Chonggun Kim

30 papers receiving 296 citations

Peers

Chonggun Kim
Comparison fields: 5 of 54
  • Computer Networks and Communications 249
  • Information Systems 130
  • Hardware and Architecture 56
  • Electrical and Electronic Engineering 48
  • Management Science and Operations Research 39
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Damiano Carra Italy
S. Srbljic Croatia
Qiaomin Xie United States
Ilia Petrov Germany
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Citations per field
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Citations per year

Countries citing papers authored by Chonggun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chonggun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chonggun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chonggun Kim. A scholar is included among the top collaborators of Chonggun 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 Chonggun Kim. Chonggun 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
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Understanding User Behaviors in Social Networking Service for Mobile Learning: a Case Study with Twitter
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5 2
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7 3
8
An Analysis of Academic Achievement of University Students based on an U-CLASS System
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9
Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
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10 5
11 14
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A MAC scheme for avoiding inter-cluster collisions in wireless sensor networks
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13 3
14
Effects of Valid Source-Destination Edges for Node-Disjoint Multipaths on AD HOC Networks.
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15
Performance analyses of path recovery routing protocols in AD HOC networks
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An Energy-Efficient Data Aggregation using Hierarchical Filtering in Sensor Network
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A discovery method for node-disjoint multi-paths by valid source-destination edges
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Parametric Analysis of Static Load Balancing of Multi-Class Jobs in a Distributed Computer System
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About Chonggun Kim

Chonggun Kim is a scholar working on Computer Networks and Communications, Hardware and Architecture and Health Information Management, having authored 37 papers that have together received 329 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (18 papers), Opportunistic and Delay-Tolerant Networks (12 papers) and Energy Efficient Wireless Sensor Networks (10 papers). The work is most often cited by research in Computer Networks and Communications (249 citations), Hardware and Architecture (56 citations) and Information Systems (130 citations). Chonggun Kim has collaborated with scholars based in South Korea, Japan and Poland. Frequent co-authors include Hisao Kameda, Yongbing Zhang, Jie Li, Il-Kyu Ha, Tae‐Ho Yoon, Elmurod Talipov, Jeongmi Kim, Hyunjin Park, Myun-Whan Ahn and Zhipeng Liu. Their work appears in journals such as IEEE Transactions on Computers, Journal of Network and Computer Applications and Concurrency and Computation Practice and Experience.

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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