Mi Song Kim

660 citations
59 papers · 403 indexed · h-index 13
Topics
Innovative Teaching and Learning Methods (16 papers)Literacy, Media, and Education (8 papers)Innovative Education and Learning Practices (6 papers)

In The Last Decade

Mi Song Kim

51 papers receiving 374 citations

Peers

Mi Song Kim
Comparison fields: 5 of 80
  • Education 171
  • Information Systems 82
  • Electrical and Electronic Engineering 74
  • Developmental and Educational Psychology 68
  • Mechanical Engineering 58
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Citations per field
00.5×10×15×20×24.7×
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Citations per year

Countries citing papers authored by Mi Song Kim

Since Specialization
Citations

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

Fields of papers citing papers by Mi Song Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Song Kim. 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 Mi Song Kim. The network helps show where Mi Song Kim may publish in the future.

Co-authorship network of co-authors of Mi Song Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Song Kim. A scholar is included among the top collaborators of Mi Song Kim 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 Mi Song Kim. Mi Song Kim 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
#WorkIndexed citations
1 0
2 3
3 2
4 13
5 7
6
Teacher sensemaking on computational thinking in a community of math teachers
0
7 3
8 2
9 12
10 29
11
Making Young Children's Design Cognition Visible.
1
12 18
13
Competency-based Curriculum for Digital Fabrication and Makerspaces
1
14
Unpacking the Concept of Design ThinkingThrough a Competency-based Curriculum
0
15
Transforming the Learning Difficulties to Teaching Moments
1
16
Teachers as Learning Designers through Teachers' Design Thinking.
1
17
Finding voices and emerging agency in classroom learning
1
18
Toward Leveraging Digital Storytelling for a Participatory Learning Culture
1
19
Creating the intercultural learning narrative using social network sites status updates: An innovative approach in using social media
5
20
Distributed Emotions in the Design of Learning Technologies.
6

About Mi Song Kim

Mi Song Kim is a scholar working on Human Factors and Ergonomics, Computer Science Applications and Developmental and Educational Psychology, having authored 59 papers that have together received 403 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (16 papers), Literacy, Media, and Education (8 papers) and Innovative Education and Learning Practices (6 papers). The work is most often cited by research in Computer Science Applications (49 citations), Education (171 citations) and Developmental and Educational Psychology (68 citations). Mi Song Kim has collaborated with scholars based in Canada, Singapore and South Korea. Frequent co-authors include Won Sik Hong, Chulmin Oh, Beaumie Kim, Chee‐Kit Looi, Shiau Wei Chan, Young‐Seok Kim, David Hung, Weng Kin Ho, Azilawati Jamaludin and Dajung Kim. Their work appears in journals such as Journal of Materials Chemistry A, Computers & Education and Teaching and Teacher Education.

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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