Jongmoo Choi

3.5k total citations
120 papers, 2.4k citations indexed

About

Jongmoo Choi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Jongmoo Choi has authored 120 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Computer Networks and Communications, 51 papers in Hardware and Architecture and 36 papers in Information Systems. Recurrent topics in Jongmoo Choi's work include Advanced Data Storage Technologies (86 papers), Caching and Content Delivery (52 papers) and Parallel Computing and Optimization Techniques (50 papers). Jongmoo Choi is often cited by papers focused on Advanced Data Storage Technologies (86 papers), Caching and Content Delivery (52 papers) and Parallel Computing and Optimization Techniques (50 papers). Jongmoo Choi collaborates with scholars based in South Korea, United States and China. Jongmoo Choi's co-authors include Sam H. Noh, Dong‐Hee Lee, Sang Lyul Min, Yookun Cho, Chong Sang Kim, Jong‐Hun Kim, Onur Mutlu, Donghee Lee, Juneho Yi and Jongsun Kim and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Jongmoo Choi

113 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jongmoo Choi South Korea 24 2.1k 1.1k 595 253 230 120 2.4k
Orion Hodson United States 16 1.5k 0.7× 634 0.6× 581 1.0× 292 1.2× 430 1.9× 25 1.9k
Scott Rixner United States 28 3.0k 1.4× 2.5k 2.4× 1.2k 2.0× 635 2.5× 329 1.4× 79 3.8k
Youngjae Kim South Korea 24 2.2k 1.1× 1.0k 1.0× 661 1.1× 176 0.7× 233 1.0× 136 2.4k
Roy Friedman Israel 27 2.1k 1.0× 491 0.5× 323 0.5× 323 1.3× 503 2.2× 153 2.3k
Adrian M. Caulfield United States 18 2.2k 1.1× 1.8k 1.7× 586 1.0× 668 2.6× 288 1.3× 30 2.7k
Idit Keidar Israel 29 2.3k 1.1× 572 0.5× 709 1.2× 172 0.7× 474 2.1× 149 2.6k
Laxmi N. Bhuyan United States 27 2.6k 1.2× 1.8k 1.7× 639 1.1× 673 2.7× 425 1.8× 253 3.2k
Carl Staelin United States 14 1.6k 0.8× 805 0.8× 503 0.8× 154 0.6× 288 1.3× 39 2.0k
Sanjeev Kumar United States 17 1.1k 0.5× 646 0.6× 347 0.6× 178 0.7× 329 1.4× 102 1.4k
Neal Cardwell United States 21 3.2k 1.6× 719 0.7× 396 0.7× 1.1k 4.5× 423 1.8× 30 3.7k

Countries citing papers authored by Jongmoo Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jongmoo Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongmoo Choi

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

All Works

20 of 20 papers shown
1.
Shin, Hojin, et al.. (2024). ThanosKV: A Holistic Approach to Utilize NVM for LSM-tree based Key- Value Stores. 143–150. 1 indexed citations
2.
Zhang, Xiang-Qun, Shuyi Pei, Eunji Lee, et al.. (2024). Storage Abstractions for SSDs: The Past, Present, and Future. ACM Transactions on Storage. 21(1). 1–44. 1 indexed citations
3.
Kim, Bryan S., et al.. (2023). ConfZNS : A Novel Emulator for Exploring Design Space of ZNS SSDs. 71–82. 8 indexed citations
4.
Chung, Yoojin, et al.. (2023). An Empirical Study of Segmented Linear Regression Search in LevelDB. Electronics. 12(4). 1018–1018. 4 indexed citations
5.
Choi, Jongmoo, et al.. (2023). Requirements and Trade-Offs of Compression Techniques in Key–Value Stores: A Survey. Electronics. 12(20). 4280–4280. 2 indexed citations
6.
Shin, Hojin, et al.. (2020). Exploring Performance Characteristics of ZNS SSDs: Observation and Implication. 1–5. 15 indexed citations
7.
Li, Yang, Saugata Ghose, Jongmoo Choi, et al.. (2017). Utility-Based Hybrid Memory Management. 152–165. 44 indexed citations
8.
Baek, Seungjae, Sangyeun Cho, & Jongmoo Choi. (2017). Don’t make cache too complex: A simple probability-based cache management scheme for SSDs. PLoS ONE. 12(3). e0174375–e0174375. 1 indexed citations
9.
Luo, Yixin, Yu Cai, Saugata Ghose, Jongmoo Choi, & Onur Mutlu. (2015). WARM: Improving NAND flash memory lifetime with write-hotness aware retention management. 1–14. 93 indexed citations
10.
Park, Sohyun, et al.. (2012). Integrated Model of Service-Oriented Architecture and Web-Oriented Architecture for Financial Software *. Journal of information science and engineering. 28. 925–939. 3 indexed citations
11.
Choi, Jongmoo, et al.. (2012). Caching less for better performance: balancing cache size and update cost of flash memory cache in hybrid storage systems. File and Storage Technologies. 25–25. 91 indexed citations
12.
Choi, Jongmoo, et al.. (2011). SMART based Dependability Analysis Methodology for SSD: Measurements and Implications. 38(5). 207–215.
13.
Kim, Eunsam, et al.. (2009). A Segment Space Recycling Scheme for Optimizing Write Performance of LFS. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 15(12). 963–967. 1 indexed citations
14.
Choi, Jongmoo. (2007). Kernel aware module verification for robust reconfigurable operating system. Journal of information science and engineering. 23(5). 1339–1347. 3 indexed citations
15.
Ahn, S.T., Jongmoo Choi, Dong‐Hee Lee, et al.. (2007). Design, Implementation, and Performance Evaluation of Flash Memory-based File System on Chip *. Journal of information science and engineering. 23(6). 1865–1887. 2 indexed citations
16.
Kim, Jongsun, Jongmoo Choi, Juneho Yi, & Matthew Turk. (2005). Effective representation using ICA for face recognition robust to local distortion and partial occlusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(12). 1977–1981. 146 indexed citations
17.
Heo, Junyoung, Sangho Yi, Jiman Hong, Yookun Cho, & Jongmoo Choi. (2004). An efficient merging algorithm for recovery and garbage collection in incremental checkpointing.. 358–368. 2 indexed citations
18.
Yi, Sangho, et al.. (2004). Ickpt: An Efficient Incremental Checkpointing Using Page Writing Fault - Focusing on the Implementation in Linux Kernel.. Computers and Their Applications. 209–212.
19.
Kim, Jong Min, Jongmoo Choi, Jesung Kim, et al.. (2000). A low-overhead high-performance unified buffer management scheme that exploits sequential and looping references. Operating Systems Design and Implementation. 9. 104 indexed citations
20.
Choi, Jongmoo, Sam H. Noh, Sang Lyul Min, & Yookun Cho. (1999). An implementation study of a detection-based adaptive block replacement scheme. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 18–18. 29 indexed citations

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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