Kazuto Sakai

66 papers receiving 679 citations

Peers

Kazuto Sakai
Comparison fields: 5 of 30
  • Electrical and Electronic Engineering 650
  • Control and Systems Engineering 441
  • Electronic, Optical and Magnetic Materials 180
  • Mechanical Engineering 93
  • Biomedical Engineering 39
Replace Hossein Dadkhah with:
Hossein Dadkhah United States
P. Farah United Kingdom
Jong-Moo Kim South Korea
Surong Huang China
Cheewoo Lee South Korea
Mehmet Güleç Türkiye
Yoshiaki Kano Japan
J.D. Ede United Kingdom
Diego Serrano Spain
W. Fei United Kingdom
Kazuto Sakai relative to Hossein Dadkhah United States Hossein Dadkhah's profile →
Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 7
4
Equivalent Circuit Analysis of an Ultra-Lightweight Motor Designed with Magnetic Resonance Coupling
8
5 19
6
Reduction of torque ripple for PM motor with toroidal winding
4
7
Reduction of torque ripple by an integrated induction motor with multi-inverter
1
8 2
9 1
10 2
11
Electronic motors capable of pole-changing and variable machine constants
13
12 20
13 14
14 30
15 4
16 17
17 9
18
Magnetic Field Analysis of a Super-High-Speed Permanent Magnet Motor with a New Rotor
2
19 1
20 1

About Kazuto Sakai

Kazuto Sakai is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 70 papers that have together received 687 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (61 papers), Magnetic Bearings and Levitation Dynamics (42 papers) and Sensorless Control of Electric Motors (19 papers). The work is most often cited by research in Control and Systems Engineering (441 citations), Electrical and Electronic Engineering (650 citations) and Electronic, Optical and Magnetic Materials (180 citations). Kazuto Sakai has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include Kazuaki Yuki, Norio Takahashi, Satoru Kuramochi, R. D. Lorenz, N. Takahashi, Masaki Suzuki, Apoorva Athavale, Kan Akatsu, David Reigosa and Yuichi Izumi. Their work appears in journals such as Applied and Environmental Microbiology, The International Journal of Periodontics & Restorative Dentistry and IEEJ Transactions on Industry Applications.

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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