Hisahide Nakamura

889 total citations
49 papers, 687 citations indexed

About

Hisahide Nakamura is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Hisahide Nakamura has authored 49 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 31 papers in Mechanical Engineering and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Hisahide Nakamura's work include Machine Fault Diagnosis Techniques (34 papers), Gear and Bearing Dynamics Analysis (17 papers) and Non-Destructive Testing Techniques (15 papers). Hisahide Nakamura is often cited by papers focused on Machine Fault Diagnosis Techniques (34 papers), Gear and Bearing Dynamics Analysis (17 papers) and Non-Destructive Testing Techniques (15 papers). Hisahide Nakamura collaborates with scholars based in Japan and United States. Hisahide Nakamura's co-authors include Yukio Mizuno, Shrinathan Esakimuthu Pandarakone, Tatsuya Suzuki, Koichi Ito, Shinkichi Inagaki, K. Suzuki, Kenichi Yatsugi, Y. Yamamoto, Kan Sakamoto and Ken‐ichiro Suehara and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

In The Last Decade

Hisahide Nakamura

46 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hisahide Nakamura Japan 13 456 300 261 130 75 49 687
Ezio Bassi Italy 10 384 0.8× 312 1.0× 201 0.8× 62 0.5× 26 0.3× 29 614
Lucia Frosini Italy 14 887 1.9× 454 1.5× 584 2.2× 193 1.5× 25 0.3× 75 1.1k
Md Nasmus Sakib Khan Shabbir Canada 10 462 1.0× 346 1.2× 162 0.6× 89 0.7× 17 0.2× 27 631
John S. Donnal United States 16 328 0.7× 476 1.6× 218 0.8× 27 0.2× 48 0.6× 52 732
Peter Lindahl United States 13 282 0.6× 365 1.2× 139 0.5× 25 0.2× 33 0.4× 38 603
Jiahui Liu China 12 358 0.8× 108 0.4× 106 0.4× 43 0.3× 58 0.8× 33 484
David B. Durocher United States 10 178 0.4× 209 0.7× 104 0.4× 47 0.4× 12 0.2× 62 414
Min Zeng China 13 162 0.4× 129 0.4× 241 0.9× 47 0.4× 35 0.5× 52 621
Epaminondas D. Mitronikas Greece 15 657 1.4× 480 1.6× 350 1.3× 120 0.9× 7 0.1× 67 920

Countries citing papers authored by Hisahide Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Hisahide Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisahide Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Hisahide Nakamura. A scholar is included among the top collaborators of Hisahide Nakamura 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 Hisahide Nakamura. Hisahide Nakamura 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.
Nakamura, Hisahide, et al.. (2026). Non-Invasive Induction Motor Fault Diagnosis Using PCA Optimized FFT Features and SVM Classification. Measurement. 266. 120401–120401.
2.
Suehara, Ken‐ichiro, et al.. (2024). Development of portable deterioration diagnosis device for oil filled transformers based on near‐infrared spectroscopic information. Electronics and Communications in Japan. 107(2). 2 indexed citations
3.
Nakamura, Hisahide & Yukio Mizuno. (2024). Identification System for Short-Circuit Fault Points in Concentrated Stator Windings of Motors. Energies. 17(9). 1984–1984.
4.
Yatsugi, Kenichi, et al.. (2022). Application of Convolutional Neural Network for Fault Diagnosis of Bearing Scratch of an Induction Motor. Applied Sciences. 12(11). 5513–5513. 6 indexed citations
5.
Nakamura, Hisahide. (2018). Proposal of Method for Identifying Short-Circuit Fault Points in Concentrated Windings of Motor Stators. IEEJ Transactions on Industry Applications. 138(7). 623–629. 2 indexed citations
6.
Pandarakone, Shrinathan Esakimuthu, et al.. (2018). Condition Monitoring and Diagnosis of Outer Raceway Bearing Fault using Support Vector Machine. 1–6. 8 indexed citations
7.
Pandarakone, Shrinathan Esakimuthu, et al.. (2018). Application of Naive Bayes Classifier Theorem in Detecting Induction Motor Bearing Failure. 1761–1767. 12 indexed citations
8.
Pandarakone, Shrinathan Esakimuthu, Yukio Mizuno, & Hisahide Nakamura. (2018). Online Slight Inter-Turn Short-Circuit Fault Diagnosis Using the Distortion Ratio of Load Current in a Low-Voltage Induction Motor. IEEJ Journal of Industry Applications. 7(6). 473–478. 4 indexed citations
9.
Nakamura, Hisahide, et al.. (2015). Probabilistic Diagnosis of Broken Rotor Bar of Cage Induction Motor Focused on Transition of Features. IEEJ Transactions on Electronics Information and Systems. 135(6). 679–685. 2 indexed citations
10.
Mizuno, Yukio, et al.. (2015). Turn-to-turn insulation failure diagnosis of stator winding of low voltage induction motor with the aid of support vector machine. IEEE Transactions on Dielectrics and Electrical Insulation. 22(6). 3099–3106. 23 indexed citations
12.
Nakamura, Hisahide, et al.. (2013). Online Diagnosis of Short-Circuit Fault of Stator Winding of Motor Operating under Variable Load Conditions. IEEJ Transactions on Industry Applications. 134(1). 90–95. 5 indexed citations
13.
Nakamura, Hisahide & Yukio Mizuno. (2013). Probabilistic diagnosis of short‐circuit faults and insulation deterioration of stator winding of motor. Electrical Engineering in Japan. 184(1). 30–41.
14.
Mizuno, Yukio, et al.. (2012). Probabilistic diagnosis of insulation failure of motor winding based on feature distributions. 886–889. 2 indexed citations
15.
Mizuno, Yukio, et al.. (2011). Insulation diagnosis of motor winding based on feature distributions. 587–590. 1 indexed citations
16.
Nakamura, Hisahide, et al.. (2010). Impulse testing for detection of insulation failure of motor winding and diagnosis based on Hidden Markov Model. IEEE Transactions on Dielectrics and Electrical Insulation. 17(5). 1619–1627. 8 indexed citations
17.
Nakamura, Hisahide, Y. Yamamoto, & Yukio Mizuno. (2006). Diagnosis of electrical and mechanical faults of induction motor. 521–524. 5 indexed citations
18.
Nakamura, Hisahide, Yukio Mizuno, & Tatsuya Suzuki. (2006). Diagnosis of Short Circuit Faults in Stator Winding of Motor based on Hidden Markov Model. IEEJ Transactions on Power and Energy. 126(9). 917–925. 7 indexed citations
19.
Nakamura, Hisahide, Tatsuya Suzuki, Shigeru Okuma, Kazuhiro Yubai, & Masayoshi Tomizuka. (2001). Joint Synthesis of Controller and Fault Detector and Its Application to Motor Drive Control System. Transactions of the Society of Instrument and Control Engineers. 37(12). 1140–1146. 4 indexed citations
20.
Kawai, Tomoko & Hisahide Nakamura. (1953). Experimental Investigation of Transient Interference from Power Line Faults on Carrier Current Equipment with Reference to Relaying. IEEJ Transactions on Fundamentals and Materials. 73(777). 621–623. 4 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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