Masahiro Numa

133 total papers · 1.3k total citations
96 papers, 1.1k citations indexed

About

Masahiro Numa is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Masahiro Numa has authored 96 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Electrical and Electronic Engineering, 46 papers in Biomedical Engineering and 19 papers in Mechanical Engineering. Recurrent topics in Masahiro Numa's work include Analog and Mixed-Signal Circuit Design (40 papers), Advancements in Semiconductor Devices and Circuit Design (37 papers) and Low-power high-performance VLSI design (34 papers). Masahiro Numa is often cited by papers focused on Analog and Mixed-Signal Circuit Design (40 papers), Advancements in Semiconductor Devices and Circuit Design (37 papers) and Low-power high-performance VLSI design (34 papers). Masahiro Numa collaborates with scholars based in Japan and United States. Masahiro Numa's co-authors include Nobutaka Kuroki, Tetsuya Hirose, Yuji Osaki, Makoto Sugamata, Junichi Kaneko, Kosei Ueno, Takahiro Nagai, T. Ippōshi, Hitoshi Asano and Daisuke Kanemoto and has published in prestigious journals such as IEEE Transactions on Communications, IEEE Journal of Solid-State Circuits and Japanese Journal of Applied Physics.

In The Last Decade

Masahiro Numa

90 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Masahiro Numa	911	626	285	69	68	96	1.1k
Seokhyeon Jeong	944 1.0×	607 1.0×	167 0.6×	122 1.8×	45 0.7×	54	1.1k
Yiqun Zhang	744 0.8×	342 0.5×	172 0.6×	65 0.9×	33 0.5×	32	1.0k
Jaehong Park	524 0.6×	227 0.4×	55 0.2×	31 0.4×	40 0.6×	79	1.0k
Aurel Gontean	473 0.5×	353 0.6×	367 1.3×	106 1.5×	21 0.3×	106	978
Suyoung Bang	1.1k 1.2×	517 0.8×	326 1.1×	125 1.8×	93 1.4×	34	1.2k
Sechang Oh	744 0.8×	567 0.9×	249 0.9×	143 2.1×	51 0.8×	77	1.2k
Seung-Wook Lee	648 0.7×	258 0.4×	50 0.2×	25 0.4×	140 2.1×	95	992
Xuan Zhang	439 0.5×	395 0.6×	82 0.3×	48 0.7×	23 0.3×	72	972
Yao Wang	918 1.0×	341 0.5×	46 0.2×	150 2.2×	79 1.2×	119	1.3k
Matthew L. Johnston	589 0.6×	580 0.9×	213 0.7×	30 0.4×	43 0.6×	98	1.0k

Countries citing papers authored by Masahiro Numa

Since Specialization

Citations

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

Fields of papers citing papers by Masahiro Numa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Numa

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