Jong Kim

1.6k citations
80 papers · 1.1k · h-index 16

Impact in

Papers in

    • Interconnection Networks and Systems 26
    • Distributed and Parallel Computing Systems 18
    • Distributed systems and fault tolerance 14
    • IoT and Edge/Fog Computing 7
    • Parallel Computing and Optimization Techniques 18
    • Real-Time Systems Scheduling 11
    • Embedded Systems Design Techniques 9

Jong Kim

76 papers receiving 1.0k citations

Peers

Jong Kim
Comparison fields: 5 of 61
  • Hardware and Architecture 366
  • Computer Networks and Communications 855
  • Information Systems 471
  • Signal Processing 119
  • Artificial Intelligence 166
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Citations per field
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Citations per year

Countries citing papers authored by Jong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jong 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 Jong Kim Line = papers co-authored together Jong Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007233
2
WarningBird: Detecting Suspicious URLs in Twitter Stream.
2012108
3 199495
4 201733
5 200232
6 201532
7 200831
8 202129
9 199826
10 200326
11
A Processor Allocation Scheme for Hypercube Computers.
198924
12 201322
13 199322
14 199722
15 200521
16 201716
17 200215
18 200514
19 201214
20 201813

About Jong Kim

Jong Kim is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Electrical and Electronic Engineering, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (26 papers), Distributed and Parallel Computing Systems (18 papers), Parallel Computing and Optimization Techniques (18 papers), Distributed systems and fault tolerance (14 papers), Real-Time Systems Scheduling (11 papers), Cloud Computing and Resource Management (9 papers), Embedded Systems Design Techniques (9 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Hardware and Architecture (366 citations), Computer Networks and Communications (855 citations), Information Systems (471 citations), Signal Processing (119 citations) and Artificial Intelligence (166 citations). Jong Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Kyong Hoon Kim, Rajkumar Buyya, Chita R. Das, Sang-Ho Lee, Sung Je Hong, Sunggu Lee, Sangho Lee, Woei Lin, Chansu Yu and Hanjun Kim. Their work appears in journals such as Journal of Parallel and Distributed Computing, Journal of Systems and Software, Computer Communications, IEEE Micro and IEEE Access.

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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