Motonori Akagi

763 citations
13 papers · 563 indexed · 1 hit paper · h-index 10
Topics
Medical Imaging Techniques and Applications (6 papers)Advanced X-ray and CT Imaging (6 papers)MRI in cancer diagnosis (4 papers)
Partner nations
JapanIsraelUnited States

In The Last Decade

Motonori Akagi

13 papers receiving 556 citations

Hit Papers

Deep learning reconstruction improves image quality of ab...2019202620212023201950100150200250

Peers

Motonori Akagi
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 449
  • Biomedical Engineering 342
  • Surgery 71
  • Pulmonary and Respiratory Medicine 71
  • Hepatology 38
Replace Keigo Narita with:
Keigo Narita Japan
Yukiko Honda Japan
Borna K. Barth Switzerland
Hideaki Yuki Japan
Nicolaus A. Wagner‐Bartak United States
Anne-Marie Tissier France
Yuqin Ding China
Aymeric Hamard France
Lauren A. Wirtzfeld Canada
Adam Spandorfer United States
Motonori Akagi relative to Keigo Narita Japan Keigo Narita's profile →
Citations per field
00.5×1.5×
Keigo Narita · 1×
Citations per year

Countries citing papers authored by Motonori Akagi

Since Specialization
Citations

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

Fields of papers citing papers by Motonori Akagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motonori Akagi

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 52
2 44
3 1
4 11
5 20
6 30
7
Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CTbreakdown →
273
8 38
9 30
10 5
11 12
12 40
13 7

About Motonori Akagi

Motonori Akagi is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Biomedical Engineering, having authored 13 papers that have together received 563 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (6 papers) and MRI in cancer diagnosis (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (449 citations), Biomedical Engineering (342 citations) and Health Informatics (7 citations). Motonori Akagi has collaborated with scholars based in Japan, Israel and United States. Frequent co-authors include Yuko Nakamura, Kazuo Awai, Toru Higaki, Yukiko Honda, Keigo Narita, Naruomi Akino, Jian Zhou, Yu Zhou, Fuminari Tatsugami and Makoto Iida. Their work appears in journals such as Radiographics, European Radiology and Journal of Computer Assisted Tomography.

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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