Akiko Harasaki
- Computer Vision and Pattern Recognition top 5%
- Electronic, Optical and Magnetic Materials top 10%
- Electrical and Electronic Engineering
- Computational Mechanics top 5%
- Mechanical Engineering top 10%
- Topics
- Optical measurement and interference techniques (4 papers)Laser Design and Applications (3 papers)Advanced Measurement and Metrology Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionElectronic, Optical and Magnetic MaterialsComputational Mechanics
- Journals
- Japanese Journal of Applied PhysicsJournal of the Physical Society of JapanApplied Optics
- Partner nations
- JapanUnited States
In The Last Decade
Akiko Harasaki
8 papers receiving 613 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 247
- Electronic, Optical and Magnetic Materials 218
- Electrical and Electronic Engineering 208
- Computational Mechanics 173
- Mechanical Engineering 171
Countries citing papers authored by Akiko Harasaki
This map shows the geographic impact of Akiko Harasaki'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 Akiko Harasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Harasaki more than expected).
Fields of papers citing papers by Akiko Harasaki
This network shows the impact of papers produced by Akiko Harasaki. 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 Akiko Harasaki. The network helps show where Akiko Harasaki may publish in the future.
Co-authorship network of co-authors of Akiko Harasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Harasaki. A scholar is included among the top collaborators of Akiko Harasaki 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 Akiko Harasaki. Akiko Harasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 1 | |
| 3 | 140 | |
| 4 | 214 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 252 | |
| 8 | Efficient second-harmonic generation of a TEA-CO 2 laser with Z-fold pumping in AgGaSe 2 bulk crystal | 1 |
| 9 | 0 | |
| 10 | 3 |
About Akiko Harasaki
Akiko Harasaki is a scholar working on Computer Vision and Pattern Recognition, Condensed Matter Physics and Electronic, Optical and Magnetic Materials, having authored 10 papers that have together received 654 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (4 papers), Laser Design and Applications (3 papers) and Advanced Measurement and Metrology Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Electronic, Optical and Magnetic Materials (218 citations) and Computational Mechanics (173 citations). Akiko Harasaki has collaborated with scholars based in Japan and United States. Frequent co-authors include James C. Wyant, Kiyoshi Katō, Joanna Schmit, A. Tanaka, Taeho Jo, Jun Sakuma and Shinsuke Umegaki. Their work appears in journals such as Japanese Journal of Applied Physics, Journal of the Physical Society of Japan and Applied Optics.
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.