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Computer Science
USA
2026

D-Index & Metrics

Computer Science

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

Charu C. Aggarwal publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Charu C. Aggarwal sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 682 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Charu C. Aggarwal D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Charu C. Aggarwal sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 125 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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