Sukun Kim

2.6k citations
14 papers · 1.9k · 1 hit paper · h-index 9

Impact in

Papers in

Sukun Kim

14 papers receiving 1.7k citations

Sukun Kim's Hit Papers

Health monitoring of civil infrastructures using wireless sensor networks 2007 · 658 citations
6580+6+12Years since publication200400600

Peers

Sukun Kim
Comparison fields: 5 of 75
  • Computer Networks and Communications 1.2k
  • Civil and Structural Engineering 479
  • Electrical and Electronic Engineering 857
  • Pollution 142
  • Ocean Engineering 116
Replace Kirill Mechitov with:
Kirill Mechitov United States
Mohamed H. Ahmed Canada
Mohd Fadlee A. Rasid Malaysia
Vincenzo Paciello Italy
Khairulmizam Samsudin Malaysia
Hejun Wu China
Pal-Stefan Murvay Romania
M. F. Rahmat Malaysia
Krishna Busawon United Kingdom
Marco Carratù Italy
Sukun Kim relative to Kirill Mechitov United States Kirill Mechitov's profile →
Citations per field
00.5×1.5×2.5×
Kirill Mechitov · 1×
Citations per year

Countries citing papers authored by Sukun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sukun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Sukun Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sukun Kim Line = papers co-authored together Sukun Kim links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Health monitoring of civil infrastructures using wireless sensor networks
Hit paper breakdown →
2007658
2 2007267
3 2008216
4 2006199
5 2007173
6 2005137
7 2006105
8 200699
9 200710
10
Wireless sensor networks for high fidelity sampling
20078
11 20093
12 20133
13 20122
14 20121

About Sukun Kim

Sukun Kim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Civil and Structural Engineering, Bioengineering and Pollution, having authored 14 papers that have together received 1.9k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (11 papers), Energy Harvesting in Wireless Networks (4 papers), Network Time Synchronization Technologies (2 papers), Bluetooth and Wireless Communication Technologies (2 papers), Structural Health Monitoring Techniques (2 papers), Advanced Fiber Optic Sensors (2 papers), Mobile Ad Hoc Networks (2 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Civil and Structural Engineering (479 citations), Electrical and Electronic Engineering (857 citations), Pollution (142 citations) and Ocean Engineering (116 citations). Sukun Kim has collaborated with scholars based in United States and South Korea. Frequent co-authors include David Culler, Gregory L. Fenves, Shamim N. Pakzad, James Demmel, Steven D. Glaser, Rodrigo Fonseca, Prabal Dutta, Jaein Jeong, Kamin Whitehouse and C. Sharp. Their work appears in journals such as Journal of Infrastructure Systems, ACM SIGBED Review and UC Berkeley.

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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