Yoonho Park

1.0k citations
37 papers · 707 · h-index 13

Impact in

    • Parallel Computing and Optimization Techniques
    • Advanced Data Storage Technologies
    • Advanced Database Systems and Queries
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems
    • Software System Performance and Reliability

Papers in

Yoonho Park

36 papers receiving 648 citations

Peers

Yoonho Park
Comparison fields: 5 of 54
  • Hardware and Architecture 234
  • Computer Networks and Communications 544
  • Information Systems 263
  • Signal Processing 105
  • Artificial Intelligence 211
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Citations per field
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Citations per year

Countries citing papers authored by Yoonho Park

Since Specialization
Citations

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

Fields of papers citing papers by Yoonho Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006154
2 2006117
3
Proceedings of the General Track: 2001 USENIX Annual Technical Conference
200187
4 200054
5 201238
6 201531
7 201429
8 202017
9 200016
10 201615
11 200915
12
User-Level Physical Memory Management for Mach
199115
13 201814
14 201810
15 199610
16 20159
17 20118
18 20228
19 20218
20 20007

About Yoonho Park

Yoonho Park is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Signal Processing, having authored 37 papers that have together received 707 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Advanced Data Storage Technologies (13 papers), Distributed and Parallel Computing Systems (11 papers), Distributed systems and fault tolerance (8 papers), Cloud Computing and Resource Management (6 papers), Advanced Database Systems and Queries (4 papers), Security and Verification in Computing (4 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hardware and Architecture (234 citations), Computer Networks and Communications (544 citations), Information Systems (263 citations), Signal Processing (105 citations) and Artificial Intelligence (211 citations). Yoonho Park has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Henrique Andrade, Richard P. King, Chitra Venkatramani, Lisa Amini, Navendu Jain, Ranjita Bhagwan, Bryan S. Rosenburg, Jochen Liedtke, Stuart Sechrest and Kyung Dong Ryu. Their work appears in journals such as Tumor Biology, IEEE Transactions on Parallel and Distributed Systems, Software Practice and Experience, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and IEEE Transactions on Power Delivery.

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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