Brian Cho

2.1k citations
67 papers · 1.5k · h-index 21

Impact in

Papers in

    • Reconstructive Surgery and Microvascular Techniques 6
    • Orthopedic Surgery and Rehabilitation 4
    • Tissue Engineering and Regenerative Medicine 4
    • Advanced Data Storage Technologies 8
    • Caching and Content Delivery 7
    • Distributed systems and fault tolerance 4
    • Peer-to-Peer Network Technologies 4

Brian Cho

61 papers receiving 1.5k citations

Peers

Brian Cho
Comparison fields: 5 of 142
  • Health Informatics 52
  • Computer Networks and Communications 331
  • Information Systems 312
  • Biomaterials 171
  • Surgery 418
Replace Jerry Yan with:
Jerry Yan United States
Yu Pei China
Davide Barbieri Netherlands
Luca Melis Italy
Peng Zhao China
Sumit Yadav United States
Shuai Li China
Teng Li China
Tianze Sun China
Brian Cho relative to Jerry Yan United States Jerry Yan's profile →
Citations per field
00.5×5.1×
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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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019216
2 2020125
3 2018110
4 199981
5 201068
6 201960
7 200656
8 201255
9 201352
10 202046
11
On availability of intermediate data in cloud computations
200941
12 202037
13 202236
14 201836
15 201133
16 201731
17 201029
18 201023
19 201122
20 201921

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 67 papers that have together received 1.5k 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 (6 papers), Orthopedic Surgery and Rehabilitation (4 papers), Distributed systems and fault tolerance (4 papers), Peer-to-Peer Network Technologies (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Health Informatics (52 citations), Computer Networks and Communications (331 citations), Information Systems (312 citations), Biomaterials (171 citations) and Surgery (418 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, Varun Arvind, Steven Y. Ko, Justin M. Sacks, Gurjot S. Walia, Zenghe Liu, Ben Feldman and Chi Zhang. Their work appears in journals such as The Journal Of Hand Surgery, Global Spine Journal, Spine, World Neurosurgery 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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