Kelvin Sung

147 total papers · 784 total citations
58 papers, 492 citations indexed

About

Kelvin Sung is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kelvin Sung has authored 58 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Science Applications, 24 papers in Developmental and Educational Psychology and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kelvin Sung's work include Teaching and Learning Programming (27 papers), Educational Games and Gamification (24 papers) and Digital Games and Media (12 papers). Kelvin Sung is often cited by papers focused on Teaching and Learning Programming (27 papers), Educational Games and Gamification (24 papers) and Digital Games and Media (12 papers). Kelvin Sung collaborates with scholars based in United States, Singapore and Canada. Kelvin Sung's co-authors include Peter Shirley, Andrew Péarce, Ruth Anderson, R. Robert Rosenberg, Scott Wallace, Edward Angel, Arjmand Samuel, Steve Cunningham, Hazeline U. Asuncion and David Socha and has published in prestigious journals such as Communications of the ACM, Computer and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Kelvin Sung

57 papers receiving 461 citations

Author Peers

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

Author Last Decade Papers Cites
Kelvin Sung 238 206 144 100 80 58 492
Ulrich Kortenkamp 57 0.2× 76 0.4× 43 0.3× 34 0.3× 24 0.3× 46 427
Inmaculada Rodríguez 60 0.3× 89 0.4× 81 0.6× 12 0.1× 53 0.7× 61 425
Ketan Mayer‐Patel 36 0.2× 29 0.1× 247 1.7× 38 0.4× 146 1.8× 59 487
C. Glez-Morcillo 54 0.2× 112 0.5× 149 1.0× 14 0.1× 12 0.1× 57 545
Rong‐Chi Chang 19 0.1× 96 0.5× 322 2.2× 35 0.3× 17 0.2× 53 481
Daniel D. Garcia 296 1.2× 113 0.5× 38 0.3× 9 0.1× 24 0.3× 69 481
Reuben Edwards 49 0.2× 53 0.3× 178 1.2× 10 0.1× 115 1.4× 51 530
Jean–Marc Robert 31 0.1× 36 0.2× 62 0.4× 70 0.7× 62 0.8× 44 528
J. Michael Moshell 18 0.1× 61 0.3× 185 1.3× 98 1.0× 13 0.2× 36 537
V. Javier Traver 46 0.2× 27 0.1× 233 1.6× 11 0.1× 12 0.1× 44 498

Countries citing papers authored by Kelvin Sung

Since Specialization
Citations

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

Fields of papers citing papers by Kelvin Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelvin Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Kelvin Sung. A scholar is included among the top collaborators of Kelvin Sung 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 Kelvin Sung. Kelvin Sung 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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