Kyuseok Shim
- Artificial Intelligence top 0.5%
- Signal Processing top 0.1%
- Computer Networks and Communications top 0.5%
- Information Systems top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Rajeev RastogiSudipto GuhaSurajit ChaudhuriHarpreet SawhneyKing-Ip LinRakesh AgrawalMinos GarofalakisKaushik Chakrabarti
- Topics
- Data Management and Algorithms (21 papers)Advanced Database Systems and Queries (17 papers)Network Security and Intrusion Detection (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Kyuseok Shim
50 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 2.4k
- Signal Processing 2.3k
- Computer Networks and Communications 1.5k
- Information Systems 1.1k
- Computer Vision and Pattern Recognition 801
Countries citing papers authored by Kyuseok Shim
This map shows the geographic impact of Kyuseok 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 Kyuseok Shim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyuseok Shim more than expected).
Fields of papers citing papers by Kyuseok Shim
This network shows the impact of papers produced by Kyuseok 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 Kyuseok Shim. The network helps show where Kyuseok Shim may publish in the future.
Co-authorship network of co-authors of Kyuseok Shim
This figure shows the co-authorship network connecting the top 25 collaborators of Kyuseok Shim. A scholar is included among the top collaborators of Kyuseok Shim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kyuseok Shim. Kyuseok Shim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | DTD Inference from XML Documents: The XTRACT Approach. | 10 |
| 14 | 157 | |
| 15 | Storage and Retrieval of XML Data Using Relational Databases | 5 |
| 16 | A Subsequence Matching Algorithm Supporting Moving Average Transform of Arbitrary Order in Time-Series Databases | 1 |
| 17 | Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases | 409 |
| 18 | Maintenance of Materialized Views: Problems, Techniques, and Applications. | 200 |
| 19 | Including Group-By in Query Optimization | 138 |
| 20 | Query Optimization in the Presence of Foreign Functions | 59 |
About Kyuseok Shim
Kyuseok Shim is a scholar working on Signal Processing, Computer Networks and Communications and Software, having authored 54 papers that have together received 4.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (21 papers), Advanced Database Systems and Queries (17 papers) and Network Security and Intrusion Detection (14 papers). The work is most often cited by research in Signal Processing (2.3k citations), Artificial Intelligence (2.4k citations) and Computer Networks and Communications (1.5k citations). Kyuseok Shim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Rajeev Rastogi, Sudipto Guha, Surajit Chaudhuri, Harpreet Sawhney, King-Ip Lin, Rakesh Agrawal, Minos Garofalakis, Kaushik Chakrabarti, Nick Koudas and Timos Sellis. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access 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.