Kyungsik Eom

412 citations
23 papers · 321 · h-index 9

Impact in

Papers in

Kyungsik Eom

21 papers receiving 319 citations

Peers

Kyungsik Eom
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 203
  • Biomedical Engineering 131
  • Neurology 21
  • Electronic, Optical and Magnetic Materials 37
  • Cognitive Neuroscience 35
Replace Nicholas J. Rommelfanger with:
Nicholas J. Rommelfanger United States
William G. A. Brown Australia
Rongkang Yin United States
Jeremy S. Treger United States
Benjamin W. Avants United States
Alessandro Simi Italy
Yong‐Tae Kim South Korea
Héctor Acarón Ledesma United States
Andrew Shin United States
Rahul Munshi United States
Kyungsik Eom relative to Nicholas J. Rommelfanger United States Nicholas J. Rommelfanger's profile →
Citations per field
00.5×1.5×2.2×
Nicholas J. Rommelfanger · 1×
Citations per year

Countries citing papers authored by Kyungsik Eom

Since Specialization
Citations

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

Fields of papers citing papers by Kyungsik Eom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyungsik Eom, 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 Kyungsik Eom Line = papers co-authored together Kyungsik Eom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 201624
3 201824
4 201423
5 202022
6 201714
7 202211
8 20219
9 20249
10 20118
11 20148
12 20187
13 20135
14 20234
15 20213
16 20252
17 20252
18 20251
19 20201
20 20241

About Kyungsik Eom

Kyungsik Eom is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience and Neurology, having authored 23 papers that have together received 321 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Photoreceptor and optogenetics research (7 papers), Advanced Memory and Neural Computing (4 papers), Wireless Power Transfer Systems (3 papers), Transcranial Magnetic Stimulation Studies (3 papers), Neural dynamics and brain function (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (203 citations), Biomedical Engineering (131 citations), Neurology (21 citations), Electronic, Optical and Magnetic Materials (37 citations) and Cognitive Neuroscience (35 citations). Kyungsik Eom has collaborated with scholars based in South Korea, United States and Iran. Frequent co-authors include Sung June Kim, Sang Beom Jun, Kyung Min Byun, Jin-Hyung Kim, Jin Woo Chang, Jong Min Choi, Joonsoo Jeong, Jong‐Hwan Lee, Young-Hoon Park and Tae Hyung Lee. Their work appears in journals such as Electronics, Biomedical Optics Express, Frontiers in Cellular Neuroscience, Translational Vision Science & Technology and IEEE Sensors Journal.

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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