Masatomo Inui

151 total papers · 720 total citations
72 papers, 474 citations indexed

About

Masatomo Inui is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Masatomo Inui has authored 72 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Industrial and Manufacturing Engineering, 41 papers in Computational Mechanics and 24 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Masatomo Inui's work include Manufacturing Process and Optimization (42 papers), Advanced Numerical Analysis Techniques (31 papers) and Computer Graphics and Visualization Techniques (21 papers). Masatomo Inui is often cited by papers focused on Manufacturing Process and Optimization (42 papers), Advanced Numerical Analysis Techniques (31 papers) and Computer Graphics and Visualization Techniques (21 papers). Masatomo Inui collaborates with scholars based in Japan, Russia and China. Masatomo Inui's co-authors include Toshio SATA, Sadaaki Takata, F. Kimura, Hideaki Onozuka, Fumihiko Kimura, Hiromasa Suzuki, Masahiro Miura, Yu Huang, Yu Huang and Martti Mäntylä and has published in prestigious journals such as CIRP Annals, Robotics and Computer-Integrated Manufacturing and IEEE Computer Graphics and Applications.

In The Last Decade

Masatomo Inui

62 papers receiving 408 citations

Author Peers

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

Author						Papers	Cites
Masatomo Inui	292	240	209	98	76	72	474
Yun‐Chan Chung	209 0.7×	178 0.7×	254 1.2×	72 0.7×	57 0.8×	37	474
Zezhong C. Chen	250 0.9×	452 1.9×	259 1.2×	153 1.6×	14 0.2×	41	540
Vincent François	207 0.7×	110 0.5×	212 1.0×	24 0.2×	81 1.1×	39	538
Yingjie Zhang	184 0.6×	192 0.8×	92 0.4×	50 0.5×	9 0.1×	40	501
Sung-Chong Chung	106 0.4×	299 1.2×	77 0.4×	56 0.6×	15 0.2×	49	432
Luigi Malomo	69 0.2×	197 0.8×	155 0.7×	51 0.5×	125 1.6×	29	543
Shengjun Liu	44 0.2×	120 0.5×	256 1.2×	71 0.7×	113 1.5×	52	434
Erkan Günpınar	115 0.4×	189 0.8×	114 0.5×	21 0.2×	63 0.8×	41	461
Borhen Louhichi	255 0.9×	125 0.5×	106 0.5×	24 0.2×	13 0.2×	59	407
Khalil Khalili	72 0.2×	273 1.1×	83 0.4×	78 0.8×	9 0.1×	72	487

Countries citing papers authored by Masatomo Inui

Since Specialization

Citations

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

Fields of papers citing papers by Masatomo Inui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatomo Inui

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