Noppadol Maneerat
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Ophthalmology top 5%
- Artificial Intelligence
- Neurology top 10%
- Co-authors
- Khin Yadanar WinKazuhiko HamamotoNathawut ChoengchanDon IsarakornYasushi KatoJun‐ichi TakadaUkrit WatchareeruetaiKaoru Takahashi
- Topics
- Retinal Imaging and Analysis (15 papers)Retinal Diseases and Treatments (11 papers)Digital Imaging for Blood Diseases (10 papers)
In The Last Decade
Noppadol Maneerat
38 papers receiving 471 citations
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 260
- Computer Vision and Pattern Recognition 198
- Ophthalmology 164
- Artificial Intelligence 84
- Neurology 81
Countries citing papers authored by Noppadol Maneerat
This map shows the geographic impact of Noppadol Maneerat'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 Noppadol Maneerat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noppadol Maneerat more than expected).
Fields of papers citing papers by Noppadol Maneerat
This network shows the impact of papers produced by Noppadol Maneerat. 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 Noppadol Maneerat. The network helps show where Noppadol Maneerat may publish in the future.
Co-authorship network of co-authors of Noppadol Maneerat
This figure shows the co-authorship network connecting the top 25 collaborators of Noppadol Maneerat. A scholar is included among the top collaborators of Noppadol Maneerat 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 Noppadol Maneerat. Noppadol Maneerat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 19 | |
| 8 | 23 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 18 | |
| 17 | 18 | |
| 18 | 17 | |
| 19 | 5 | |
| 20 | Composition of Service and Protocol Specifications in Asynchronous Communication System | 5 |
About Noppadol Maneerat
Noppadol Maneerat is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 506 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (15 papers), Retinal Diseases and Treatments (11 papers) and Digital Imaging for Blood Diseases (10 papers). The work is most often cited by research in Ophthalmology (164 citations), Radiology, Nuclear Medicine and Imaging (260 citations) and Neurology (81 citations). Noppadol Maneerat has collaborated with scholars based in Thailand, Japan and Myanmar. Frequent co-authors include Khin Yadanar Win, Kazuhiko Hamamoto, Nathawut Choengchan, Don Isarakorn, Yasushi Kato, Jun‐ichi Takada, Ukrit Watchareeruetai, Kaoru Takahashi, Somsak Choomchuay and Hideyuki Takahashi. Their work appears in journals such as IEEE Access, Sensors and Actuators B Chemical and Applied Sciences.
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.