Pradorn Sureephong

122 total papers · 722 total citations
58 papers, 346 citations indexed

About

Pradorn Sureephong is a scholar working on Information Systems, Developmental and Educational Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pradorn Sureephong has authored 58 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Developmental and Educational Psychology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pradorn Sureephong's work include Educational Games and Gamification (9 papers), Human Motion and Animation (8 papers) and Video Analysis and Summarization (7 papers). Pradorn Sureephong is often cited by papers focused on Educational Games and Gamification (9 papers), Human Motion and Animation (8 papers) and Video Analysis and Summarization (7 papers). Pradorn Sureephong collaborates with scholars based in Thailand, United Kingdom and France. Pradorn Sureephong's co-authors include Qasim Zeeshan Ahmed, Aïcha Sekhari, Temitope Alade, Abdelaziz Bouras, Kitti Puritat, Abdelhak Belhi, Pavlos I. Lazaridis, Waqas Bin Abbas, Kannikar Intawong and Maryam Hafeez and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Pradorn Sureephong

47 papers receiving 324 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pradorn Sureephong 85 63 43 42 40 58 346
Mohd Nizam Husen 84 1.0× 43 0.7× 17 0.4× 35 0.8× 88 2.2× 38 338
Jan Nikodem 79 0.9× 40 0.6× 30 0.7× 34 0.8× 62 1.6× 43 329
Rafael Vidal Aroca 55 0.6× 38 0.6× 42 1.0× 44 1.0× 61 1.5× 38 384
Oskar Casquero 48 0.6× 16 0.3× 82 1.9× 28 0.7× 14 0.3× 28 358
Adhi Susanto 32 0.4× 87 1.4× 76 1.8× 14 0.3× 74 1.9× 91 402
Plamen Zahariev 52 0.6× 31 0.5× 21 0.5× 62 1.5× 107 2.7× 54 364
Chunling Sun 28 0.3× 37 0.6× 53 1.2× 45 1.1× 15 0.4× 37 321
Paúl D. Rosero-Montalvo 47 0.6× 50 0.8× 19 0.4× 6 0.1× 53 1.3× 43 335
Søren Hansen 17 0.2× 31 0.5× 13 0.3× 72 1.7× 19 0.5× 52 373
Shamimul Qamar 64 0.8× 22 0.3× 76 1.8× 13 0.3× 52 1.3× 49 350

Countries citing papers authored by Pradorn Sureephong

Since Specialization
Citations

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

Fields of papers citing papers by Pradorn Sureephong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradorn Sureephong

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

All Works

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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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