Daeyeon Kim

1.4k citations
54 papers · 1.1k indexed · h-index 16
Topics
Semiconductor materials and devices (16 papers)Advancements in Semiconductor Devices and Circuit Design (15 papers)Low-power high-performance VLSI design (15 papers)

In The Last Decade

Daeyeon Kim

48 papers receiving 1.0k citations

Peers

Daeyeon Kim
Comparison fields: 5 of 67
  • Electrical and Electronic Engineering 905
  • Biomedical Engineering 221
  • Hardware and Architecture 156
  • Mechanical Engineering 135
  • Computer Networks and Communications 112
Replace Minsu Choi with:
Minsu Choi United States
Tom J. Kázmierski United Kingdom
R. Canegallo Italy
Rajendra Patrikar India
Viera Stopjaková Slovakia
Matthew Fojtik United States
Michael Wieckowski United States
Xiaosen Liu United States
Kartikeya Mayaram United States
David Blaauw United States
Daeyeon Kim relative to Minsu Choi United States Minsu Choi's profile →
Citations per field
00.5×2.9×
Minsu Choi · 1×
Citations per year

Countries citing papers authored by Daeyeon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daeyeon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daeyeon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Daeyeon Kim. A scholar is included among the top collaborators of Daeyeon 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 Daeyeon Kim. Daeyeon 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 1
3 1
4 1
5 2
6 47
7 3
8 1
9 26
10 5
11 1
12 8
13 27
14
Resource Allocation Algorithm for Multicasting Compressed Video Packets over OFDM Channel
0
15 6
16 36
17 159
18 130
19
Development and Application of Cost Model for Korea-Specific Launch Vehicle and Configuration Efficiency Analysis of KSLV-II
4
20 1

About Daeyeon Kim

Daeyeon Kim is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Software, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semiconductor materials and devices (16 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers) and Low-power high-performance VLSI design (15 papers). The work is most often cited by research in Hardware and Architecture (156 citations), Electrical and Electronic Engineering (905 citations) and Biomedical Engineering (221 citations). Daeyeon Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Dennis Sylvester, David Blaauw, Mingoo Seok, Gregory Chen, Yoonmyung Lee, Matthew Fojtik, David Fick, Zhiyoong Foo, Junsun Park and Yu-Shiang Lin. Their work appears in journals such as Communications of the ACM, Small and International Journal of Hydrogen Energy.

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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