Juho Kim

5.8k citations
184 papers · 3.4k indexed · 1 hit paper · h-index 25
Topics
Online Learning and Analytics (26 papers)Video Analysis and Summarization (21 papers)Mobile Crowdsensing and Crowdsourcing (21 papers)

In The Last Decade

Juho Kim

167 papers receiving 3.2k citations

Hit Papers

How video production affects student engagement201420262018202220142505007501000

Peers

Juho Kim
Comparison fields: 5 of 143
  • Computer Science Applications 1.4k
  • Education 924
  • Artificial Intelligence 724
  • Computer Vision and Pattern Recognition 531
  • Information Systems 487
Replace Marian Petre with:
Marian Petre United Kingdom
Andrés Monroy‐Hernández United States
Marcus Specht Netherlands
Marek Hatala Canada
Kshitij Sharma Norway
Yannis Dimitriadis Spain
Rosemary Luckin United Kingdom
Matt Bower Australia
Daniel Burgos Spain
Erkki Sutinen Finland
Juho Kim relative to Marian Petre United Kingdom Marian Petre's profile →
Citations per field
00.5×4.1×
Marian Petre · 1×
Citations per year

Countries citing papers authored by Juho Kim

Since Specialization
Citations

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

Fields of papers citing papers by Juho Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juho Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Juho Kim. A scholar is included among the top collaborators of Juho 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 Juho Kim. Juho 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 1
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5 11
6 4
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8 2
9 6
10 1
11 19
12 29
13 23
14 28
15 4
16 14
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Exprgram: A Video-based Language Learning Interface Powered by Learnersourced Video Annotations
1
19
Communication Performance Analysis according to Seasons in West Sea
0
20
Performance of Underwater Communication in Low Salinity Layer at the Western Sea of Jeju
1

About Juho Kim

Juho Kim is a scholar working on Computer Science Applications, Human-Computer Interaction and Artificial Intelligence, having authored 184 papers that have together received 3.4k indexed citations. Recurring topics across this work include Online Learning and Analytics (26 papers), Video Analysis and Summarization (21 papers) and Mobile Crowdsensing and Crowdsourcing (21 papers). The work is most often cited by research in Computer Science Applications (1.4k citations), Human-Computer Interaction (367 citations) and Developmental and Educational Psychology (403 citations). Juho Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Philip J. Guo, Krzysztof Z. Gajos, Robert C. Miller, Piotr Mitros, Daniel Seaton, Minsuk Chang, Walter S. Lasecki, Sang Guun Yoo, Joseph Jay Williams and Shang-Wen Li. Their work appears in journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

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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