Mitsuo Goto

25 total papers · 491 total citations
19 papers, 402 citations indexed

About

Mitsuo Goto is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Mitsuo Goto has authored 19 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Mitsuo Goto's work include Advanced Measurement and Metrology Techniques (15 papers), Optical measurement and interference techniques (6 papers) and Astronomical Observations and Instrumentation (5 papers). Mitsuo Goto is often cited by papers focused on Advanced Measurement and Metrology Techniques (15 papers), Optical measurement and interference techniques (6 papers) and Astronomical Observations and Instrumentation (5 papers). Mitsuo Goto collaborates with scholars based in Japan, Australia and Germany. Mitsuo Goto's co-authors include Toshiyuki Takatsuji, Tomizo Kurosawa, Osamu Nakamura, Yoshihiko Koseki, Toshiro Kurosawa, Sonko Osawa, K. Sugimoto, Tamio Arai, Nozomi Takai and Toshio SATA and has published in prestigious journals such as Review of Scientific Instruments, CIRP Annals and Measurement Science and Technology.

In The Last Decade

Mitsuo Goto

19 papers receiving 358 citations

Author Peers

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

Author						Papers	Cites
Mitsuo Goto	285	126	113	85	78	19	402
Martin Peterek	240 0.8×	86 0.7×	63 0.6×	38 0.4×	70 0.9×	17	338
Thorsten Pfister	181 0.6×	82 0.7×	111 1.0×	103 1.2×	71 0.9×	30	356
Nick Van Gestel	304 1.1×	221 1.8×	147 1.3×	55 0.6×	68 0.9×	10	443
Enzheng Zhang	289 1.0×	152 1.2×	77 0.7×	156 1.8×	41 0.5×	24	368
Chunyu Zhao	287 1.0×	94 0.7×	46 0.4×	35 0.4×	59 0.8×	39	371
Thomas O. H. Charrett	131 0.5×	76 0.6×	114 1.0×	112 1.3×	71 0.9×	37	343
Heui Jae Pahk	189 0.7×	110 0.9×	118 1.0×	94 1.1×	142 1.8×	31	428
Heui-Jae Pahk	178 0.6×	145 1.2×	135 1.2×	81 1.0×	86 1.1×	36	381
S. R. Patterson	305 1.1×	44 0.3×	80 0.7×	91 1.1×	223 2.9×	16	413
Florian Bugarin	134 0.5×	204 1.6×	51 0.5×	54 0.6×	44 0.6×	30	421

Countries citing papers authored by Mitsuo Goto

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuo Goto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuo Goto

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