Khongdet Phasinam
- Plant Science top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Co-authors
- Thanwamas KassanukHarikumar PallathadkaGuna Sekhar SajjaChetan M. ThakarEdwin Ramirez-AsísRandy Joy Magno VentayenMohd NavedMohammad Shabaz
- Topics
- Smart Agriculture and AI (11 papers)IoT and Edge/Fog Computing (7 papers)Internet of Things and AI (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaSoft ComputingWireless Personal Communications
- Partner nations
- ThailandIndiaUnited States
In The Last Decade
Khongdet Phasinam
37 papers receiving 844 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Plant Science 219
- Information Systems 157
- Computer Networks and Communications 146
- Artificial Intelligence 133
- Computer Science Applications 89
Countries citing papers authored by Khongdet Phasinam
This map shows the geographic impact of Khongdet Phasinam'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 Khongdet Phasinam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khongdet Phasinam more than expected).
Fields of papers citing papers by Khongdet Phasinam
This network shows the impact of papers produced by Khongdet Phasinam. 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 Khongdet Phasinam. The network helps show where Khongdet Phasinam may publish in the future.
Co-authorship network of co-authors of Khongdet Phasinam
This figure shows the co-authorship network connecting the top 25 collaborators of Khongdet Phasinam. A scholar is included among the top collaborators of Khongdet Phasinam 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 Khongdet Phasinam. Khongdet Phasinam 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 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | A study on dysmenorrhea in female undergraduate students at Mae Fah Luang University applying the Mahachotarat scripture of Thai traditional medicine | 1 |
| 10 | 18 | |
| 11 | 3 | |
| 12 | 31 | |
| 13 | 6 | |
| 14 | 35 | |
| 15 | 19 | |
| 16 | 19 | |
| 17 | 14 | |
| 18 | 91 | |
| 19 | 1 | |
| 20 | 35 |
About Khongdet Phasinam
Khongdet Phasinam is a scholar working on Medical Laboratory Technology, Computer Science Applications and Business and International Management, having authored 41 papers that have together received 906 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), IoT and Edge/Fog Computing (7 papers) and Internet of Things and AI (6 papers). The work is most often cited by research in Computer Science Applications (89 citations), Health Information Management (39 citations) and Information Systems (157 citations). Khongdet Phasinam has collaborated with scholars based in Thailand, India and United States. Frequent co-authors include Thanwamas Kassanuk, Harikumar Pallathadka, Guna Sekhar Sajja, Chetan M. Thakar, Edwin Ramirez-Asís, Randy Joy Magno Ventayen, Mohd Naved, Mohammad Shabaz, Ankit Jain and G. Murugesan. Their work appears in journals such as SHILAP Revista de lepidopterología, Soft Computing and Wireless Personal Communications.
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.