Munetaka Matoba

1.3k citations
51 papers · 987 indexed · h-index 16
Topics
Radiomics and Machine Learning in Medical Imaging (24 papers)MRI in cancer diagnosis (24 papers)Medical Imaging Techniques and Applications (11 papers)
Journals
SHILAP Revista de lepidopterologíaRadiologyAmerican Journal of Roentgenology
Partner nations
Japan

In The Last Decade

Munetaka Matoba

51 papers receiving 971 citations

Peers

Munetaka Matoba
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 554
  • Surgery 218
  • Pulmonary and Respiratory Medicine 210
  • Physiology 147
  • Molecular Biology 116
Replace Kazuya Shizukuishi with:
Kazuya Shizukuishi Japan
John O. Olsen United States
Hisao Tonami Japan
Ben G. Szabó Netherlands
Seok-Ki Kim South Korea
Katashi Satoh Japan
Kimiichi Uno Japan
J. Glaholm United Kingdom
Avi Eisbruch United States
N Arimizu Japan
Munetaka Matoba relative to Kazuya Shizukuishi Japan Kazuya Shizukuishi's profile →
Citations per field
00.5×2.5×
Kazuya Shizukuishi · 1×
Citations per year

Countries citing papers authored by Munetaka Matoba

Since Specialization
Citations

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

Fields of papers citing papers by Munetaka Matoba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munetaka Matoba

This figure shows the co-authorship network connecting the top 25 collaborators of Munetaka Matoba. A scholar is included among the top collaborators of Munetaka Matoba 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 Munetaka Matoba. Munetaka Matoba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 2
4 17
5 7
6 13
7 9
8 19
9 40
10 38
11 14
12 37
13 65
14 3
15 2
16 56
17 9
18 7
19 65
20 7

About Munetaka Matoba

Munetaka Matoba is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Otorhinolaryngology, having authored 51 papers that have together received 987 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (24 papers), MRI in cancer diagnosis (24 papers) and Medical Imaging Techniques and Applications (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (554 citations), Periodontics (40 citations) and Pulmonary and Respiratory Medicine (210 citations). Munetaka Matoba has collaborated with scholars based in Japan. Frequent co-authors include Hisao Tonami, Hajime Yokota, Itaru Yamamoto, Kotaro Higashi, Katsuo Usuda, Yasuaki Kuginuki, Kotaro Higashi, Susumu Sugai, Yoshimichi Ueda and Hirohisa Toga. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Roentgenology.

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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