Masafumi Maeda

115 total papers · 1.3k total citations
83 papers, 1.0k citations indexed

About

Masafumi Maeda is a scholar working on Mechanical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Masafumi Maeda has authored 83 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Mechanical Engineering, 19 papers in Materials Chemistry and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Masafumi Maeda's work include Metallurgical Processes and Thermodynamics (27 papers), Extraction and Separation Processes (14 papers) and Molten salt chemistry and electrochemical processes (8 papers). Masafumi Maeda is often cited by papers focused on Metallurgical Processes and Thermodynamics (27 papers), Extraction and Separation Processes (14 papers) and Molten salt chemistry and electrochemical processes (8 papers). Masafumi Maeda collaborates with scholars based in Japan, Canada and Bulgaria. Masafumi Maeda's co-authors include Takashi Ikeda, Hideaki Sasaki, Toru H. Okabe, Takashi Nagai, Masao Miyake, Yoshitaka Mitsuda, Nobuo Sano, Shigeru Ueda, Sachiko Yamamoto and Takashi IKEDA and has published in prestigious journals such as Journal of The Electrochemical Society, The Journal of Physical Chemistry C and Electrochimica Acta.

In The Last Decade

Masafumi Maeda

80 papers receiving 998 citations

Author Peers

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

Author						Papers	Cites
Masafumi Maeda	717	307	270	211	161	83	1.0k
Hyun Seon Hong	628 0.9×	595 1.9×	301 1.1×	136 0.6×	252 1.6×	92	1.2k
Zhanmin Cao	629 0.9×	445 1.4×	241 0.9×	170 0.8×	25 0.2×	69	1.1k
Dachun Liu	407 0.6×	535 1.7×	169 0.6×	225 1.1×	72 0.4×	58	969
Hirokazu Konishi	511 0.7×	195 0.6×	416 1.5×	145 0.7×	62 0.4×	88	1.2k
Jinglin You	387 0.5×	574 1.9×	177 0.7×	162 0.8×	69 0.4×	95	1.2k
Yongchun Shu	445 0.6×	460 1.5×	342 1.3×	112 0.5×	22 0.1×	80	990
Yuqian Chen	226 0.3×	490 1.6×	380 1.4×	150 0.7×	140 0.9×	64	1.1k
N. R. Munirathnam	266 0.4×	739 2.4×	427 1.6×	136 0.6×	70 0.4×	53	1.2k
T. L. Prakash	293 0.4×	700 2.3×	349 1.3×	165 0.8×	51 0.3×	61	1.1k
C.E. Bamberger	165 0.2×	695 2.3×	204 0.8×	160 0.8×	142 0.9×	82	1.0k

Countries citing papers authored by Masafumi Maeda

Since Specialization

Citations

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

Fields of papers citing papers by Masafumi Maeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masafumi Maeda

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