Joonseok Lee

2.6k total citations
40 papers, 782 citations indexed

About

Joonseok Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Joonseok Lee has authored 40 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Joonseok Lee's work include Recommender Systems and Techniques (9 papers), Multimodal Machine Learning Applications (8 papers) and Video Analysis and Summarization (6 papers). Joonseok Lee is often cited by papers focused on Recommender Systems and Techniques (9 papers), Multimodal Machine Learning Applications (8 papers) and Video Analysis and Summarization (6 papers). Joonseok Lee collaborates with scholars based in United States, South Korea and Canada. Joonseok Lee's co-authors include Guy Lebanon, Yoram Singer, Seungyeon Kim, Samy Bengio, Margaret Mitchell, Emily Denton, Timnit Gebru, Joy Buolamwini, Inioluwa Deborah Raji and Sami Abu-El-Haija and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Machine Learning Research and Knowledge and Information Systems.

In The Last Decade

Joonseok Lee

36 papers receiving 756 citations

Peers

Joonseok Lee
Comparison fields: 5 of 100
  • Information Systems 341
  • Artificial Intelligence 316
  • Computer Vision and Pattern Recognition 275
  • Management Science and Operations Research 75
  • Safety Research 52
Replace Jeffrey M. Rzeszotarski with:
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Jeffrey M. Rzeszotarski United States View profile →
Citations per field, relative to Joonseok Lee
Joonseok Lee · 1×
Citations per year, relative to Joonseok Lee
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Countries citing papers authored by Joonseok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Joonseok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joonseok Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Joonseok Lee. A scholar is included among the top collaborators of Joonseok Lee 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 Joonseok Lee. Joonseok Lee 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
# Work Indexed citations
1 0
2 1
3 10
4 5
5 0
6 1
7 8
8 6
9 13
10 1
11 3
12 23
13
Learning to focus and track extreme climate events
1
14 1
15 1
16
LLORMA: local low-rank matrix approximation
53
17 13
18 87
19
Local Low-Rank Matrix Approximation
94
20
PREA: personalized recommendation algorithms toolkit
35

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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