T. Hayashi

72 total papers · 654 total citations
35 papers, 469 citations indexed

About

T. Hayashi is a scholar working on Electrical and Electronic Engineering, Bioengineering and Biomedical Engineering. According to data from OpenAlex, T. Hayashi has authored 35 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Bioengineering and 10 papers in Biomedical Engineering. Recurrent topics in T. Hayashi's work include Analytical Chemistry and Sensors (10 papers), Advanced Sensor Technologies Research (6 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). T. Hayashi is often cited by papers focused on Analytical Chemistry and Sensors (10 papers), Advanced Sensor Technologies Research (6 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). T. Hayashi collaborates with scholars based in United States and Japan. T. Hayashi's co-authors include Hirotaka Sakaue, Yutaka Fukumoto, Takuro Matsunaga, Hitoshi Ishikawa, Z. Hussain, Yoshiyasu Saito, Shoko Ono, K. T. Leung, Osamu Matsuoka and Tadashi Ishida and has published in prestigious journals such as Nature, Physical review. B, Condensed matter and Journal of Applied Physics.

In The Last Decade

T. Hayashi

33 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
T. Hayashi	255	103	86	85	72	35	469
Boyu Yuan	293 1.1×	42 0.4×	52 0.6×	195 2.3×	23 0.3×	45	536
Jincheng Lei	251 1.0×	105 1.0×	58 0.7×	139 1.6×	17 0.2×	44	440
Sijie Wang	211 0.8×	121 1.2×	28 0.3×	108 1.3×	27 0.4×	35	442
Takahiro Maeda	281 1.1×	85 0.8×	19 0.2×	198 2.3×	54 0.8×	37	518
Fabien Amiot	112 0.4×	95 0.9×	24 0.3×	96 1.1×	21 0.3×	30	441
Wen-Yang Chang	212 0.8×	256 2.5×	21 0.2×	141 1.7×	32 0.4×	39	502
Jae‐Wook Jung	127 0.5×	127 1.2×	14 0.2×	102 1.2×	25 0.3×	38	506
Takayuki Uchiyama	364 1.4×	114 1.1×	70 0.8×	138 1.6×	9 0.1×	45	485
Ping Du	123 0.5×	177 1.7×	19 0.2×	171 2.0×	29 0.4×	47	483
C. M. S. Vicente	129 0.5×	107 1.0×	196 2.3×	83 1.0×	15 0.2×	36	447

Countries citing papers authored by T. Hayashi

Since Specialization

Citations

This map shows the geographic impact of T. Hayashi'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 T. Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hayashi more than expected).

Fields of papers citing papers by T. Hayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Hayashi

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