Kenya Goto

118 total papers · 704 total citations
51 papers, 510 citations indexed

About

Kenya Goto is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Kenya Goto has authored 51 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 29 papers in Biomedical Engineering and 14 papers in Surfaces, Coatings and Films. Recurrent topics in Kenya Goto's work include Near-Field Optical Microscopy (26 papers), Semiconductor Lasers and Optical Devices (20 papers) and Optical Coatings and Gratings (14 papers). Kenya Goto is often cited by papers focused on Near-Field Optical Microscopy (26 papers), Semiconductor Lasers and Optical Devices (20 papers) and Optical Coatings and Gratings (14 papers). Kenya Goto collaborates with scholars based in Japan, United States and South Korea. Kenya Goto's co-authors include P. D. Goldan, Young-Joo Kim, G. Hatakoshi, J. S. Wells, D. A. Jennings, K. M. Evenson, F. R. Petersen, J. J. Jiménez, Satoshi Mitsugi and Kazuhiro Suzuki and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Nanotechnology.

In The Last Decade

Kenya Goto

42 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
Kenya Goto	331	251	221	112	108	51	510
S. Pocas	516 1.6×	98 0.4×	283 1.3×	53 0.5×	81 0.8×	34	563
W. Stickel	316 1.0×	118 0.5×	141 0.6×	25 0.2×	255 2.4×	37	483
Katsuji Nakagawa	327 1.0×	103 0.4×	345 1.6×	66 0.6×	31 0.3×	82	519
R. Kakoschke	365 1.1×	80 0.3×	106 0.5×	50 0.4×	46 0.4×	31	485
André Müller	431 1.3×	80 0.3×	251 1.1×	108 1.0×	36 0.3×	65	602
V.C. Elarde	443 1.3×	111 0.4×	253 1.1×	35 0.3×	23 0.2×	59	580
Tsutomu Ishi	372 1.1×	399 1.6×	194 0.9×	58 0.5×	136 1.3×	36	616
R. E. Balderas‐Navarro	249 0.8×	87 0.3×	352 1.6×	32 0.3×	76 0.7×	76	533
Mani Sundaram	365 1.1×	170 0.7×	323 1.5×	68 0.6×	38 0.4×	34	556
Anna Szerling	360 1.1×	43 0.2×	186 0.8×	233 2.1×	52 0.5×	72	479

Countries citing papers authored by Kenya Goto

Since Specialization

Citations

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

Fields of papers citing papers by Kenya Goto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenya Goto

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