Chul Kim

3.3k citations
169 papers · 2.4k · h-index 24

Impact in

Papers in

Chul Kim

157 papers receiving 2.3k citations

Peers

Chul Kim
Comparison fields: 5 of 153
  • Nuclear and High Energy Physics 474
  • Cellular and Molecular Neuroscience 491
  • Management Science and Operations Research 270
  • Behavioral Neuroscience 58
  • Biomedical Engineering 640
Replace R.I. Kitney with:
R.I. Kitney United Kingdom
Chen Dong China
Xueying Zhang China
Thomas Trappenberg Canada
Hideki Kawai Japan
Tao Song China
Michael Anderson United States
András Lörincz Hungary
Dae Won Kim South Korea
Chul Kim relative to R.I. Kitney United Kingdom R.I. Kitney's profile →
Citations per field
00.5×10×20×27×
R.I. Kitney · 1×
Citations per year

Countries citing papers authored by Chul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999287
2 2014106
3 2002101
4 202188
5 198083
6 201880
7 201773
8 201664
9 201661
10 200453
11 197049
12 197848
13 201945
14 201645
15 201343
16 200142
17 200336
18 201832
19 200331
20 200927

About Chul Kim

Chul Kim is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Nuclear and High Energy Physics, Cellular and Molecular Neuroscience and Computer Networks and Communications, having authored 169 papers that have together received 2.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (22 papers), Wireless Power Transfer Systems (20 papers), Quantum Chromodynamics and Particle Interactions (19 papers), Neuroscience and Neural Engineering (18 papers), Radio Frequency Integrated Circuit Design (16 papers), Energy Harvesting in Wireless Networks (16 papers), Advanced Memory and Neural Computing (16 papers) and High-Energy Particle Collisions Research (16 papers). The work is most often cited by research in Nuclear and High Energy Physics (474 citations), Cellular and Molecular Neuroscience (491 citations), Management Science and Operations Research (270 citations), Behavioral Neuroscience (58 citations) and Biomedical Engineering (640 citations). Chul Kim has collaborated with scholars based in South Korea, United States and United Arab Emirates. Frequent co-authors include Dug Hun Hong, Junegone Chay, Gert Cauwenberghs, Sohmyung Ha, Abraham Akinin, Glen R. Van Loon, Patrick P. Mercier, Siddharth Joshi, Adam K. Leibovich and Jiwoong Park. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Biomedical Circuits and Systems, Korean Journal of Chemical Engineering, Journal of Applied Probability and Physical review. D.

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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