Junho Shim

1.1k citations
62 papers · 795 · h-index 15

Impact in

    • Caching and Content Delivery
    • Advanced Data Storage Technologies
    • Advanced Database Systems and Queries
    • Peer-to-Peer Network Technologies
    • Web Data Mining and Analysis
    • Cloud Computing and Resource Management

Papers in

Junho Shim

55 papers receiving 745 citations

Peers

Junho Shim
Comparison fields: 5 of 75
  • Computer Networks and Communications 487
  • Information Systems 305
  • Signal Processing 128
  • Artificial Intelligence 250
  • Computer Vision and Pattern Recognition 79
Replace Gabriel Jakobson with:
Gabriel Jakobson United States
Veenu Mangat India
Chittaranjan Hota India
Jerry den Hartog Netherlands
Robson de Oliveira Albuquerque Brazil
Brajendra Panda United States
Haleh Amintoosi Iran
Anas Abou El Kalam Morocco
Ahto Buldas Estonia
Reijo Savola Finland
Junho Shim relative to Gabriel Jakobson United States Gabriel Jakobson's profile →
Citations per field
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Gabriel Jakobson · 1×
Citations per year

Countries citing papers authored by Junho Shim

Since Specialization
Citations

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

Fields of papers citing papers by Junho Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999164
2
WATCHMAN: A Data Warehouse Intelligent Cache Manager
199697
3 199780
4 200650
5 200541
6 200334
7 201623
8 201823
9 201023
10 202219
11 200217
12 202115
13 201115
14 200514
15 200714
16 200511
17 202310
18 200310
19 199810
20 20219

About Junho Shim

Junho Shim is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 795 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (17 papers), Data Management and Algorithms (16 papers), Semantic Web and Ontologies (16 papers), Web Data Mining and Analysis (11 papers), Advanced Data Storage Technologies (9 papers), Service-Oriented Architecture and Web Services (7 papers), Caching and Content Delivery (6 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Computer Networks and Communications (487 citations), Information Systems (305 citations), Signal Processing (128 citations), Artificial Intelligence (250 citations) and Computer Vision and Pattern Recognition (79 citations). Junho Shim has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Radek Vingralek, Peter Scheuermann, Sang‐goo Lee, Sang-goo Lee, Jonghoon Chun, Taehee Lee, Dong‐Kyu Kim, K. Selçuk Candan, Dong-Joo Lee and Chisu Wu. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Electronic Commerce Research and Applications, Lecture notes in computer science and Journal of Visual Languages & Computing.

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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