Youngjin Kwon

930 citations
47 papers · 599 · h-index 13

Impact in

Papers in

Youngjin Kwon

42 papers receiving 578 citations

Peers

Youngjin Kwon
Comparison fields: 5 of 38
  • Hardware and Architecture 321
  • Computer Networks and Communications 457
  • Information Systems 272
  • Software 12
  • Signal Processing 30
Replace Ulrich Drepper with:
Ulrich Drepper United States
Srinivas Narayana United States
Young Ik Eom South Korea
Kevin O’Brien United States
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Naga Praveen Kumar Katta United States
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Jad Naous United States
Manuel F. Dolz Spain
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Citations per field
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Citations per year

Countries citing papers authored by Youngjin Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Youngjin Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017117
2 201695
3 202155
4
PerfIso: performance isolation for commercial latency-sensitive services
201839
5 200828
6 201125
7 202023
8 202021
9 201619
10
Assise: Performance and Availability via Client-local {NVM} in a Distributed File System
202016
11 202016
12 197114
13
TxFS: Leveraging File-System Crash Consistency to Provide {ACID} Transactions
201812
14
{AGAMOTTO}: How Persistent is your Persistent Memory Application?
202010
15 201710
16 20239
17
Libnvmmio: Reconstructing Software {IO} Path with Failure-Atomic Memory-Mapped Interface
20208
18
Zico: Efficient {GPU} Memory Sharing for Concurrent {DNN} Training
20217
19 20196
20 20235

About Youngjin Kwon

Youngjin Kwon is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 47 papers that have together received 599 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Advanced Data Storage Technologies (20 papers), Cloud Computing and Resource Management (13 papers), Distributed systems and fault tolerance (9 papers), Security and Verification in Computing (7 papers), Power Systems Fault Detection (7 papers), HVDC Systems and Fault Protection (5 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Hardware and Architecture (321 citations), Computer Networks and Communications (457 citations), Information Systems (272 citations), Software (12 citations) and Signal Processing (30 citations). Youngjin Kwon has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Emmett Witchel, Simon Peter, Thomas E. Anderson, Christopher J. Rossbach, Tyler Hunt, Jaehyuk Huh, Seungryoul Maeng, Jongyul Kim, Marco Canini and Dejan Kostić. Their work appears in journals such as Nagoya Mathematical Journal, Annales de l’institut Fourier, IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing and ACM Transactions on Storage.

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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