Pimwadee Chaovalit
- Artificial Intelligence top 5%
- Information Systems top 5%
- Sociology and Political Science
- Building and Construction top 10%
- Signal Processing top 10%
- Co-authors
- Liang ZhouSuporn PongnumkulAryya GangopadhyayZhiyuan ChenGeorge KarabatisLina ZhouWasan Pattara-AtikomSooksan Panichpapiboon
- Topics
- Time Series Analysis and Forecasting (5 papers)Traffic Prediction and Management Techniques (5 papers)Transportation Planning and Optimization (3 papers)
- Partner nations
- ThailandUnited StatesCambodia
In The Last Decade
Pimwadee Chaovalit
22 papers receiving 919 citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 453
- Information Systems 175
- Sociology and Political Science 95
- Building and Construction 86
- Signal Processing 85
Countries citing papers authored by Pimwadee Chaovalit
This map shows the geographic impact of Pimwadee Chaovalit'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 Pimwadee Chaovalit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pimwadee Chaovalit more than expected).
Fields of papers citing papers by Pimwadee Chaovalit
This network shows the impact of papers produced by Pimwadee Chaovalit. 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 Pimwadee Chaovalit. The network helps show where Pimwadee Chaovalit may publish in the future.
Co-authorship network of co-authors of Pimwadee Chaovalit
This figure shows the co-authorship network connecting the top 25 collaborators of Pimwadee Chaovalit. A scholar is included among the top collaborators of Pimwadee Chaovalit 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 Pimwadee Chaovalit. Pimwadee Chaovalit 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 | 7 | |
| 3 | 9 | |
| 4 | 11 | |
| 5 | 79 | |
| 6 | 49 | |
| 7 | 53 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 142 | |
| 14 | 10 | |
| 15 | 16 | |
| 16 | 1 | |
| 17 | 89 | |
| 18 | 9 | |
| 19 | Clustering transient data streams by example and by variable | 2 |
| 20 | 258 |
About Pimwadee Chaovalit
Pimwadee Chaovalit is a scholar working on Transportation, Signal Processing and Building and Construction, having authored 24 papers that have together received 981 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (5 papers), Traffic Prediction and Management Techniques (5 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Artificial Intelligence (453 citations), Transportation (79 citations) and Signal Processing (85 citations). Pimwadee Chaovalit has collaborated with scholars based in Thailand, United States and Cambodia. Frequent co-authors include Liang Zhou, Suporn Pongnumkul, Aryya Gangopadhyay, Zhiyuan Chen, George Karabatis, Lina Zhou, Wasan Pattara-Atikom, Sooksan Panichpapiboon, Thanaruk Theeramunkong and Kheng Chheng. Their work appears in journals such as ACM Computing Surveys, Applied Sciences and JMIR mhealth and uhealth.
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.