mitani	582	247	156	148	108	64	769
M.R.B. Andreeta	330 0.6×	445 1.8×	90 0.6×	199 1.3×	77 0.7×	62	699
Shin‐ichi Shirasaki	313 0.5×	561 2.3×	125 0.8×	212 1.4×	81 0.8×	58	699
Dorothy Lukco	631 1.1×	227 0.9×	70 0.4×	66 0.4×	153 1.4×	58	826
Kazuhito Kamei	612 1.1×	205 0.8×	118 0.8×	233 1.6×	75 0.7×	54	800
Shoichi Onda	642 1.1×	167 0.7×	108 0.7×	106 0.7×	82 0.8×	40	757
Hirokatsu Yashiro	617 1.1×	87 0.4×	143 0.9×	140 0.9×	75 0.7×	49	695
Jean Camassel	627 1.1×	341 1.4×	139 0.9×	55 0.4×	97 0.9×	107	854
Marco Mauceri	818 1.4×	150 0.6×	251 1.6×	89 0.6×	45 0.4×	75	903
Hiroyuki Yamamoto	294 0.5×	367 1.5×	130 0.8×	69 0.5×	65 0.6×	69	782
Valdas Jokubavičius	532 0.9×	401 1.6×	208 1.3×	55 0.4×	70 0.6×	61	741

Countries citing papers authored by Takeshi Mitani

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Mitani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Mitani

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