Keiichi Sueda

98 total papers · 1.1k total citations
40 papers, 603 citations indexed

About

Keiichi Sueda is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Keiichi Sueda has authored 40 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atomic and Molecular Physics, and Optics, 14 papers in Electrical and Electronic Engineering and 14 papers in Nuclear and High Energy Physics. Recurrent topics in Keiichi Sueda's work include Laser-Matter Interactions and Applications (18 papers), Laser-Plasma Interactions and Diagnostics (14 papers) and Advanced Fiber Laser Technologies (9 papers). Keiichi Sueda is often cited by papers focused on Laser-Matter Interactions and Applications (18 papers), Laser-Plasma Interactions and Diagnostics (14 papers) and Advanced Fiber Laser Technologies (9 papers). Keiichi Sueda collaborates with scholars based in Japan, China and Taiwan. Keiichi Sueda's co-authors include N. Miyanaga, Godai Miyaji, M. Nakatsuka, Koji Tsubakimoto, Sakae Kawato, T. Kobayashi, Takashi Kurita, Ryosuke Kodama, T. Yabuuchi and Hiromi Takahashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and The Journal of Physical Chemistry B.

In The Last Decade

Keiichi Sueda

36 papers receiving 570 citations

Author Peers

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

Author						Papers	Cites
Keiichi Sueda	476	188	173	120	87	40	603
D. Weiner	433 0.9×	208 1.1×	71 0.4×	176 1.5×	52 0.6×	32	657
Chuanke Wang	257 0.5×	142 0.8×	142 0.8×	119 1.0×	70 0.8×	52	502
J. C. Woo	354 0.7×	291 1.5×	103 0.6×	32 0.3×	40 0.5×	43	620
Leifeng Cao	342 0.7×	140 0.7×	179 1.0×	215 1.8×	61 0.7×	83	601
G. Kurdi	421 0.9×	284 1.5×	77 0.4×	157 1.3×	28 0.3×	52	606
Philip C. D. Hobbs	270 0.6×	348 1.9×	176 1.0×	33 0.3×	43 0.5×	33	688
Riccardo Mincigrucci	326 0.7×	270 1.4×	95 0.5×	81 0.7×	34 0.4×	63	629
S. E. Segrè	180 0.4×	169 0.9×	107 0.6×	411 3.4×	32 0.4×	73	655
Charles Varin	496 1.0×	96 0.5×	103 0.6×	283 2.4×	35 0.4×	28	625
P. L. Taylor	212 0.4×	105 0.6×	81 0.5×	139 1.2×	63 0.7×	38	616

Countries citing papers authored by Keiichi Sueda

Since Specialization

Citations

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

Fields of papers citing papers by Keiichi Sueda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Sueda

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