Sukree Sinthupinyo
- Artificial Intelligence top 10%
- Sociology and Political Science
- Marketing top 10%
- Information Systems top 10%
- Information Systems and Management top 10%
- Co-authors
- Nuttapol AssarutAchara ChandrachaiBoonserm KijsirikulAnn Suwaree AshtonPattarawan PrasarnphanichWasan Pattara-AtikomTakashi OkadaPrabhas Chongstitvatana
- Topics
- Digital Marketing and Social Media (6 papers)Complex Network Analysis Techniques (5 papers)Text and Document Classification Technologies (5 papers)
- Partner nations
- ThailandJapanUnited States
In The Last Decade
Sukree Sinthupinyo
48 papers receiving 304 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 123
- Sociology and Political Science 82
- Marketing 52
- Information Systems 46
- Information Systems and Management 40
Countries citing papers authored by Sukree Sinthupinyo
This map shows the geographic impact of Sukree Sinthupinyo'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 Sukree Sinthupinyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukree Sinthupinyo more than expected).
Fields of papers citing papers by Sukree Sinthupinyo
This network shows the impact of papers produced by Sukree Sinthupinyo. 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 Sukree Sinthupinyo. The network helps show where Sukree Sinthupinyo may publish in the future.
Co-authorship network of co-authors of Sukree Sinthupinyo
This figure shows the co-authorship network connecting the top 25 collaborators of Sukree Sinthupinyo. A scholar is included among the top collaborators of Sukree Sinthupinyo 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 Sukree Sinthupinyo. Sukree Sinthupinyo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | New Product Development Co Creation Process A Thai Case of Micro Community Enterprises of Non-Food Herbal Products and R&D Government Organizations | 2 |
| 8 | 5 | |
| 9 | 2 | |
| 10 | Development Indicator Factors of Thai Engineering Graduates in Innovation: Testing Measurement Invariance by Low and High Level of Innovation Work Experience | 1 |
| 11 | The Empirical Analysis on Supply Chain Risk Management With Firm Capability Perspective of Thailand Automotive Industry | 1 |
| 12 | 4 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | User recognition via keystroke latencies using SOM and Backpropagation Neural Network | 0 |
| 19 | 2 | |
| 20 | 7 |
About Sukree Sinthupinyo
Sukree Sinthupinyo is a scholar working on Communication, Artificial Intelligence and Organizational Behavior and Human Resource Management, having authored 57 papers that have together received 323 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (6 papers), Complex Network Analysis Techniques (5 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Information Systems and Management (40 citations), Marketing (52 citations) and Artificial Intelligence (123 citations). Sukree Sinthupinyo has collaborated with scholars based in Thailand, Japan and United States. Frequent co-authors include Nuttapol Assarut, Achara Chandrachai, Boonserm Kijsirikul, Ann Suwaree Ashton, Pattarawan Prasarnphanich, Wasan Pattara-Atikom, Takashi Okada, Prabhas Chongstitvatana, Masayuki Numao and Cholwich Nattee. Their work appears in journals such as Sustainability, Machine Learning and Knowledge-Based Systems.
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.