Eunsoo Seo

1.2k total citations · 1 hit paper
11 papers, 802 citations indexed

About

Eunsoo Seo is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Eunsoo Seo has authored 11 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Hardware and Architecture and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Eunsoo Seo's work include Radiation Effects in Electronics (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Software Testing and Debugging Techniques (3 papers). Eunsoo Seo is often cited by papers focused on Radiation Effects in Electronics (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Software Testing and Debugging Techniques (3 papers). Eunsoo Seo collaborates with scholars based in United States, South Korea and Türkiye. Eunsoo Seo's co-authors include Shan Lu, Soyeon Park, Yuanyuan Zhou, Tarek Abdelzaher, Prasant Mohapatra, Yuanyuan Zhou, Hwangnam Kim, Haiyun Luo, Theodore Brown and Lui Sha and has published in prestigious journals such as IEEE Transactions on Mobile Computing, ACM SIGPLAN Notices and Optik.

In The Last Decade

Eunsoo Seo

10 papers receiving 773 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.

Learning from mistakes

2008 605 citations Shan Lu, Soyeon Park et al. profile →

Peers

Eunsoo Seo

CNC

HA

SOFTW

IS

AI

Polyvios Pratikakis Greece

Vugranam C. Sreedhar United States

Linhai Song United States

Geoff Voelker United States

Roy Levin Israel

J. Christopher Ramming United States

Dries Buytaert Belgium

Rob Strom United States

Simon Peyton-Jones United Kingdom

Mads Dam Sweden

Polyvios Pratikakis Greece

Eunsoo Seo

381 ×0.8

CNC

414 ×1.1

HA

107 ×0.3

SOFTW

158 ×0.6

IS

315 ×2.2

AI

Citations per year, relative to Eunsoo Seo Eunsoo Seo (= 1×) peers Polyvios Pratikakis

Countries citing papers authored by Eunsoo Seo

Since Specialization

Citations

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

Fields of papers citing papers by Eunsoo Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunsoo Seo

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

11 of 11 papers shown

1.

Choi, Won‐Ho, et al.. (2019). Feasibility of fast non-local means noise reduction algorithm in magnetic resonance imaging using 1.5 and 3.0 T with diffusion-weighted image technique. Optik. 183. 241–246. 3 indexed citations

2.

Seo, Eunsoo, et al.. (2016). Root cause diagnosis in error‐propagating networks. Security and Communication Networks. 9(11). 1297–1308.

3.

Seo, Eunsoo, Prasant Mohapatra, & Tarek Abdelzaher. (2012). Identifying rumors and their sources in social networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8389. 83891I–83891I. 86 indexed citations

4.

Seo, Eunsoo, et al.. (2012). Leveraging provenance to improve data fusion in sensor networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8407. 840709–840709. 3 indexed citations

5.

Seo, Eunsoo, et al.. (2011). Limiting Worst-Case End-to-End Latency When Traffic Increases in a Switched Avionics Network. The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry). 2255. 285–294. 3 indexed citations

6.

Seo, Eunsoo, Mohammad Maifi Hasan Khan, Prasant Mohapatra, Jiawei Han, & Tarek Abdelzaher. (2011). Exposing Complex Bug-Triggering Conditions in Distributed Systems via Graph Mining. 186–195. 6 indexed citations

7.

Seo, Eunsoo, et al.. (2008). SELECT: Self-Learning Collision Avoidance for Wireless Networks. IEEE Transactions on Mobile Computing. 7(3). 305–321. 13 indexed citations

8.

Lu, Shan, Soyeon Park, Eunsoo Seo, & Yuanyuan Zhou. (2008). Learning from mistakes. ACM SIGPLAN Notices. 43(3). 329–339. 46 indexed citations

9.

Lu, Shan, Soyeon Park, Eunsoo Seo, & Yuanyuan Zhou. (2008). Learning from mistakes. ACM SIGOPS Operating Systems Review. 42(2). 329–339. 19 indexed citations

10.

Lu, Shan, Soyeon Park, Eunsoo Seo, & Yuanyuan Zhou. (2008). Learning from mistakes. 329–339. 605 indexed citations breakdown →

11.

Lu, Shan, Soyeon Park, Eunsoo Seo, & Yuanyuan Zhou. (2008). Learning from mistakes. ACM SIGARCH Computer Architecture News. 36(1). 329–339. 18 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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