Patcharin Panjaburee

1.5k total citations
72 papers, 1.0k citations indexed

About

Patcharin Panjaburee is a scholar working on Information Systems, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Patcharin Panjaburee has authored 72 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Information Systems, 44 papers in Developmental and Educational Psychology and 34 papers in Computer Science Applications. Recurrent topics in Patcharin Panjaburee's work include Mobile Learning in Education (28 papers), Innovative Teaching and Learning Methods (26 papers) and Online Learning and Analytics (23 papers). Patcharin Panjaburee is often cited by papers focused on Mobile Learning in Education (28 papers), Innovative Teaching and Learning Methods (26 papers) and Online Learning and Analytics (23 papers). Patcharin Panjaburee collaborates with scholars based in Thailand, Taiwan and United States. Patcharin Panjaburee's co-authors include Niwat Srisawasdi, Gwo‐Jen Hwang, Wannapong Triampo, Ugyen Dorji, Ching‐Yi Chang, Chiu‐Lin Lai, Hui‐Chen Lin, Gwo‐Haur Hwang, Shao‐Chen Chang and Pintip Ruenwongsa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers & Education.

In The Last Decade

Patcharin Panjaburee

62 papers receiving 966 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patcharin Panjaburee Thailand 18 516 455 398 351 105 72 1.0k
Tzu‐Chi Yang Taiwan 12 300 0.6× 372 0.8× 335 0.8× 291 0.8× 119 1.1× 27 823
Niwat Srisawasdi Thailand 18 623 1.2× 362 0.8× 292 0.7× 199 0.6× 71 0.7× 69 961
Chun‐Ming Hung Taiwan 10 526 1.0× 708 1.6× 370 0.9× 324 0.9× 71 0.7× 13 1.2k
Young Hoan Cho South Korea 13 501 1.0× 307 0.7× 143 0.4× 249 0.7× 129 1.2× 50 945
Han‐Yu Sung Taiwan 15 502 1.0× 850 1.9× 421 1.1× 433 1.2× 157 1.5× 25 1.4k
Andrew A. Tawfik United States 18 602 1.2× 318 0.7× 145 0.4× 241 0.7× 70 0.7× 73 1.0k
Qing-Ke Fu China 11 427 0.8× 319 0.7× 301 0.8× 137 0.4× 88 0.8× 12 828
Robert Bodily United States 14 482 0.9× 253 0.6× 182 0.5× 663 1.9× 107 1.0× 20 1000
Louis Major United Kingdom 13 546 1.1× 313 0.7× 264 0.7× 182 0.5× 49 0.5× 37 947
Ahmed Mohamed Fahmy Yousef Egypt 16 389 0.8× 175 0.4× 211 0.5× 557 1.6× 80 0.8× 41 909

Countries citing papers authored by Patcharin Panjaburee

Since Specialization
Citations

This map shows the geographic impact of Patcharin Panjaburee'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 Patcharin Panjaburee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patcharin Panjaburee more than expected).

Fields of papers citing papers by Patcharin Panjaburee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patcharin Panjaburee. 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 Patcharin Panjaburee. The network helps show where Patcharin Panjaburee may publish in the future.

Co-authorship network of co-authors of Patcharin Panjaburee

This figure shows the co-authorship network connecting the top 25 collaborators of Patcharin Panjaburee. A scholar is included among the top collaborators of Patcharin Panjaburee 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 Patcharin Panjaburee. Patcharin Panjaburee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Srisawasdi, Niwat, et al.. (2025). Plastic Detective: A Citizen Inquiry Mobile App for Promoting Chemistry Learning about the Circular Plastic Economy. Journal of Chemical Education. 102(9). 4123–4129.
2.
Panjaburee, Patcharin, et al.. (2024). An Online Personalized Learning System with Ongoing Learning Experience Adaptation: A Prototype System for STEM Discipline. International Conference on Computers in Education.
3.
Panjaburee, Patcharin, et al.. (2024). Predictors of active and inactive learners' intention to use decision tree-based contextual mobile games for cultivating digital citizenship behaviour. International Journal of Mobile Learning and Organisation. 19(1). 1–32. 1 indexed citations
4.
5.
Panjaburee, Patcharin. (2024). Design and Assessment of a Personalized Online Mathematics Learning System with Self-Regulated Learning Features: An Educational Design Research. International Journal of Information and Education Technology. 14(3). 464–475.
6.
Panjaburee, Patcharin, et al.. (2024). AI-Driven Recommendations for Digital Majors Based on Learning Styles. 7. 1–5.
7.
Panjaburee, Patcharin, et al.. (2024). Fostering student competencies and perceptions through artificial intelligence of things educational platform. Computers and Education Artificial Intelligence. 7. 100308–100308. 5 indexed citations
8.
9.
Panjaburee, Patcharin, et al.. (2023). Effects of a self-regulated-based gamified virtual reality system on students’ English learning performance and affection. Interactive Learning Environments. 32(9). 5509–5536. 20 indexed citations
10.
11.
Panjaburee, Patcharin, et al.. (2023). A duplex adaptation mechanism in the personalized learning environment. Journal of Computers in Education. 11(4). 1111–1131. 3 indexed citations
12.
Panjaburee, Patcharin, et al.. (2023). Trends of Adaptive/Personalized Learning and Intelligent Tutoring Systems in Mathematics: A Review of Academic Publications from 2010 to 2022. SHILAP Revista de lepidopterología. 34–34. 1 indexed citations
13.
Panjaburee, Patcharin, et al.. (2021). Implementation of an Andragogical Teacher Professional Development Training Program for Boosting TPACK in STEM Education: The Essential Role of a Personalized Learning System. SHILAP Revista de lepidopterología. 10 indexed citations
14.
Panjaburee, Patcharin, et al.. (2020). Effects of a formative assessment-based contextual gaming approach on students’ digital citizenship behaviours, learning motivations, and perceptions. Computers & Education. 159. 103998–103998. 83 indexed citations
15.
Panjaburee, Patcharin, et al.. (2020). Moderating effects of gender differences on the relationships between perceived learning support, intention to use, and learning performance in a personalized e-learning. Journal of Computers in Education. 7(2). 229–255. 56 indexed citations
16.
Dorji, Ugyen, Patcharin Panjaburee, & Niwat Srisawasdi. (2015). A Learning Cycle Approach to Developing Educational Computer Game for Improving Students' Learning and Awareness in Electric Energy Consumption and Conservation. Educational Technology & Society. 18(1). 91–105. 29 indexed citations
17.
Srisawasdi, Niwat & Patcharin Panjaburee. (2015). Personal Learning Activity Approach for Developing Adaptive Web-based Learning Systems. International Conference on Computers in Education. 1 indexed citations
18.
Srisawasdi, Niwat & Patcharin Panjaburee. (2014). Do They Keep Technology in Mind? An Implementation of TPACK-oriented Science Teacher Program for Science Degree-graduated Students. International Conference on Computers in Education.
19.
Panjaburee, Patcharin, et al.. (2013). A 5E Learning Cycle Approach-Based, Multimedia-Supplemented Instructional Unit for Structured Query Language.. Educational Technology & Society. 16(4). 146–159. 12 indexed citations
20.
Ruenwongsa, Pintip, et al.. (2011). Promoting Students’ Understanding of SQL in a Database Management Course: A Learning Cycle Approach. The International Journal of Learning Annual Review. 17(11). 325–338. 1 indexed citations

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.

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