Masayuki Matsui

202 total papers · 1.2k total citations
87 papers, 753 citations indexed

About

Masayuki Matsui is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Strategy and Management. According to data from OpenAlex, Masayuki Matsui has authored 87 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Industrial and Manufacturing Engineering, 17 papers in Management Information Systems and 8 papers in Strategy and Management. Recurrent topics in Masayuki Matsui's work include Scheduling and Optimization Algorithms (28 papers), Assembly Line Balancing Optimization (14 papers) and Advanced Manufacturing and Logistics Optimization (13 papers). Masayuki Matsui is often cited by papers focused on Scheduling and Optimization Algorithms (28 papers), Assembly Line Balancing Optimization (14 papers) and Advanced Manufacturing and Logistics Optimization (13 papers). Masayuki Matsui collaborates with scholars based in Japan, China and United States. Masayuki Matsui's co-authors include Yoichi TSUCHIDA, Shinji Hasegawa, Tetsuo Yamada, Jing Sun, Hiromichi Fukushima, Hisashi Yamamoto, Yong Yin, Soheyla Feyzbakhsh, Shimon Y. Nof and Jing Sun and has published in prestigious journals such as Journal of Applied Physics, International Journal of Pharmaceutics and International Journal of Production Economics.

In The Last Decade

Masayuki Matsui

76 papers receiving 686 citations

Author Peers

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

Author						Papers	Cites
Masayuki Matsui	201	174	123	119	82	87	753
Yoshiaki Shimizu	171 0.9×	117 0.7×	75 0.6×	43 0.4×	46 0.6×	120	656
Zhaoxiang Chen	164 0.8×	165 0.9×	30 0.2×	69 0.6×	82 1.0×	63	845
Nobutada Fujii	334 1.7×	96 0.6×	12 0.1×	62 0.5×	64 0.8×	128	789
Hisashi Yamamoto	93 0.5×	55 0.3×	18 0.1×	70 0.6×	25 0.3×	157	887
M. Affan Badar	124 0.6×	211 1.2×	12 0.1×	140 1.2×	144 1.8×	71	628
Xiaoguang Wang	57 0.3×	526 3.0×	18 0.1×	54 0.5×	36 0.4×	50	891
Reza Ahmadi	117 0.6×	130 0.7×	27 0.2×	38 0.3×	30 0.4×	61	738
Charalampos Makatsoris	125 0.6×	99 0.6×	39 0.3×	67 0.6×	54 0.7×	53	682
Bing Wang	25 0.1×	186 1.1×	100 0.8×	22 0.2×	59 0.7×	56	886
Xinan Chen	164 0.8×	82 0.5×	61 0.5×	10 0.1×	18 0.2×	50	843

Countries citing papers authored by Masayuki Matsui

Since Specialization

Citations

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

Fields of papers citing papers by Masayuki Matsui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Matsui

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