Daekyeong Moon

630 total citations
12 papers, 431 citations indexed

About

Daekyeong Moon is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Daekyeong Moon has authored 12 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Daekyeong Moon's work include Network Security and Intrusion Detection (4 papers), Cloud Computing and Resource Management (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). Daekyeong Moon is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Cloud Computing and Resource Management (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). Daekyeong Moon collaborates with scholars based in United States and South Korea. Daekyeong Moon's co-authors include Scott Shenker, Teemu Koponen, Hari Balakrishnan, Nick Feamster, David G. Andersen, Martín Casado, Rodrigo Fonseca, Ion Stoica, Kyriakos Zarifis and Brandon Heller and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Applied Sciences and Figshare.

In The Last Decade

Daekyeong Moon

11 papers receiving 405 citations

Peers

Daekyeong Moon
Comparison fields: 5 of 20
  • Computer Networks and Communications 410
  • Artificial Intelligence 162
  • Electrical and Electronic Engineering 82
  • Hardware and Architecture 52
  • Information Systems 50
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Igor Ganichev United States
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Citations per field, relative to Daekyeong Moon
Daekyeong Moon · 1×
Citations per year, relative to Daekyeong Moon
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Countries citing papers authored by Daekyeong Moon

Since Specialization
Citations

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

Fields of papers citing papers by Daekyeong Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daekyeong Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Daekyeong Moon. A scholar is included among the top collaborators of Daekyeong Moon 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 Daekyeong Moon. Daekyeong Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 3
2 0
3 1
4 18
5 6
6
Minuet: rethinking concurrency control in storage area networks
2
7 182
8
Rethinking Packet Forwarding Hardware.
44
9
Accountable Internet Protocol
13
10 145
11 12
12 5

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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