Young Ik Eom

912 citations
119 papers · 593 indexed · h-index 13

Impact in

Papers in

    • Parallel Computing and Optimization Techniques 48
    • Advanced Data Storage Technologies 76
    • Caching and Content Delivery 48
    • Peer-to-Peer Network Technologies 15
    • Distributed systems and fault tolerance 11
    • Distributed and Parallel Computing Systems 10

Young Ik Eom

114 papers receiving 573 citations

Peers

Young Ik Eom
Comparison fields: 5 of 38
  • Hardware and Architecture 261
  • Computer Networks and Communications 502
  • Information Systems 180
  • Signal Processing 25
  • Artificial Intelligence 67
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Jinkyu Jeong South Korea
Young Ik Eom relative to Heiner Litz United States Heiner Litz's profile →
Citations per field
00.5×4.6×
Heiner Litz · 1×
Citations per year

Countries citing papers authored by Young Ik Eom

Since Specialization
Citations

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

Fields of papers citing papers by Young Ik Eom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Ik Eom. 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 Young Ik Eom. The network helps show where Young Ik Eom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200940
2 201529
3 201428
4
Lightweight application-level crash consistency on transactional flash storage
201526
5 202326
6 201720
7 201717
8 202116
9 201216
10 201714
11 201513
12 201612
13 201512
14 202311
15 201310
16 201310
17 20139
18 20209
19 20148
20 20168

About Young Ik Eom

Young Ik Eom is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Human-Computer Interaction and Signal Processing, having authored 119 papers that have together received 593 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (76 papers), Caching and Content Delivery (48 papers), Parallel Computing and Optimization Techniques (48 papers), Cloud Computing and Resource Management (31 papers), Peer-to-Peer Network Technologies (15 papers), Distributed systems and fault tolerance (11 papers), Distributed and Parallel Computing Systems (10 papers) and Cellular Automata and Applications (6 papers). The work is most often cited by research in Hardware and Architecture (261 citations), Computer Networks and Communications (502 citations), Information Systems (180 citations), Signal Processing (25 citations) and Artificial Intelligence (67 citations). Young Ik Eom has collaborated with scholars based in South Korea and United States. Frequent co-authors include Changwoo Min, Dong Hyun Kang, Jung-Hoon Kim, Dongwoo Lee, Dongkun Shin, Sang-Won Lee, Woon-Hak Kang, Tae Yong Kim, Taehyoung Kim and Taesoo Kim. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Access, ETRI Journal, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Computers.

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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