2026 Kyuseok Shim: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	57	3727	3622	23	23	206	30748

Research.com Recognitions

2019 - IEEE Fellow For contributions to scalable data mining and database query processing
2013 - ACM Fellow For contributions to scalable data mining and query processing.

Overview

Kyuseok Shim is a researcher affiliated with Seoul National University in South Korea. Their work predominantly spans the field of Computer Science, with significant contributions intersecting Atmospheric Science and related disciplines. Their research outputs reflect a multidisciplinary approach integrating data management, environmental science, and artificial intelligence techniques.

The main fields and subfields of study Kyuseok Shim has contributed to include:

Computer Science
Artificial Intelligence
Atmospheric Science
Global and Planetary Change
Information Systems
Materials Chemistry

The primary topics covered in their research encompass:

Atmospheric chemistry and aerosols
Atmospheric aerosols and clouds
Air Quality and Health Impacts
Natural Language Processing Techniques
Data Quality and Management
Atmospheric Ozone and Climate
Quantum Information and Cryptography

Kyuseok Shim has published in several recognized venues, with some of the frequent publication outlets including:

Atmospheric Pollution Research
Nuclear Engineering and Technology
Journal of KIISE
arXiv (Cornell University)
The Transactions of The Korean Institute of Electrical Engineers

Recent papers demonstrate a blend of atmospheric research and computational techniques. Selected significant publications include:

"Exacerbation of PM2.5 concentration due to unpredictable weak Asian dust storm: A case study of an extraordinarily long-lasting spring haze episode in Seoul, Korea" (2022, Atmospheric Environment)
"Light-absorption enhancement of black carbon in the Asian outflow inferred from airborne SP2 and in-situ measurements during KORUS-AQ" (2021, The Science of The Total Environment)
"Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation" (2022, IEEE Transactions on Knowledge and Data Engineering)
"Local and transboundary impacts of PM2.5 sources identified in Seoul during the early stage of the COVID-19 outbreak" (2022, Atmospheric Pollution Research)
"Key-count differential-based proactive key relay algorithm for scalable quantum-secured networking" (2023, Journal of Optical Communications and Networking)

Kyuseok Shim collaborates frequently with several co-authors, including:

Sang-Woo Kim
Woohwan Jung
Wonhyuk Lee
Chang-Keun Song
Man-Hae Kim

The researcher received notable recognitions such as:

IEEE Fellow (2019) for contributions to scalable data mining and database query processing
ACM Fellow (2013) for contributions to scalable data mining and query processing

Best Publications

Cure: an efficient clustering algorithm for large databases

Sudipto Guha;Rajeev Rastogi;Kyuseok Shim

4758
Citations
CURE: an efficient clustering algorithm for large databases

Sudipto Guha;Rajeev Rastogi;Kyuseok Shim

3986
Citations
ROCK: a robust clustering algorithm for categorical attributes

Sudipto Guha;Rajeev Rastogi;Kyuseok Shim

2881
Citations
Efficient algorithms for mining outliers from large data sets

Sridhar Ramaswamy;Rajeev Rastogi;Kyuseok Shim

2859
Citations
ROCK: a robust clustering algorithm for categorical attributes

S. Guha;R. Rastogi;K. Shim

2761
Citations
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases

Rakesh Agrawal;King-Ip Lin;Harpreet S. Sawhney;Kyuseok Shim

1116
Citations
Mining sequential patterns with regular expression constraints

M. Garofalakis;R. Rastogi;K. Shim

938
Citations
Approximate Query Processing Using Wavelets

Kaushik Chakrabarti;Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim

772
Citations
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints

Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim

737
Citations
Optimizing queries with materialized views

S. Chaudhuri;R. Krishnamurthy;S. Potamianos;K. Shim

666
Citations
APEX: an adaptive path index for XML data

Chin-Wan Chung;Jun-Ki Min;Kyuseok Shim

484
Citations
Data-streams and histograms

Sudipto Guha;Nick Koudas;Kyuseok Shim

407
Citations
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning

Rajeev Rastogi;Kyuseok Shim

403
Citations
Including Group-By in Query Optimization

Surajit Chaudhuri;Kyuseok Shim

400
Citations
WALRUS: a similarity retrieval algorithm for image databases

Apostol Natsev;Rajeev Rastogi;Kyuseok Shim

373
Citations
XTRACT: a system for extracting document type descriptors from XML documents

Minos Garofalakis;Aristides Gionis;Rajeev Rastogi;S. Seshadri

371
Citations
Optimization of queries with user-defined predicates

Surajit Chaudhuri;Kyuseok Shim

286
Citations
Parametric query optimization

Yannis E. Ioannidis;Raymond T. Ng;Kyuseok Shim;Timos K. Sellis

255
Citations
Maintenance of Materialized Views: Problems, Techniques, and Applications.

Surajit Chaudhuri;Kyuseok Shim

209
Citations
WALRUS: a similarity retrieval algorithm for image databases

A. Natsev;Rajeev Rastogi;K. Shim

182
Citations
Proceedings of the 23rd international conference on World wide web

Chin-Wan Chung;Andrei Broder;Kyuseok Shim;Torsten Suel

79
Citations

Frequent Co-Authors

Rajeev Rastogi Amazon (United States)

Surajit Chaudhuri Microsoft (United States)

Sudipto Guha University of Pennsylvania

Minos Garofalakis Technical University of Crete

Raymond T. Ng University of British Columbia

Rakesh Agrawal Purdue University West Lafayette

Ramakrishnan Srikant Google (United States)

Harpreet Sawhney Microsoft (United States)

Aristides Gionis Royal Institute of Technology

Torsten Suel New York University

External Links

Personal website of Kyuseok Shim Google Scholar page

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