Soo‐Mook Moon

1.6k citations
101 papers · 980 · h-index 15

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Real-Time Systems Scheduling
  • Software top 5%
    • Software Testing and Debugging Techniques

Papers in

Soo‐Mook Moon

95 papers receiving 919 citations

Peers

Soo‐Mook Moon
Comparison fields: 5 of 51
  • Hardware and Architecture 589
  • Software 142
  • Computer Networks and Communications 500
  • Computer Vision and Pattern Recognition 172
  • Artificial Intelligence 232
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Citations per field
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Citations per year

Countries citing papers authored by Soo‐Mook Moon

Since Specialization
Citations

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

Fields of papers citing papers by Soo‐Mook Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo‐Mook Moon. 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 Soo‐Mook Moon. The network helps show where Soo‐Mook Moon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995158
2 2018113
3 1992100
4 201856
5 199738
6 200433
7 201231
8 200021
9 201517
10 199517
11 200017
12 201916
13 199314
14 200114
15 202014
16 200714
17 199313
18 201812
19 20199
20 20179

About Soo‐Mook Moon

Soo‐Mook Moon is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Information Systems and Software, having authored 101 papers that have together received 980 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (62 papers), Logic, programming, and type systems (27 papers), Software Testing and Debugging Techniques (24 papers), IoT and Edge/Fog Computing (18 papers), Embedded Systems Design Techniques (15 papers), Distributed systems and fault tolerance (14 papers), Real-Time Systems Scheduling (10 papers) and Cloud Computing and Resource Management (9 papers). The work is most often cited by research in Hardware and Architecture (589 citations), Software (142 citations), Computer Networks and Communications (500 citations), Computer Vision and Pattern Recognition (172 citations) and Artificial Intelligence (232 citations). Soo‐Mook Moon has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Kemal Ebci̇oğlu, Kunsoo Park, Sung-Soo Lim, Sang Lyul Min, Chang Yun Park, Heonshik Shin, Chong Sang Kim, Kwang Yong Shin, Seong-Bae Park and Beomjun Kim. Their work appears in journals such as ACM SIGPLAN Notices, Software Practice and Experience, IEEE Transactions on Parallel and Distributed Systems, ACM Transactions on Programming Languages and Systems and ACM Transactions on Embedded Computing Systems.

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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