M. Nakaoka

479 total papers · 4.3k total citations
380 papers, 3.2k citations indexed

About

M. Nakaoka is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, M. Nakaoka has authored 380 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 360 papers in Electrical and Electronic Engineering, 168 papers in Mechanical Engineering and 78 papers in Control and Systems Engineering. Recurrent topics in M. Nakaoka's work include Advanced DC-DC Converters (290 papers), Multilevel Inverters and Converters (263 papers) and Induction Heating and Inverter Technology (154 papers). M. Nakaoka is often cited by papers focused on Advanced DC-DC Converters (290 papers), Multilevel Inverters and Converters (263 papers) and Induction Heating and Inverter Technology (154 papers). M. Nakaoka collaborates with scholars based in Japan, South Korea and Egypt. M. Nakaoka's co-authors include Eiji Hiraki, Shigeru Hamada, K. Nishida, Hideki Omori, Y. Konishi, Hiroshi Takano, Toufik Ahmed, Tarek Sayed Ahmed, Tomokazu Mishima and K. Ogura and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Industry Applications.

In The Last Decade

M. Nakaoka

353 papers receiving 3.0k citations

Author Peers

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

Author						Papers	Cites
M. Nakaoka	3.0k	1.0k	732	258	133	380	3.2k
Mutsuo Nakaoka	2.2k 0.7×	839 0.8×	452 0.6×	351 1.4×	89 0.7×	368	2.4k
Martin P. Foster	2.2k 0.8×	516 0.5×	826 1.1×	439 1.7×	92 0.7×	190	2.5k
Dong Jiang	3.9k 1.3×	593 0.6×	1.6k 2.2×	221 0.9×	73 0.5×	281	4.3k
Shoudao Huang	2.6k 0.9×	731 0.7×	1.9k 2.6×	205 0.8×	147 1.1×	344	3.8k
Gabriele Grandi	3.9k 1.3×	281 0.3×	1.2k 1.7×	464 1.8×	591 4.4×	178	4.3k
Dariusz Czarkowski	4.2k 1.4×	549 0.5×	1.3k 1.8×	848 3.3×	107 0.8×	168	4.4k
Dominik Bortis	4.0k 1.3×	378 0.4×	769 1.1×	566 2.2×	249 1.9×	151	4.2k
Jorge García	2.6k 0.9×	356 0.3×	546 0.7×	444 1.7×	168 1.3×	190	2.9k
Andrew J. Forsyth	3.1k 1.0×	325 0.3×	1.0k 1.4×	665 2.6×	118 0.9×	174	3.5k
Guoqiang Zhang	4.3k 1.5×	602 0.6×	2.4k 3.3×	189 0.7×	104 0.8×	255	5.3k

Countries citing papers authored by M. Nakaoka

Since Specialization

Citations

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

Fields of papers citing papers by M. Nakaoka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Nakaoka

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