M. Fujii

79 total papers · 640 total citations
49 papers, 524 citations indexed

About

M. Fujii is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Plant Science. According to data from OpenAlex, M. Fujii has authored 49 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 11 papers in Materials Chemistry and 8 papers in Plant Science. Recurrent topics in M. Fujii's work include Power Transformer Diagnostics and Insulation (13 papers), High voltage insulation and dielectric phenomena (10 papers) and Neural Networks and Applications (6 papers). M. Fujii is often cited by papers focused on Power Transformer Diagnostics and Insulation (13 papers), High voltage insulation and dielectric phenomena (10 papers) and Neural Networks and Applications (6 papers). M. Fujii collaborates with scholars based in Japan, Kenya and Greece. M. Fujii's co-authors include Susumu Hizukuri, Zirô NIKUNI, K. Yoshino, Yuko Hirai, Hiroshi Kohda, Kazuo Yamasaki, Masaru Uchida, Hideo Nakamura, Yasuo Komoda and Isamu Kitani and has published in prestigious journals such as Nature, FEBS Letters and Journal of Physics Condensed Matter.

In The Last Decade

M. Fujii

43 papers receiving 502 citations

Author Peers

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

Author						Papers	Cites
M. Fujii	164	125	95	84	80	49	524
Bhavna Sharma	64 0.4×	79 0.6×	108 1.1×	40 0.5×	112 1.4×	30	567
Xiaowei Du	45 0.3×	152 1.2×	70 0.7×	35 0.4×	117 1.5×	39	517
Zhi‐Xue Xu	146 0.9×	148 1.2×	101 1.1×	20 0.2×	45 0.6×	27	474
Ruibin Bai	45 0.3×	216 1.7×	164 1.7×	44 0.5×	73 0.9×	32	519
Zhong Wang	62 0.4×	245 2.0×	157 1.7×	14 0.2×	54 0.7×	30	490
Chengchao Zhang	85 0.5×	271 2.2×	145 1.5×	24 0.3×	24 0.3×	31	549
Shuang Guo	63 0.4×	299 2.4×	66 0.7×	57 0.7×	32 0.4×	54	602
S. Sathya	122 0.7×	109 0.9×	100 1.1×	21 0.3×	17 0.2×	41	485
Yuan Qu	49 0.3×	259 2.1×	161 1.7×	16 0.2×	37 0.5×	37	563
Hyoung‐Geun Kim	53 0.3×	240 1.9×	145 1.5×	37 0.4×	30 0.4×	69	537

Countries citing papers authored by M. Fujii

Since Specialization

Citations

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

Fields of papers citing papers by M. Fujii

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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