Junho Shim
Impact in
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- Caching and Content Delivery
- Advanced Database Systems and Queries
- Information Systems top 5%
- Recommender Systems and Techniques
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- Advanced Database Systems and Queries 18
- Caching and Content Delivery 5
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- Semantic Web and Ontologies 16
- Advanced Clustering Algorithms Research 4
- Topic Modeling 4
- Co-authors
- Peter Scheuermann (6 shared papers)Radek Vingralek (6 shared papers)Sang‐goo Lee (10 shared papers)Sang-goo Lee (12 shared papers)Jonghoon Chun (5 shared papers)Taehee Lee (5 shared papers)Dong-kyu Kim (2 shared papers)Young-Hoon Park (1 shared paper)
- Journals
- IEEE Access (4 papers)Electronic Commerce Research and Applications (2 papers)Expert Systems with Applications (2 papers)Lecture notes in computer science (11 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- South KoreaUnited StatesAustria
In The Last Decade
Junho Shim
55 papers receiving 762 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 426
- Information Systems 157
- Business and International Management 7
- Artificial Intelligence 188
- Signal Processing 21
Countries citing papers authored by Junho Shim
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
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.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 162 | |
| 2 | WATCHMAN: A Data Warehouse Intelligent Cache Manager | 1996 | 94 |
| 3 | 1997 | 80 | |
| 4 | 2006 | 50 | |
| 5 | 2005 | 40 | |
| 6 | 2003 | 34 | |
| 7 | 2022 | 26 | |
| 8 | 2010 | 25 | |
| 9 | 2016 | 23 | |
| 10 | 2018 | 23 | |
| 11 | 2021 | 20 | |
| 12 | 2002 | 16 | |
| 13 | 2005 | 15 | |
| 14 | 2011 | 15 | |
| 15 | 2005 | 14 | |
| 16 | 2007 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 1998 | 10 | |
| 20 | 2005 | 10 |
About Junho Shim
Junho Shim is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 808 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (18 papers), Semantic Web and Ontologies (16 papers), Caching and Content Delivery (5 papers), Advanced Clustering Algorithms Research (4 papers), Topic Modeling (4 papers), Web Data Mining and Analysis (4 papers), Data Management and Algorithms (4 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Computer Networks and Communications (426 citations), Information Systems (157 citations), Business and International Management (7 citations), Artificial Intelligence (188 citations) and Signal Processing (21 citations). Junho Shim has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Peter Scheuermann, Radek Vingralek, Sang‐goo Lee, Sang-goo Lee, Jonghoon Chun, Taehee Lee, Dong-kyu Kim, Young-Hoon Park, K. Selçuk Candan and Dong-Joo Lee. Their work appears in journals such as IEEE Access, Electronic Commerce Research and Applications, Expert Systems with Applications, Lecture notes in computer science and IEEE Transactions on Knowledge and Data Engineering.
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.