H. Kadono

498 citations
22 papers · 392 · h-index 12

Impact in

Papers in

H. Kadono

20 papers receiving 375 citations

Peers

H. Kadono
Comparison fields: 5 of 56
  • Biophysics 73
  • Computer Vision and Pattern Recognition 142
  • Media Technology 46
  • Biomedical Engineering 174
  • Atomic and Molecular Physics, and Optics 99
Replace Hirofumi Kadono with:
Hirofumi Kadono Japan
Panomsak Meemon Thailand
Minghao Sun China
Daniel J. Heath United Kingdom
Rong-Seng Chang Taiwan
Hongbo Xie China
Robert Windecker Germany
Fabrice Mériaudeau France
Baoliang Ge China
H. Kadono relative to Hirofumi Kadono Japan Hirofumi Kadono's profile →
Citations per field
00.5×1.5×1.8×
Hirofumi Kadono · 1×
Citations per year

Countries citing papers authored by H. Kadono

Since Specialization
Citations

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

Fields of papers citing papers by H. Kadono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside H. Kadono, 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 H. Kadono Line = papers co-authored together H. Kadono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200366
2 199448
3 200245
4 202139
5 198735
6 199127
7 199122
8 198617
9 199716
10 199616
11 198715
12 201511
13 199210
14 20138
15 20224
16 19853
17 19883
18 19873
19 20143
20 20001

About H. Kadono

H. Kadono is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Mechanical Engineering and Biophysics, having authored 22 papers that have together received 392 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (12 papers), Surface Roughness and Optical Measurements (11 papers), Advanced Measurement and Metrology Techniques (6 papers), Optical Coherence Tomography Applications (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Optical Polarization and Ellipsometry (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Thermography and Photoacoustic Techniques (2 papers). The work is most often cited by research in Biophysics (73 citations), Computer Vision and Pattern Recognition (142 citations), Media Technology (46 citations), Biomedical Engineering (174 citations) and Atomic and Molecular Physics, and Optics (99 citations). H. Kadono has collaborated with scholars based in Japan and Sri Lanka. Frequent co-authors include Satoru Toyooka, Hideyuki Takaoka, Ryota Homma, Manabu Tanifuji, Uma Maheswari Rajagopalan, T. Asakura, Nobuharù Takai, Toshimitsu Asakura, Nobukatsu Takai and Motoichi Ohtsu. Their work appears in journals such as Optics Communications, Journal of the Optical Society of America A, Plant Stress, Optics Letters and Applied Physics B.

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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