Sarana Nutanong
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Co-authors
- Hanan SametEgemen TaninRui ZhangLars KulikEdwin JacoxRaheem SarwarChenyun YuThanawin Rakthanmanon
- Topics
- Data Management and Algorithms (23 papers)Topic Modeling (19 papers)Natural Language Processing Techniques (18 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACS Applied Materials & InterfacesCommunications of the ACM
- Partner nations
- ThailandHong KongUnited States
In The Last Decade
Sarana Nutanong
68 papers receiving 770 citations
Peers
Comparison fields: 5 of 100
- Signal Processing 305
- Artificial Intelligence 242
- Computer Networks and Communications 168
- Computer Vision and Pattern Recognition 144
- Information Systems 131
Countries citing papers authored by Sarana Nutanong
This map shows the geographic impact of Sarana Nutanong'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 Sarana Nutanong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarana Nutanong more than expected).
Fields of papers citing papers by Sarana Nutanong
This network shows the impact of papers produced by Sarana Nutanong. 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 Sarana Nutanong. The network helps show where Sarana Nutanong may publish in the future.
Co-authorship network of co-authors of Sarana Nutanong
This figure shows the co-authorship network connecting the top 25 collaborators of Sarana Nutanong. A scholar is included among the top collaborators of Sarana Nutanong 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 Sarana Nutanong. Sarana Nutanong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 26 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 18 | |
| 17 | 22 | |
| 18 | 14 | |
| 19 | Bohr: Similarity Aware Geo-distributed Data Analytics | 8 |
| 20 | 27 |
About Sarana Nutanong
Sarana Nutanong is a scholar working on Signal Processing, Geography, Planning and Development and Artificial Intelligence, having authored 74 papers that have together received 794 indexed citations. Recurring topics across this work include Data Management and Algorithms (23 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (18 papers). The work is most often cited by research in Signal Processing (305 citations), Geography, Planning and Development (114 citations) and Transportation (57 citations). Sarana Nutanong has collaborated with scholars based in Thailand, Hong Kong and United States. Frequent co-authors include Hanan Samet, Egemen Tanin, Rui Zhang, Lars Kulik, Edwin Jacox, Raheem Sarwar, Chenyun Yu, Thanawin Rakthanmanon, Yutthana Wongnongwa and Supawadee Namuangruk. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Applied Materials & Interfaces and Communications of the ACM.
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.