Kazutaka Mitobe

133 total papers · 549 total citations
71 papers, 411 citations indexed

About

Kazutaka Mitobe is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Kazutaka Mitobe has authored 71 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Human-Computer Interaction. Recurrent topics in Kazutaka Mitobe's work include Advanced MRI Techniques and Applications (9 papers), Hand Gesture Recognition Systems (9 papers) and Ultrasound and Hyperthermia Applications (9 papers). Kazutaka Mitobe is often cited by papers focused on Advanced MRI Techniques and Applications (9 papers), Hand Gesture Recognition Systems (9 papers) and Ultrasound and Hyperthermia Applications (9 papers). Kazutaka Mitobe collaborates with scholars based in Japan, Bangladesh and China. Kazutaka Mitobe's co-authors include Noboru Yoshimura, Hajime Saito, Yoshihiro Minamiya, Jun‐ichi Ogawa, Satoru Motoyama, Masafumi Suzuki, Hajime Saito, Naoko Takahashi, Kiyotomi Maruyama and Yoshiyuki Yamamoto and has published in prestigious journals such as Journal of Biomechanics, Accident Analysis & Prevention and Japanese Journal of Applied Physics.

In The Last Decade

Kazutaka Mitobe

60 papers receiving 395 citations

Author Peers

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

Author						Papers	Cites
Kazutaka Mitobe	213	82	77	61	52	71	411
Ling Luo	76 0.4×	70 0.9×	54 0.7×	47 0.8×	42 0.8×	53	488
Ying Sun	201 0.9×	93 1.1×	65 0.8×	65 1.1×	7 0.1×	31	401
Shreya Ghosh	220 1.0×	75 0.9×	49 0.6×	155 2.5×	5 0.1×	46	461
Wei‐Ting Lin	80 0.4×	196 2.4×	24 0.3×	29 0.5×	13 0.3×	30	401
Xiangyu Zhang	104 0.5×	154 1.9×	58 0.8×	17 0.3×	5 0.1×	46	432
Hanhui Li	103 0.5×	38 0.5×	35 0.5×	31 0.5×	5 0.1×	48	379
Chunnan Wang	184 0.9×	109 1.3×	11 0.1×	85 1.4×	9 0.2×	48	469
Rongxin Fu	310 1.5×	96 1.2×	20 0.3×	104 1.7×	12 0.2×	53	468
Bowen Luo	98 0.5×	89 1.1×	17 0.2×	39 0.6×	3 0.1×	38	428
Aiying Guo	142 0.7×	64 0.8×	38 0.5×	79 1.3×	16 0.3×	46	426

Countries citing papers authored by Kazutaka Mitobe

Since Specialization

Citations

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

Fields of papers citing papers by Kazutaka Mitobe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutaka Mitobe

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