Hojun Shim

541 citations
14 papers · 441 · h-index 10

Impact in

Papers in

Hojun Shim

14 papers receiving 418 citations

Peers

Hojun Shim
Comparison fields: 5 of 48
  • Hardware and Architecture 130
  • Computer Vision and Pattern Recognition 191
  • Human-Computer Interaction 29
  • Electrical and Electronic Engineering 248
  • Signal Processing 48
Replace Yoshio Matsuda with:
Yoshio Matsuda Japan
Burak Özer United States
Yann Deval France
Tomohiro Hase Japan
Arindam Mallik Belgium
Jongmin Lee South Korea
R. Roovers Netherlands
Anand Bhojan Singapore
J.C. Eble United States
P.A. Ivey United Kingdom
Hojun Shim relative to Yoshio Matsuda Japan Yoshio Matsuda's profile →
Citations per field
00.5×1.5×2.2×
Yoshio Matsuda · 1×
Citations per year

Countries citing papers authored by Hojun Shim

Since Specialization
Citations

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

Fields of papers citing papers by Hojun Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Hojun Shim, 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 Hojun Shim Line = papers co-authored together Hojun Shim links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2004148
2 2002131
3 200330
4 200227
5 200224
6 200521
7 202115
8 200212
9 20049
10 20029
11 20027
12 20055
13 20032
14 20061

About Hojun Shim

Hojun Shim is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Sociology and Political Science, having authored 14 papers that have together received 441 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Low-power high-performance VLSI design (5 papers), Embedded Systems Design Techniques (4 papers), VLSI and FPGA Design Techniques (3 papers), Image and Video Quality Assessment (3 papers), Green IT and Sustainability (2 papers), Multimedia Communication and Technology (2 papers) and Real-Time Systems Scheduling (2 papers). The work is most often cited by research in Hardware and Architecture (130 citations), Computer Vision and Pattern Recognition (191 citations), Human-Computer Interaction (29 citations), Electrical and Electronic Engineering (248 citations) and Signal Processing (48 citations). Hojun Shim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Naehyuck Chang, In-Seok Choi, Yongsoo Joo, Yong‐Seok Choi, Hyung Gyu Lee, Dongkun Shin, Jihong Kim, Youngjin Cho, Kwanho Kim and Hwangnam Kim. Their work appears in journals such as ICT Express, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM Transactions on Embedded Computing Systems, IEEE Design & Test of Computers and Proceedings - ACM IEEE Design Automation Conference.

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.

Explore authors with similar magnitude of impact