K. Cho

2.0k citations
25 papers · 63 indexed · h-index 5

Impact in

Papers in

K. Cho

19 papers receiving 58 citations

Peers

K. Cho
Comparison fields: 5 of 22
  • Nuclear and High Energy Physics 47
  • Information Systems and Management 10
  • Hardware and Architecture 6
  • Computer Networks and Communications 15
  • Artificial Intelligence 18
Replace G. H. Stark with:
G. H. Stark United States
P. Wittich United States
M. Feickert United States
Maria Girone Switzerland
S. Kluth Germany
B. P. Kerševan Slovenia
A. Telesca Switzerland
V. Sapunenko Italy
D. P. Kelsey United Kingdom
K. Maeshima United States
K. Cho relative to G. H. Stark United States G. H. Stark's profile →
Citations per field
00.5×
G. H. Stark · 1×
Citations per year

Countries citing papers authored by K. Cho

Since Specialization
Citations

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

Fields of papers citing papers by K. Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside K. Cho, 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 K. Cho Line = papers co-authored together K. Cho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 20168
2 20107
3 20177
4 20234
5 20074
6 20164
7 20233
8 20153
9 20183
10
A test of the interoperability of grid middleware for the Korean High Energy Physics Data Grid system
20073
11 20193
12 20103
13 20212
14 20132
15 20202
16 20082
17 20181
18 20221
19 20151
20 20250

About K. Cho

K. Cho is a scholar working on Nuclear and High Energy Physics, Information Systems and Management, Computer Networks and Communications, Hardware and Architecture and Radiation, having authored 25 papers that have together received 63 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (11 papers), Distributed and Parallel Computing Systems (8 papers), Dark Matter and Cosmic Phenomena (6 papers), Particle Detector Development and Performance (6 papers), Computational Physics and Python Applications (4 papers), Advanced Data Storage Technologies (4 papers), Scientific Computing and Data Management (4 papers) and Quantum Chromodynamics and Particle Interactions (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (47 citations), Information Systems and Management (10 citations), Hardware and Architecture (6 citations), Computer Networks and Communications (15 citations) and Artificial Intelligence (18 citations). K. Cho has collaborated with scholars based in South Korea, Italy and Australia. Frequent co-authors include In‐Sung Yeo, Jung-Hyun Kim, K.-H. Kim, Jangho Kim, Hyunwoo Kim, W. Choi, G.A.P. Cirrone, Alexei Sytov, Anatoly Rosenfeld and L. Bandiera. Their work appears in journals such as Computer Physics Communications, Journal of the Korean Physical Society, Journal of Astronomy and Space Sciences, New Physics Sae Mulli and SHILAP Revista de lepidopterología.

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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