Kengo Sugahara

505 total citations
56 papers, 324 citations indexed

About

Kengo Sugahara is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Statistical and Nonlinear Physics. According to data from OpenAlex, Kengo Sugahara has authored 56 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 13 papers in Electronic, Optical and Magnetic Materials and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Kengo Sugahara's work include Electromagnetic Simulation and Numerical Methods (19 papers), Magnetic Properties and Applications (13 papers) and Model Reduction and Neural Networks (11 papers). Kengo Sugahara is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (19 papers), Magnetic Properties and Applications (13 papers) and Model Reduction and Neural Networks (11 papers). Kengo Sugahara collaborates with scholars based in Japan, Germany and United States. Kengo Sugahara's co-authors include Tetsuji Matsuo, A. Kameari, Yuji Shindo, Y. Akasaka, T. Nishimura, Y. Inoue, H. Nakata, Satoshi Oida, Tatsuya Yokoyama and Shuji Tanabe and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Kengo Sugahara

51 papers receiving 311 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kengo Sugahara Japan 10 247 94 88 37 37 56 324
Ming‐C. Cheng United States 13 375 1.5× 87 0.9× 99 1.1× 17 0.5× 90 2.4× 64 469
Kazuhiro Muramatsu Japan 11 253 1.0× 111 1.2× 15 0.2× 101 2.7× 61 1.6× 53 331
R.D. Slone United States 9 251 1.0× 34 0.4× 142 1.6× 15 0.4× 90 2.4× 17 313
Zhongjian Wang China 12 269 1.1× 46 0.5× 66 0.8× 6 0.2× 47 1.3× 52 470
Eitan Abraham United Kingdom 11 166 0.7× 30 0.3× 58 0.7× 8 0.2× 185 5.0× 21 372
Yehuda Avniel United States 9 168 0.7× 34 0.4× 22 0.3× 21 0.6× 149 4.0× 13 278
Ortwin Farle Germany 12 270 1.1× 78 0.8× 194 2.2× 43 1.2× 60 1.6× 48 344
Takahiro Sugiyama Japan 8 462 1.9× 61 0.6× 20 0.2× 34 0.9× 443 12.0× 58 632
Y. Ohsawa Japan 13 372 1.5× 94 1.0× 15 0.2× 131 3.5× 248 6.7× 52 503
В. В. Афанасьев Russia 7 101 0.4× 18 0.2× 22 0.3× 15 0.4× 34 0.9× 30 171

Countries citing papers authored by Kengo Sugahara

Since Specialization
Citations

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

Fields of papers citing papers by Kengo Sugahara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kengo Sugahara

