John Kim

11.2k total citations · 3 hit papers
211 papers, 8.2k citations indexed

About

John Kim is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, John Kim has authored 211 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Networks and Communications, 81 papers in Hardware and Architecture and 54 papers in Electrical and Electronic Engineering. Recurrent topics in John Kim's work include Interconnection Networks and Systems (84 papers), Parallel Computing and Optimization Techniques (73 papers) and Advanced Memory and Neural Computing (23 papers). John Kim is often cited by papers focused on Interconnection Networks and Systems (84 papers), Parallel Computing and Optimization Techniques (73 papers) and Advanced Memory and Neural Computing (23 papers). John Kim collaborates with scholars based in South Korea, United States and Canada. John Kim's co-authors include Dennis Abts, William J. Dally, Daniel J. Klionsky, Steve Scott, W.J. Dally, Wei‐Pang Huang, Sidney V. Scott, James Balfour, Brian Towles and Gokhan Memik and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

John Kim

202 papers receiving 7.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A detailed and flexible cycle-accurate Network-on-Chip simulator

2013 549 citations John Kim et al. profile →
Technology-Driven, Highly-Scalable Dragonfly Topology

2008 366 citations John Kim, Dennis Abts et al. profile →
Technology-Driven, Highly-Scalable Dragonfly Topology

2008 346 citations John Kim, Dennis Abts et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Kim South Korea	45	3.8k	2.6k	2.5k	1.6k	949	211	8.2k
Saurabh Sinha United States	34	580 0.2×	332 0.1×	1.2k 0.5×	280 0.2×	187 0.2×	198	4.6k
Hao Zhang China	49	519 0.1×	58 0.0×	1.1k 0.4×	150 0.1×	2.4k 2.6×	489	8.6k
Kevin Lee United States	40	1.5k 0.4×	151 0.1×	1.3k 0.5×	30 0.0×	647 0.7×	310	5.8k
Paul Bogdan United States	33	1.4k 0.4×	899 0.3×	1000 0.4×	47 0.0×	541 0.6×	184	3.4k
John Paul Shen United States	30	1.1k 0.3×	1.3k 0.5×	331 0.1×	66 0.0×	1.4k 1.5×	162	3.9k
Li‐Chun Wang Taiwan	45	3.9k 1.0×	30 0.0×	4.1k 1.7×	81 0.1×	619 0.7×	531	8.0k
Bülent Yener United States	31	1.7k 0.4×	116 0.0×	864 0.4×	245 0.2×	501 0.5×	115	5.7k
Jianwei Liu China	37	1.5k 0.4×	135 0.1×	1.2k 0.5×	55 0.0×	313 0.3×	510	5.7k
Jun Zhu China	42	323 0.1×	105 0.0×	1.3k 0.5×	113 0.1×	2.0k 2.1×	243	10.2k
Michael Taylor United States	35	2.7k 0.7×	3.0k 1.2×	1.5k 0.6×	51 0.0×	47 0.0×	121	5.0k

Countries citing papers authored by John Kim

Since Specialization

Citations

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

Fields of papers citing papers by John Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Seiberlich, Nicole, J. A. Richardson, Ashok Srinivasan, et al.. (2025). Routine and Advanced Neurologic Imaging at 0.55-T MRI: Opportunities and Challenges. Radiographics. 45(3). e240076–e240076. 1 indexed citations

2.

Gorgin, Saeid, et al.. (2025). Scaling Out Chip Interconnect Networks with Implicit Sequence Numbers. 1240–1251.

3.

Velec, Michael, Aisling Barry, Michael Yan, et al.. (2024). Development and validation of an MR-driven dose-of-the-day procedure for online adaptive radiotherapy in upper gastrointestinal cancer patients. Physics in Medicine and Biology. 69(16). 165009–165009.

4.

Abellán, José Luis, et al.. (2024). Scalability Limitations of Processing-in-Memory using Real System Evaluations. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 8(1). 1–28. 9 indexed citations

5.

Kim, John, et al.. (2024). Proactive Embedding on Cold Data for Deep Learning Recommendation Model Training. IEEE Computer Architecture Letters. 23(2). 203–206.

6.

Abellán, José Luis, et al.. (2024). Scalability Limitations of Processing-in-Memory using Real System Evaluations. 63–64. 2 indexed citations

7.

Abellán, José Luis, et al.. (2024). Scalability Limitations of Processing-in-Memory using Real System Evaluations. ACM SIGMETRICS Performance Evaluation Review. 52(1). 63–64. 2 indexed citations

8.

Yan, Mingyu, Xiaocheng Yang, Duo Wang, et al.. (2024). HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation. IEEE Transactions on Parallel and Distributed Systems. 35(7). 1122–1138. 4 indexed citations

9.

Kim, John, et al.. (2023). Production functions of NCAA men and women water polo matches. Scholarly Commons (University of the Pacific). 9(2). 141–155.

10.

Kim, John, et al.. (2023). Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping. 1319–1331. 10 indexed citations

11.

Joshi, Ajay, et al.. (2023). Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. IEEE Micro. 43(5). 55–63. 4 indexed citations

12.

Boyd, Matthew, et al.. (2022). Answer Fast: Accelerating BERT on the Tensor Streaming Processor. 80–87. 6 indexed citations

13.

Rhu, Minsoo, et al.. (2021). Trident: A Hybrid Correlation-Collision GPU Cache Timing Attack for AES Key Recovery. 332–344. 10 indexed citations

14.

Sun, Yifan, José Luis Abellán, Ajay Joshi, et al.. (2020). Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 596–609. 31 indexed citations

15.

Fu, Binzhang & John Kim. (2017). Footprint. 691–702. 17 indexed citations

16.

Simon, Mark & John Kim. (2017). Two sources of overconfidence: Incorporating disconfirming feedback in an entrepreneurial context. Journals @ Middle Tennessee State University (Middle Tennessee State University). 19 indexed citations

17.

Choi, Hyunwoo, et al.. (2016). PIkit: A New Kernel-Independent Processor-Interconnect Rootkit. USENIX Security Symposium. 37–51. 9 indexed citations

18.

Lee, Min Seok, et al.. (2014). Improving GPGPU Resource Utilization and Performance Through Alternative Cooperative Thread Array Scheduling. 1 indexed citations

19.

Kim, John, et al.. (2008). Design and Implementation of PML Server for the Effective Traceability of Agro-Foods under the RFID Environments. 416–419. 1 indexed citations

20.

Kim, John, Frank R. Kardes, & Paul M. Herr. (1991). Consumer Expertise and the Vividness Effect: Implications For Judgment and Inference. ACR North American Advances. 7 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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