Brian Cho

1.6k citations
64 papers · 1.1k indexed · h-index 19

Brian Cho

61 papers receiving 1.1k citations

Peers

Brian Cho
Comparison fields: 5 of 134
  • Health Informatics 65
  • Computer Networks and Communications 331
  • Information Systems 310
  • Surgery 375
  • Hardware and Architecture 40
Replace Matthew Moore with:
Matthew Moore United States
Theofanie Mela United States
Dong Kyun Park South Korea
Marcus Chun Jin Tan Singapore
Huanmei Wu United States
H. K. Huang United States
Zhendong Wu China
Peixi Liu China
Oliver Burgert Germany
Brian Cho relative to Matthew Moore United States Matthew Moore's profile →
Citations per field
00.5×10×
Matthew Moore · 1×
Citations per year

Countries citing papers authored by Brian Cho

Since Specialization
Citations

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

Fields of papers citing papers by Brian Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202318
3 20233
4 20232
5 20224
6 202211
7 20225
8 20229
9 20211
10 20208
11 20203
12 20196
13 201912
14 201920
15 20188
16
Elastic memory: bring elasticity back to in-memory big data analytics
20154
17
Surviving congestion in geo-distributed storage systems
201210
18 201018
19 20090
20 20071

About Brian Cho

Brian Cho is a scholar working on Health Informatics, Computer Networks and Communications, Oral Surgery, Health Information Management and Surgery, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Advanced Data Storage Technologies (8 papers), Caching and Content Delivery (7 papers), Reconstructive Surgery and Microvascular Techniques (7 papers), Spine and Intervertebral Disc Pathology (6 papers), Scoliosis diagnosis and treatment (6 papers), Orthopedic Surgery and Rehabilitation (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Health Informatics (65 citations), Computer Networks and Communications (331 citations), Information Systems (310 citations), Surgery (375 citations) and Hardware and Architecture (40 citations). Brian Cho has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Indranil Gupta, Samuel K. Cho, Jun Kim, Steven Y. Ko, Varun Arvind, Eric Geng, W E Mercer, David J. Hall, Ravikumar Rallapalli and Hannah M. Carl. Their work appears in journals such as Global Spine Journal, The Journal Of Hand Surgery, World Neurosurgery, Spine and Spine Deformity.

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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