Pakinee Aimmanee
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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- Retinal Imaging and Analysis
Papers in
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- Glaucoma and retinal disorders 17
- Retinal Diseases and Treatments 11
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- Retinal Imaging and Analysis 19
- Co-authors
- Stanislav S. Makhanov (10 shared papers)Bunyarit Uyyanonvara (5 shared papers)Jessada Karnjana (15 shared papers)Masashi Unoki (8 shared papers)Chai Wutiwiwatchai (5 shared papers)Hideaki Haneishi (3 shared papers)Kazuya Nakano (2 shared papers)Takayuki Okamoto (2 shared papers)
In The Last Decade
Pakinee Aimmanee
37 papers receiving 234 citations
Peers
Comparison fields: 5 of 43
- Ophthalmology 106
- Radiology, Nuclear Medicine and Imaging 138
- Computer Vision and Pattern Recognition 115
- Signal Processing 32
- Health Information Management 13
Countries citing papers authored by Pakinee Aimmanee
This map shows the geographic impact of Pakinee Aimmanee'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 Pakinee Aimmanee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pakinee Aimmanee more than expected).
Fields of papers citing papers by Pakinee Aimmanee
This network shows the impact of papers produced by Pakinee Aimmanee. 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 Pakinee Aimmanee. The network helps show where Pakinee Aimmanee may publish in the future.
Co-authors
The 25 scholars most cited alongside Pakinee Aimmanee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 34 | |
| 2 | 2021 | 25 | |
| 3 | 2021 | 19 | |
| 4 | 2015 | 17 | |
| 5 | 2019 | 17 | |
| 6 | 2017 | 16 | |
| 7 | 2013 | 10 | |
| 8 | 2017 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2019 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2016 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2022 | 3 |
About Pakinee Aimmanee
Pakinee Aimmanee is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 44 papers that have together received 248 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (19 papers), Glaucoma and retinal disorders (17 papers), Retinal Diseases and Treatments (11 papers), Blind Source Separation Techniques (6 papers), Music and Audio Processing (5 papers), Speech and Audio Processing (5 papers), Image and Signal Denoising Methods (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). The work is most often cited by research in Ophthalmology (106 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Computer Vision and Pattern Recognition (115 citations), Signal Processing (32 citations) and Health Information Management (13 citations). Pakinee Aimmanee has collaborated with scholars based in Thailand, Japan and Myanmar. Frequent co-authors include Stanislav S. Makhanov, Bunyarit Uyyanonvara, Jessada Karnjana, Masashi Unoki, Chai Wutiwiwatchai, Hideaki Haneishi, Kazuya Nakano, Takayuki Okamoto, Go Sato and Yoshihiro Watanabe. Their work appears in journals such as Scientific Reports, IEEE Access, Intelligent Systems with Applications, Mathematics and Computers in Simulation and Multimedia Tools and Applications.
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.