World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
125
Citations
86340
World Ranking
115
National Ranking
69

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2021 - W. Wallace McDowell Award, IEEE Computer Society For contributions to knowledge discovery and data mining.
  • 2015 - SIAM Fellow For contributions to knowledge discovery and data mining algorithms.
  • 2013 - ACM Fellow For contributions to knowledge discovery and data mining algorithms.

Overview

Charu C. Aggarwal is a researcher affiliated with IBM in the United States, with a primary focus on computer science and medicine. Their work spans multiple subfields including artificial intelligence, pulmonary and respiratory medicine, signal processing, information systems, and computer networks and communications.

The scientist's research covers several core topics, particularly in advanced graph neural networks, anomaly detection techniques and applications, network security and intrusion detection, as well as lung cancer treatments and diagnosis. Additional areas of study include complex network analysis techniques and advanced malware detection techniques.

Charu C. Aggarwal has contributed numerous publications, often appearing in prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • ACM SIGKDD Explorations Newsletter
  • IEEE Transactions on Knowledge and Data Engineering
  • Journal of Clinical Oncology
  • ACM Computing Surveys

Recent papers authored by or involving this researcher include:

  • Deep Learning for Time Series Anomaly Detection: A Survey, 2024, ACM Computing Surveys
  • Adversarial Attacks and Defenses on Graphs, 2021, ACM SIGKDD Explorations Newsletter
  • Automated Feature Selection: A Reinforcement Learning Perspective, 2021, IEEE Transactions on Knowledge and Data Engineering
  • Sequential/Session-based Recommendations, 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Fairness and Diversity in Recommender Systems: A Survey, 2024, ACM Transactions on Intelligent Systems and Technology

The researcher collaborates frequently with other scholars. Notable co-authors include Jiliang Tang, Corey J. Langer, Tyler Derr, Roger B. Cohen, and Melina E. Marmarelis.

Throughout their career, Charu C. Aggarwal has received several professional recognitions. These include the W. Wallace McDowell Award from the IEEE Computer Society awarded in 2021 for contributions to knowledge discovery and data mining. Additionally, they were named a SIAM Fellow in 2015 and an ACM Fellow in 2013, both recognitions citing contributions to knowledge discovery and data mining algorithms.

Best Publications

  • Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

    Balaji Krishnapuram;Mohak Shah;Alex Smola;Charu Aggarwal

  • A framework for clustering evolving data streams

    Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu

  • On the Surprising Behavior of Distance Metrics in High Dimensional Spaces

    Charu C. Aggarwal;Alexander Hinneburg;Daniel A. Keim

  • Neural Networks and Deep Learning

    Charu C Aggarwal

  • An Introduction to Outlier Analysis

    Charu C. Aggarwal

  • Outlier Analysis

    Charu C. Aggarwal

  • Mining Text Data

    Charu C. Aggarwal;Cheng Xiang Zhai

  • Outlier detection for high dimensional data

    Charu C. Aggarwal;Philip S. Yu

  • Fast algorithms for projected clustering

    Charu C. Aggarwal;Joel L. Wolf;Philip S. Yu;Cecilia Procopiuc

  • On the design and quantification of privacy preserving data mining algorithms

    Dakshi Agrawal;Charu C. Aggarwal

  • Data Mining: The Textbook

    Charu C. Aggarwal

  • Feature selection for classification: A review

    Jiliang Tang;Salem Alelyani;Huan Liu

  • A General Survey of Privacy-Preserving Data Mining Models and Algorithms

    Charu C. Aggarwal;Philip S. Yu

  • A survey of text classification algorithms

    Charu C. Aggarwal;Cheng Xiang Zhai

  • Data Streams: Models and Algorithms

    Charu C. Aggarwal

  • Outlier Detection for Temporal Data: A Survey

    Manish Gupta;Jing Gao;Charu C. Aggarwal;Jiawei Han

  • A Tree Projection Algorithm for Generation of Frequent Item Sets

    Ramesh C. Agarwal;Charu C. Aggarwal;V.V.V. Prasad

  • Graph Clustering

    Unknown

  • On k -anonymity and the curse of dimensionality

    Charu C. Aggarwal

  • Data Classification: Algorithms and Applications

    Charu C. Aggarwal

  • Outlier Detection for Temporal Data

    Manish Gupta;Jing Gao;Charu Aggarwal;Jiawei Han

  • Opinion Mining and Sentiment Analysis

    Charu C. Aggarwal

Frequent Co-Authors

Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Joel L. Wolf
Joel L. Wolf IBM (United States)
Jiliang Tang
Jiliang Tang Michigan State University
Guo-Jun Qi
Guo-Jun Qi Futurewei Technologies
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Chandan K. Reddy
Chandan K. Reddy Virginia Tech
Suhang Wang
Suhang Wang Pennsylvania State University
Huan Liu
Huan Liu Arizona State University
Latifur Khan
Latifur Khan The University of Texas at Dallas

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