This figure shows the co-authorship network connecting the top 25 collaborators of Kengo Sugahara. A scholar is included among the top collaborators of Kengo Sugahara 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 Kengo Sugahara. Kengo Sugahara 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
1.
Matsuo, Tetsuji, Yasuhito Takahashi, & Kengo Sugahara. (2023). Reduced Representation of Spatial Harmonics for Motor Model Order Reduction Using Block Arnoldi Method. IEEE Transactions on Magnetics. 60(3). 1–4.
2.
Takahashi, Yasuhito, Koji Fujiwara, Kengo Sugahara, & Tetsuji Matsuo. (2023). Model Order Reduction of Cage Induction Motor With Skewed Rotor Slots Using Multiport Cauer Ladder Network Method. IEEE Transactions on Magnetics. 59(5). 1–4. 1 indexed citations
3.
Sugahara, Kengo. (2022). Electromagnetic Analysis of Eddy Current Testing With Kelvin Transformation. IEEE Transactions on Magnetics. 58(9). 1–6.
4.
Takahashi, Yasuhito, et al.. (2022). Reduced Order Modeling Based on Multiport Cauer Ladder Network for Space Harmonics of Air-Gap Flux Density in Cage Induction Motor. IEEE Transactions on Magnetics. 58(8). 1–6. 5 indexed citations
5.
Matsuo, Tetsuji, Kengo Sugahara, A. Kameari, & Yuji Shindo. (2020). Model Order Reduction of an Induction Motor Using a Cauer Ladder Network. IEEE Transactions on Magnetics. 56(3). 1–4. 13 indexed citations
6.
Shindo, Yuji, et al.. (2020). Equivalent Circuit in Cauer Form for Eddy Current Field Including a Translational Mover. IEEE Transactions on Magnetics. 56(12). 1–7. 3 indexed citations
7.
Matsuo, Tetsuji, Takayuki Fujiwara, Kengo Sugahara, et al.. (2020). Multi-Port Model Order Reduction Using a Matrix Cauer Ladder Network. IEEE Transactions on Magnetics. 56(2). 1–5. 9 indexed citations
8.
Sugahara, Kengo, et al.. (2020). Modal Decomposition of 3-D Quasi-Static Maxwell Equations by Cauer Ladder Network Representation. IEEE Transactions on Magnetics. 56(3). 1–4. 7 indexed citations
9.
Kameari, A., et al.. (2019). Cauer Ladder Network With Multiple Expansion Points for Efficient Model Order Reduction of Eddy-Current Field. IEEE Transactions on Magnetics. 55(6). 1–4. 8 indexed citations
10.
Itoh, Daisuke, et al.. (2019). Reduction of AM Radio Noise of a VVVF Inverter for an Electric Railway Car and a Simulation Model of Noise Current. IEEJ Transactions on Industry Applications. 139(5). 495–502. 2 indexed citations
11.
Matsuo, Tetsuji, A. Kameari, Kengo Sugahara, & Yuji Shindo. (2018). Matrix Formulation of the Cauer Ladder Network Method for Efficient Eddy-Current Analysis. IEEE Transactions on Magnetics. 54(11). 1–5. 12 indexed citations
12.
Kameari, A., et al.. (2017). Cauer Ladder Network Representation of Eddy-Current Fields for Model Order Reduction Using Finite-Element Method. IEEE Transactions on Magnetics. 54(3). 1–4. 46 indexed citations
13.
Sugahara, Kengo. (2017). Improvised Asymptotic Boundary Conditions for Magnetostatic Field Problems in Ellipsoidal and Elliptic Cylindrical Domains. IEEE Transactions on Magnetics. 53(6). 1–4. 3 indexed citations
14.
Sugahara, Kengo, et al.. (2017). Finite-Element Analysis of Unbounded Eddy-Current Problems Using Cauer Ladder Network Method. IEEE Transactions on Magnetics. 54(3). 1–4. 5 indexed citations
15.
Itoh, Daisuke, et al.. (2009). Reduction of Return Current Noise Using Double-Series Resonant Filter. IEEJ Transactions on Industry Applications. 129(4). 399–405. 2 indexed citations
16.
Yamakawa, Satoshi, T. Murakami, Akihiko Furukawa, et al.. (2003). A 0.8-dB insertion-loss, 17.4-dBm power-handling, 5-GHz transmit/receive switch with DETs in a 0.18-μm CMOS process. IEEE Electron Device Letters. 24(3). 192–194. 5 indexed citations
17.
Ajika, N., Hirokazu Hayashi, Hiroshi Takada, et al.. (2002). 1.5 V operation sector-erasable flash memory with BIpolar Transistor Selected (BITS) P-channel cells. 14–15. 2 indexed citations
18.
19.
Sugahara, Kengo, et al.. (1987). A CMOS A/D Converter on Laser Recrystallized SOI with Controlling the Crystal Growth Direction. Symposium on VLSI Technology. 107–108. 3 indexed citations
20.
Nishimura, T., Y. Inoue, Kengo Sugahara, et al.. (1985). A Three Dimensional Static RAM. Symposium on VLSI Technology. 30–31. 2 indexed citations

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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2026