Kanako Harada

2.2k citations
129 papers · 1.5k indexed · h-index 22

Impact in

Papers in

Kanako Harada

119 papers receiving 1.5k citations

Peers

Kanako Harada
Comparison fields: 5 of 123
  • Biomedical Engineering 837
  • Surgery 605
  • Health Informatics 18
  • Computer Vision and Pattern Recognition 192
  • Ophthalmology 80
Replace David B. Camarillo with:
David B. Camarillo United States
Ken Masamune Japan
George Mylonas United Kingdom
John J. van den Dobbelsteen Netherlands
Mehran Armand United States
Michel de Mathelin France
Gregory S. Fischer United States
Leonardo S. Mattos Italy
Simon DiMaio United States
Jocelyne Troccaz France
Kanako Harada relative to David B. Camarillo United States David B. Camarillo's profile →
Citations per field
00.5×1.5×1.8×
David B. Camarillo · 1×
Citations per year

Countries citing papers authored by Kanako Harada

Since Specialization
Citations

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

Fields of papers citing papers by Kanako Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kanako Harada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kanako Harada Line = papers co-authored together Kanako Harada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20233
3 20210
4 202056
5 20191
6 20181
7 20183
8 20188
9 20177
10 20171
11 20162
12 20163
13 201613
14 201618
15 20131
16 20133
17 20116
18 200920
19 20011
20 19741

About Kanako Harada

Kanako Harada is a scholar working on Ophthalmology, Biomedical Engineering, Computer Vision and Pattern Recognition, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 129 papers that have together received 1.5k indexed citations. Recurring topics across this work include Soft Robotics and Applications (55 papers), Surgical Simulation and Training (36 papers), Anatomy and Medical Technology (25 papers), Augmented Reality Applications (19 papers), Retinal and Macular Surgery (16 papers), Intraocular Surgery and Lenses (11 papers), Micro and Nano Robotics (9 papers) and Robotics and Sensor-Based Localization (9 papers). The work is most often cited by research in Biomedical Engineering (837 citations), Surgery (605 citations), Health Informatics (18 citations), Computer Vision and Pattern Recognition (192 citations) and Ophthalmology (80 citations). Kanako Harada has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Mamoru Mitsuishi, Naohiko Sugita, Arianna Menciassi, Paolo Dario, Masakatsu G. Fujie, Kazuomi Kario, Mitsuo Kuwabara, Akio Morita, Murilo M. Marinho and Jianbo Sui. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Journal of Laparoendoscopic & Advanced Surgical Techniques, Journal of Clinical Hypertension, CIRP Annals and Advanced Robotics.

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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