Kazuto Sakai

84 total papers · 781 total citations
70 papers, 687 citations indexed

About

Kazuto Sakai is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Kazuto Sakai has authored 70 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 42 papers in Control and Systems Engineering and 13 papers in Mechanical Engineering. Recurrent topics in Kazuto Sakai's work include Electric Motor Design and Analysis (61 papers), Magnetic Bearings and Levitation Dynamics (42 papers) and Sensorless Control of Electric Motors (19 papers). Kazuto Sakai is often cited by papers focused on Electric Motor Design and Analysis (61 papers), Magnetic Bearings and Levitation Dynamics (42 papers) and Sensorless Control of Electric Motors (19 papers). Kazuto Sakai collaborates with scholars based in Japan, United States and Spain. Kazuto Sakai's co-authors include Kazuaki Yuki, Norio Takahashi, N. Takahashi, Masaki Suzuki, Apoorva Athavale, David Reigosa, Kan Akatsu, R. D. Lorenz, Yuichi Izumi and S. Kataoka and has published in prestigious journals such as Applied and Environmental Microbiology, The International Journal of Periodontics & Restorative Dentistry and IEEJ Transactions on Industry Applications.

In The Last Decade

Kazuto Sakai

66 papers receiving 679 citations

Author Peers

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

Author						Papers	Cites
Kazuto Sakai	648	441	180	93	39	70	687
Xiang Ren	693 1.1×	472 1.1×	235 1.3×	148 1.6×	32 0.8×	57	761
Yoji Takeda	547 0.8×	383 0.9×	133 0.7×	117 1.3×	15 0.4×	83	638
Ryoichi Hanaoka	514 0.8×	201 0.5×	70 0.4×	48 0.5×	70 1.8×	105	675
Daniel Roger	591 0.9×	237 0.5×	184 1.0×	277 3.0×	22 0.6×	68	722
Mingqiao Wang	505 0.8×	298 0.7×	191 1.1×	106 1.1×	28 0.7×	54	554
Ebrahim Amiri	555 0.9×	386 0.9×	197 1.1×	107 1.2×	23 0.6×	76	593
Libing Jing	664 1.0×	539 1.2×	343 1.9×	160 1.7×	50 1.3×	74	730
Xinghe Fu	610 0.9×	451 1.0×	186 1.0×	102 1.1×	46 1.2×	55	682
Yanfang Hu	659 1.0×	389 0.9×	227 1.3×	192 2.1×	39 1.0×	34	715
A. Di Gerlando	671 1.0×	452 1.0×	292 1.6×	157 1.7×	49 1.3×	83	720

Countries citing papers authored by Kazuto Sakai

Since Specialization

Citations

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

Fields of papers citing papers by Kazuto Sakai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuto Sakai

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