Seung-Jean Kim

34 papers receiving 4.6k citations

Hit Papers

An Interior-Point Method for Large-Scale -Regularized Lea...2006202620122019200720072006200950010001.5k

Peers

Seung-Jean Kim
Comparison fields: 5 of 154
  • Computational Mechanics 1.2k
  • Computer Networks and Communications 1.1k
  • Electrical and Electronic Engineering 1.1k
  • Computer Vision and Pattern Recognition 883
  • Artificial Intelligence 740
Replace Felipe Cucker with:
Felipe Cucker Hong Kong
Albert Cohen France
Elad Hazan United States
Tong Zhang United States
Amos Ron United States
B. K. Natarajan United States
John C. Duchi United States
Jiřı́ Matoušek Czechia
Daniel P. Palomar Hong Kong
Xiaoming Huo United States
Seung-Jean Kim relative to Felipe Cucker Hong Kong Felipe Cucker's profile →
Citations per field
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Felipe Cucker · 1×
Citations per year

Countries citing papers authored by Seung-Jean Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seung-Jean Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seung-Jean Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Jean Kim. A scholar is included among the top collaborators of Seung-Jean 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 Seung-Jean Kim. Seung-Jean 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
Automatic Feature Induction for Stagewise Collaborative Filtering
10
2
$\ell_1$ Trend Filteringbreakdown →
405
3
Robust Beamforming via Worst-Case
2
4 7
5
A Method for Large-Scale l1-Regularized Logistic Regression.
8
6
An Interior-Point Method for Large-Scale l 1 -Regularized Logistic Regression
379
7 45
8 22
9
An Interior-Point Method for Large-Scale '1-Regularized Logistic Regression
75
10 2
11 5
12 5
13 37
14
Distributed average consensus with least-mean-square deviationbreakdown →
784
15
Robust Fisher Discriminant Analysis
69
16 116
17 4
18 2
19 17
20 16

About Seung-Jean Kim

Seung-Jean Kim is a scholar working on Numerical Analysis, Signal Processing and Statistics, Probability and Uncertainty, having authored 35 papers that have together received 4.8k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Direction-of-Arrival Estimation Techniques (5 papers) and Advanced Optimization Algorithms Research (5 papers). The work is most often cited by research in Computational Mechanics (1.2k citations), Signal Processing (522 citations) and Computer Networks and Communications (1.1k citations). Seung-Jean Kim has collaborated with scholars based in United States and South Korea. Frequent co-authors include Stephen Boyd, Kwangmoo Koh, Dimitry Gorinevsky, Michael Lustig, Lin Xiao, Lieven Vandenberghe, Alessandro Magnani, Mark Horowitz, Dinesh Patil and Almir Mutapcic. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and IEEE Transactions on Medical Imaging.

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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