Hideki Sasaki

78 total papers · 1.1k total citations
40 papers, 670 citations indexed

About

Hideki Sasaki is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hideki Sasaki has authored 40 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 8 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hideki Sasaki's work include Advancements in Battery Materials (5 papers), Electromagnetic Compatibility and Noise Suppression (4 papers) and Advanced Battery Materials and Technologies (4 papers). Hideki Sasaki is often cited by papers focused on Advancements in Battery Materials (5 papers), Electromagnetic Compatibility and Noise Suppression (4 papers) and Advanced Battery Materials and Technologies (4 papers). Hideki Sasaki collaborates with scholars based in Japan, United States and Ukraine. Hideki Sasaki's co-authors include Shigeo Kondô, Kazunori Takada, Mamoru Watanabe, Taro Inada, Akihisa Kajiyama, Hidenori Nakamura, Masahiro Murayama, Ryoji Kanno, Hiroshi Fukui and Satoru Sonoke and has published in prestigious journals such as Nature Methods, Journal of The Electrochemical Society and Biochemical and Biophysical Research Communications.

In The Last Decade

Hideki Sasaki

34 papers receiving 644 citations

Author Peers

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

Author						Papers	Cites
Hideki Sasaki	257	100	95	89	73	40	670
Martin A.B. Hedegaard	31 0.1×	26 0.3×	207 2.2×	318 3.6×	36 0.5×	37	716
Yiwei Shi	179 0.7×	33 0.3×	155 1.6×	14 0.2×	37 0.5×	88	693
Ji‐Hoon Lee	89 0.3×	15 0.1×	63 0.7×	7 0.1×	38 0.5×	43	574
Shiyun Zhang	245 1.0×	42 0.4×	74 0.8×	62 0.7×	145 2.0×	53	635
Gaeun Kim	154 0.6×	64 0.6×	181 1.9×	10 0.1×	117 1.6×	35	604
Lü Huang	63 0.2×	38 0.4×	193 2.0×	43 0.5×	110 1.5×	39	777
Laurent Barbe	31 0.1×	26 0.3×	190 2.0×	29 0.3×	21 0.3×	38	720
Tao Tang	144 0.6×	6 0.1×	148 1.6×	37 0.4×	29 0.4×	65	787
K. Shinohara	88 0.3×	24 0.2×	123 1.3×	13 0.1×	74 1.0×	54	654
Aeri Lee	126 0.5×	44 0.4×	228 2.4×	4 0.0×	68 0.9×	34	723

Countries citing papers authored by Hideki Sasaki

Since Specialization

Citations

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

Fields of papers citing papers by Hideki Sasaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Sasaki

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