Prawit Chumchu
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
-
- Smart Agriculture and AI
- GABA and Rice Research
- Leaf Properties and Growth Measurement
- Sugarcane Cultivation and Processing
- Date Palm Research Studies
Papers in
-
- Wireless Communication Networks Research 5
- Network Traffic and Congestion Control 5
- Wireless Networks and Protocols 4
-
- IPv6, Mobility, Handover, Networks, Security 7
- Advanced Wireless Network Optimization 5
- Co-authors
- Kailas Patil (24 shared papers)Vidula Meshram (4 shared papers)Aruna Seneviratne (4 shared papers)Vishal Meshram (2 shared papers)Roksana Boreli (1 shared paper)Mahbub Hassan (1 shared paper)
In The Last Decade
Prawit Chumchu
38 papers receiving 240 citations
Peers
Comparison fields: 5 of 59
- Analytical Chemistry 46
- Plant Science 115
- Inorganic Chemistry 26
- Signal Processing 18
- Computer Vision and Pattern Recognition 34
Countries citing papers authored by Prawit Chumchu
This map shows the geographic impact of Prawit Chumchu'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 Prawit Chumchu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prawit Chumchu more than expected).
Fields of papers citing papers by Prawit Chumchu
This network shows the impact of papers produced by Prawit Chumchu. 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 Prawit Chumchu. The network helps show where Prawit Chumchu may publish in the future.
Co-authors
The 6 scholars most cited alongside Prawit Chumchu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 37 | |
| 2 | 2022 | 34 | |
| 3 | 2023 | 28 | |
| 4 | 2011 | 15 | |
| 5 | 2022 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2024 | 11 | |
| 8 | 2023 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2002 | 7 | |
| 12 | 2002 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2003 | 4 |
About Prawit Chumchu
Prawit Chumchu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Plant Science, Computer Vision and Pattern Recognition and Signal Processing, having authored 44 papers that have together received 255 indexed citations. Recurring topics across this work include IPv6, Mobility, Handover, Networks, Security (7 papers), Advanced Adaptive Filtering Techniques (5 papers), Wireless Communication Networks Research (5 papers), Advanced Wireless Network Optimization (5 papers), Network Traffic and Congestion Control (5 papers), Smart Agriculture and AI (5 papers), Blind Source Separation Techniques (4 papers) and Wireless Networks and Protocols (4 papers). The work is most often cited by research in Analytical Chemistry (46 citations), Plant Science (115 citations), Inorganic Chemistry (26 citations), Signal Processing (18 citations) and Computer Vision and Pattern Recognition (34 citations). Prawit Chumchu has collaborated with scholars based in Thailand, India and Australia. Frequent co-authors include Kailas Patil, Vidula Meshram, Aruna Seneviratne, Vishal Meshram, Roksana Boreli and Mahbub Hassan. Their work appears in journals such as Data in Brief, International Journal of Environment and Waste Management, International Journal of Computational Science and Engineering, IEICE Transactions on Communications and Software Impacts.
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.