Prapat Suriyaphol
About
In The Last Decade
Prapat Suriyaphol
47 papers receiving 747 citations
Peers
Comparison fields: 5 of 87
- Infectious Diseases 238
- Molecular Biology 210
- Public Health, Environmental and Occupational Health 188
- Epidemiology 171
- Plant Science 111
Countries citing papers authored by Prapat Suriyaphol
This map shows the geographic impact of Prapat Suriyaphol'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 Prapat Suriyaphol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prapat Suriyaphol more than expected).
Fields of papers citing papers by Prapat Suriyaphol
This network shows the impact of papers produced by Prapat Suriyaphol. 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 Prapat Suriyaphol. The network helps show where Prapat Suriyaphol may publish in the future.
Co-authorship network of co-authors of Prapat Suriyaphol
This figure shows the co-authorship network connecting the top 25 collaborators of Prapat Suriyaphol. A scholar is included among the top collaborators of Prapat Suriyaphol 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 Prapat Suriyaphol. Prapat Suriyaphol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 39 | |
| 9 | 21 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 33 | |
| 14 | 98 | |
| 15 | A Data Mining Framework for building Dengue infection disease Model | 6 |
| 16 | A Data Mining Framework for Building Dengue Infection Disease Model (人工知能学会全国大会(第26回)文化,科学技術と未来) -- (International Organized Session「Application Oriented Principles of Machine Learning and Data Mining」) | 1 |
| 17 | 22 | |
| 18 | 6 | |
| 19 | 32 | |
| 20 | 6 |
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.