Apirat Wanichsombat
- Plant Science top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Water Science and Technology top 10%
- Information Systems top 10%
- Co-authors
- Jirapond MuangprathubSiriwan KajornkasiratNathaphon BoonnamTheera SrisawatVeera BoonjingBoonyarach KitiyananNurak GrisdanurakPongtanawat Khemthong
- Topics
- Smart Agriculture and AI (3 papers)Greenhouse Technology and Climate Control (2 papers)Rough Sets and Fuzzy Logic (2 papers)
- Journals
- IEEE AccessInternational Journal of Environmental Research and Public HealthApplied Thermal Engineering
- Partner nations
- Thailand
In The Last Decade
Apirat Wanichsombat
7 papers receiving 501 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Plant Science 316
- Computer Networks and Communications 112
- Electrical and Electronic Engineering 104
- Water Science and Technology 95
- Information Systems 61
Countries citing papers authored by Apirat Wanichsombat
This map shows the geographic impact of Apirat Wanichsombat'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 Apirat Wanichsombat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apirat Wanichsombat more than expected).
Fields of papers citing papers by Apirat Wanichsombat
This network shows the impact of papers produced by Apirat Wanichsombat. 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 Apirat Wanichsombat. The network helps show where Apirat Wanichsombat may publish in the future.
Co-authorship network of co-authors of Apirat Wanichsombat
This figure shows the co-authorship network connecting the top 25 collaborators of Apirat Wanichsombat. A scholar is included among the top collaborators of Apirat Wanichsombat 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 Apirat Wanichsombat. Apirat Wanichsombat 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 | 2 | |
| 3 | 13 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | IoT and agriculture data analysis for smart farmbreakdown → | 483 |
About Apirat Wanichsombat
Apirat Wanichsombat is a scholar working on Aquatic Science, Computational Theory and Mathematics and Soil Science, having authored 9 papers that have together received 543 indexed citations. Recurring topics across this work include Smart Agriculture and AI (3 papers), Greenhouse Technology and Climate Control (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Plant Science (316 citations), Water Science and Technology (95 citations) and Computer Networks and Communications (112 citations). Apirat Wanichsombat has collaborated with scholars based in Thailand. Frequent co-authors include Jirapond Muangprathub, Siriwan Kajornkasirat, Nathaphon Boonnam, Theera Srisawat, Veera Boonjing, Boonyarach Kitiyanan, Nurak Grisdanurak, Pongtanawat Khemthong, Kajornsak Faungnawakij and Pramoch Rangsunvigit. Their work appears in journals such as IEEE Access, International Journal of Environmental Research and Public Health and Applied Thermal 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.