Suppawong Tuarob
- Artificial Intelligence top 2%
- Information Systems top 2%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Conrad S. TuckerC. Lee GilesPrasenjit MitraThanapon NorasetNilàm RamSumit BhatiaMarcel SalathéLine Pouchard
- Topics
- Topic Modeling (19 papers)Advanced Text Analysis Techniques (18 papers)Web Data Mining and Analysis (10 papers)
- Journals
- IEEE AccessIEEE Transactions on Software EngineeringIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- ThailandUnited StatesPakistan
In The Last Decade
Suppawong Tuarob
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 680
- Information Systems 342
- Sociology and Political Science 174
- Computer Vision and Pattern Recognition 128
- Management Science and Operations Research 119
Countries citing papers authored by Suppawong Tuarob
This map shows the geographic impact of Suppawong Tuarob'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 Suppawong Tuarob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suppawong Tuarob more than expected).
Fields of papers citing papers by Suppawong Tuarob
This network shows the impact of papers produced by Suppawong Tuarob. 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 Suppawong Tuarob. The network helps show where Suppawong Tuarob may publish in the future.
Co-authorship network of co-authors of Suppawong Tuarob
This figure shows the co-authorship network connecting the top 25 collaborators of Suppawong Tuarob. A scholar is included among the top collaborators of Suppawong Tuarob 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 Suppawong Tuarob. Suppawong Tuarob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 24 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 29 | |
| 16 | 2 | |
| 17 | 77 | |
| 18 | 26 | |
| 19 | ONEMercury: Towards Automatic Annotation of Earth Science Metadata | 1 |
| 20 | ONEMercury: Towards Automatic Annotation of Environmental Science Metadata. | 10 |
About Suppawong Tuarob
Suppawong Tuarob is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Advanced Text Analysis Techniques (18 papers) and Web Data Mining and Analysis (10 papers). The work is most often cited by research in Artificial Intelligence (680 citations), Information Systems (342 citations) and Computer Science Applications (68 citations). Suppawong Tuarob has collaborated with scholars based in Thailand, United States and Pakistan. Frequent co-authors include Conrad S. Tucker, C. Lee Giles, Prasenjit Mitra, Thanapon Noraset, Nilàm Ram, Sumit Bhatia, Marcel Salathé, Line Pouchard, Saeed‐Ul Hassan and Raheel Nawaz. Their work appears in journals such as IEEE Access, IEEE Transactions on Software Engineering and IEEE Transactions on Knowledge and Data Engineering.
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.