Chonlameth Arpnikanondt
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- Technology Adoption and User Behaviour 6
- Human-Computer Interaction top 10%
- Marketing top 10%
- Sharing Economy and Platforms 3
- Artificial Intelligence top 10%
- AI in Service Interactions 3
- Speech and dialogue systems 2
- Computer Science Applications top 10%
- Online Learning and Analytics 4
- Teaching and Learning Programming 3
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- Digital Marketing and Social Media 4
- Privacy, Security, and Data Protection 3
- Co-authors
- Debajyoti PalSuree FunilkulMohammad A. RazzaqueWichian ChutimaskulBorworn PapasratornVijayakumar VaradarajanBunthit WatanapaHimanshu Thapliyal
- Journals
- Computers in Human Behavior (1 paper)IEEE Access (2 papers)IEEE Internet of Things Journal (1 paper)
- Partner nations
- ThailandUnited KingdomUnited States
In The Last Decade
Chonlameth Arpnikanondt
25 papers receiving 441 citations
Peers
Comparison fields: 5 of 94
- Information Systems and Management 154
- Human-Computer Interaction 46
- Marketing 73
- Artificial Intelligence 181
- Computer Science Applications 30
Countries citing papers authored by Chonlameth Arpnikanondt
This map shows the geographic impact of Chonlameth Arpnikanondt'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 Chonlameth Arpnikanondt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chonlameth Arpnikanondt more than expected).
Fields of papers citing papers by Chonlameth Arpnikanondt
This network shows the impact of papers produced by Chonlameth Arpnikanondt. 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 Chonlameth Arpnikanondt. The network helps show where Chonlameth Arpnikanondt may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Chonlameth Arpnikanondt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 39 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 46 | |
| 8 | 2021 | 24 | |
| 9 | 2020 | 64 | |
| 10 | 2020 | 12 | |
| 11 | 2020 | 7 | |
| 12 | 2019 | 25 | |
| 13 | 2019 | 28 | |
| 14 | 2018 | 4 | |
| 15 | 2017 | 2 | |
| 16 | 2016 | 3 | |
| 17 | 2016 | 9 | |
| 18 | 2012 | 4 | |
| 19 | 2012 | 3 | |
| 20 | 2005 | 10 |
About Chonlameth Arpnikanondt
Chonlameth Arpnikanondt is a scholar working on Information Systems and Management, Computer Science Applications and Marketing, having authored 28 papers that have together received 457 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (6 papers), Online Learning and Analytics (4 papers), Digital Marketing and Social Media (4 papers), Teaching and Learning Programming (3 papers), Privacy, Security, and Data Protection (3 papers), Sharing Economy and Platforms (3 papers), AI in Service Interactions (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Information Systems and Management (154 citations), Human-Computer Interaction (46 citations) and Marketing (73 citations). Chonlameth Arpnikanondt has collaborated with scholars based in Thailand, United Kingdom and United States. Frequent co-authors include Debajyoti Pal, Suree Funilkul, Mohammad A. Razzaque, Wichian Chutimaskul, Borworn Papasratorn, Vijayakumar Varadarajan, Bunthit Watanapa, Himanshu Thapliyal, Vajirasak Vanijja and Pranab Roy. Their work appears in journals such as Computers in Human Behavior, IEEE Access and IEEE Internet of Things Journal.
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.