Brian Cho

2.1k citations
69 papers · 1.6k · h-index 21

Impact in

Papers in

    • Reconstructive Surgery and Microvascular Techniques 6
    • Orthopedic Surgery and Rehabilitation 4
    • Tissue Engineering and Regenerative Medicine 4
    • Caching and Content Delivery 8
    • Advanced Data Storage Technologies 8
    • Peer-to-Peer Network Technologies 5
    • Distributed systems and fault tolerance 4

Brian Cho

62 papers receiving 1.6k citations

Peers

Brian Cho
Comparison fields: 5 of 143
  • Health Informatics 53
  • Computer Networks and Communications 361
  • Information Systems 342
  • Biomaterials 174
  • Surgery 426
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Yu Pei China
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Citations per field
00.5×10×20×26.5×
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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-authors

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

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019218
2 2020128
3 2018111
4 199982
5 201081
6 201963
7 200657
8 201256
9 201354
10 202046
11
On availability of intermediate data in cloud computations
200943
12 201140
13 202038
14 202237
15 201837
16 201731
17 201029
18 201026
19 201123
20 201923

About Brian Cho

Brian Cho is a scholar working on Surgery, Computer Networks and Communications, Information Systems, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Caching and Content Delivery (8 papers), Advanced Data Storage Technologies (8 papers), Reconstructive Surgery and Microvascular Techniques (6 papers), Peer-to-Peer Network Technologies (5 papers), Orthopedic Surgery and Rehabilitation (4 papers), Distributed systems and fault tolerance (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Health Informatics (53 citations), Computer Networks and Communications (361 citations), Information Systems (342 citations), Biomaterials (174 citations) and Surgery (426 citations). Brian Cho has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Indranil Gupta, Samuel K. Cho, Jun Kim, Steven Y. Ko, Varun Arvind, Justin M. Sacks, Gurjot S. Walia, Ben Feldman, Zenghe Liu and Xiaowei Li. Their work appears in journals such as Global Spine Journal, The Journal Of Hand Surgery, World Neurosurgery, Spine and The Spine 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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