Eun-Jin Im

684 total citations
14 papers, 361 citations indexed

About

Eun-Jin Im is a scholar working on Computer Networks and Communications, Hardware and Architecture and General Health Professions. According to data from OpenAlex, Eun-Jin Im has authored 14 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Hardware and Architecture and 2 papers in General Health Professions. Recurrent topics in Eun-Jin Im's work include Parallel Computing and Optimization Techniques (3 papers), Particle accelerators and beam dynamics (2 papers) and Health, Medicine and Society (2 papers). Eun-Jin Im is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Particle accelerators and beam dynamics (2 papers) and Health, Medicine and Society (2 papers). Eun-Jin Im collaborates with scholars based in South Korea and United States. Eun-Jin Im's co-authors include Katherine Yelick, Richard Vuduc, Kamesh Madduri, Samuel Williams, Khaled Z. Ibrahim, Leonid Oliker, S. Ethier, John Shalf, MyungKeun Yoon and Youngman Kim and has published in prestigious journals such as Journal of Parallel and Distributed Computing, Parallel Computing and The International Journal of High Performance Computing Applications.

In The Last Decade

Eun-Jin Im

12 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eun-Jin Im South Korea	7	270	227	75	42	31	14	361
Mary Zosel United States	4	378 1.4×	368 1.6×	51 0.7×	89 2.1×	10 0.3×	10	482
Roy Williams United States	8	146 0.5×	177 0.8×	63 0.8×	37 0.9×	15 0.5×	15	369
Pavel Tvrdı́k Czechia	10	149 0.6×	206 0.9×	60 0.8×	64 1.5×	16 0.5×	52	329
William Killian United States	4	176 0.7×	142 0.6×	13 0.2×	56 1.3×	10 0.3×	4	294
Hongzhang Shan United States	13	487 1.8×	606 2.7×	17 0.2×	30 0.7×	15 0.5×	46	705
Mathieu Faverge France	10	389 1.4×	348 1.5×	79 1.1×	49 1.2×	3 0.1×	25	491
Ian Karlin United States	12	376 1.4×	339 1.5×	64 0.9×	63 1.5×	7 0.2×	39	518
Justin Holewinski United States	6	226 0.8×	179 0.8×	35 0.5×	48 1.1×	2 0.1×	8	289
Rajib Nath United States	8	329 1.2×	241 1.1×	141 1.9×	50 1.2×	2 0.1×	11	473
Phil Colella United States	4	255 0.9×	260 1.1×	9 0.1×	47 1.1×	47 1.5×	6	394

Countries citing papers authored by Eun-Jin Im

Since Specialization

Citations

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

Fields of papers citing papers by Eun-Jin Im

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun-Jin Im. 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 Eun-Jin Im. The network helps show where Eun-Jin Im may publish in the future.

Co-authorship network of co-authors of Eun-Jin Im

This figure shows the co-authorship network connecting the top 25 collaborators of Eun-Jin Im. A scholar is included among the top collaborators of Eun-Jin Im 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 Eun-Jin Im. Eun-Jin Im 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:

14 of 14 papers shown

1.

Lim, Sung-Soo, Eun-Jin Im, Nikil Dutt, et al.. (2013). A Reliable, Safe, and Secure Run-Time Platform for Cyber Physical Systems. 268–274. 1 indexed citations

2.

Im, Eun-Jin, et al.. (2013). A grand spread estimator using a graphics processing unit. Journal of Parallel and Distributed Computing. 74(2). 2039–2047. 6 indexed citations

3.

Seo, Sang Won, et al.. (2012). Social network analysis algorithm on a many-core GPU. 217–218. 1 indexed citations

4.

Im, Eun-Jin, et al.. (2012). Improving the Performance of Document Similarity by using GPU Parallelism. The KIPS Transactions PartB. 19B(4). 243–248.

5.

Kim, Youngman, et al.. (2011). A homogeneous parallel brute force cracking algorithm on the GPU. 561–564. 8 indexed citations

6.

Madduri, Kamesh, Eun-Jin Im, Khaled Z. Ibrahim, et al.. (2011). Gyrokinetic particle-in-cell optimization on emerging multi- and manycore platforms. Parallel Computing. 37(9). 501–520. 25 indexed citations

7.

Im, Eun-Jin, et al.. (2011). Optical flow computation on a heterogeneous platform. 2749. 68–73. 1 indexed citations

8.

Madduri, Kamesh, Khaled Z. Ibrahim, Samuel Williams, et al.. (2011). Gyrokinetic toroidal simulations on leading multi- and manycore HPC systems. eScholarship (California Digital Library). 1–12. 32 indexed citations

9.

Lee, Youngjun, et al.. (2010). Fast forwarding table lookup exploiting GPU memory architecture. 341–345. 2 indexed citations

10.

Im, Eun-Jin. (2006). An Efficient Computation of Matrix Triple Products. Journal of the Korea Society of Computer and Information. 11(3). 141–149. 1 indexed citations

11.

Im, Eun-Jin, Katherine Yelick, & Richard Vuduc. (2004). Sparsity: Optimization Framework for Sparse Matrix Kernels. The International Journal of High Performance Computing Applications. 18(1). 135–158. 232 indexed citations

12.

Im, Eun-Jin, et al.. (2000). Optimization of Sparse Matrix Kernels for Data Mining. 6 indexed citations

13.

Im, Eun-Jin & Katherine Yelick. (1999). Optimizing Sparse Matrix Vector Multiplication on SMP.. PPSC. 41 indexed citations

14.

Im, Eun-Jin, et al.. (1998). Model-Based Memory Hierarchy Optimizations for Sparse Matrices. 5 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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