World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
103
Citations
87310
World Ranking
316
National Ranking
174

George Karypis 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 George Karypis 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: 616 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

George Karypis 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 George Karypis 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: 103 D-Index — 98th percentile

98% 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

  • 2018 - IEEE Fellow For contributions to graph partitioning and data mining
  • 2014 - ACM Senior Member

Overview

George Karypis is affiliated with the University of Minnesota in the United States. Their research focuses primarily on computer science, with extensive work in several subfields including artificial intelligence, computer vision and pattern recognition, information systems, molecular biology, and computational theory and mathematics.

The scientist has contributed significantly to topics such as advanced graph neural networks, topic modeling, natural language processing techniques, graph theory and algorithms, recommender systems and techniques, complex network analysis techniques, and computational drug discovery methods.

Their recent publications demonstrate a broad range of interests and expertise. Notable papers include:

  • "Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning" (2020), published in Journal of Proteome Research
  • "Multimodal Chain-of-Thought Reasoning in Language Models" (2023), published on arXiv (Cornell University)
  • "TGL" (2022), published in Proceedings of the VLDB Endowment
  • "Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs" (2022), published in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Karypis frequently collaborates with other researchers. Their most common co-authors are:

  • Sheng Zha
  • Christos Faloutsos
  • Costas Mavromatis
  • Da Zheng
  • Vassilis N. Ioannidis

Their work has been published regularly in several venues, including:

  • arXiv (Cornell University)
  • University of Groningen research database (University of Groningen / Centre for Information Technology)
  • Proceedings of the VLDB Endowment
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 IEEE International Conference on Big Data (Big Data)

Award recognition includes the IEEE Fellow in 2018 for contributions to graph partitioning and data mining, as well as being named an ACM Senior Member in 2014.

Best Publications

  • Item-based collaborative filtering recommendation algorithms

    Badrul Sarwar;George Karypis;Joseph Konstan;John Riedl

  • A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs

    George Karypis;Vipin Kumar

  • A Comparison of Document Clustering Techniques

    Michael Steinbach;George Karypis;Vipin Kumar

  • Chameleon: hierarchical clustering using dynamic modeling

    G. Karypis;Eui-Hong Han;V. Kumar

  • Item-based top-N recommendation algorithms

    Mukund Deshpande;George Karypis

  • Analysis of recommendation algorithms for e-commerce

    Badrul Sarwar;George Karypis;Joseph Konstan;John Riedl

  • Introduction to parallel computing: design and analysis of algorithms

    Vipin Kumar;Ananth Grama;Anshul Gupta;George Karypis

  • Multilevelk-way Partitioning Scheme for Irregular Graphs

    George Karypis;Vipin Kumar

  • Application of Dimensionality Reduction in Recommender System - A Case Study

    Badrul Sarwar;George Karypis;Joseph Konstan;John T. Riedl

  • Multilevel hypergraph partitioning: applications in VLSI domain

    G. Karypis;R. Aggarwal;V. Kumar;S. Shekhar

  • METIS: A Software Package for Partitioning Unstructured Graphs, Partitioning Meshes, and Computing Fill-Reducing Orderings of Sparse Matrices

    George Karypis;Vipin Kumar

  • Frequent subgraph discovery

    M. Kuramochi;G. Karypis

  • Multilevel hypergraph partitioning: application in VLSI domain

    George Karypis;Rajat Aggarwal;Vipin Kumar;Shashi Shekhar

  • Evaluation of Item-Based Top-N Recommendation Algorithms

    George Karypis

  • Criterion Functions for Document Clustering: Experiments and Analysis

    Ying Zhao;George Karypis

  • A Comprehensive Survey of Neighborhood-based Recommendation Methods

    Christian Desrosiers;George Karypis

  • Multilevel k-way hypergraph partitioning

    George Karypis;Vipin Kumar

  • Hierarchical Clustering Algorithms for Document Datasets

    Ying Zhao;George Karypis;Usama Fayyad

  • Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering

    Ying Zhao;George Karypis

  • Evaluation of hierarchical clustering algorithms for document datasets

    Ying Zhao;George Karypis

  • Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

    Minjie Wang;Da Zheng;Zihao Ye;Quan Gan

Frequent Co-Authors

Vipin Kumar
Vipin Kumar University of Minnesota
Wei Shou Hu
Wei Shou Hu University of Minnesota
John Riedl
John Riedl University of Minnesota
Jianyong Wang
Jianyong Wang Tsinghua University
Ananth Grama
Ananth Grama Purdue University West Lafayette
Ronald N. Kostoff
Ronald N. Kostoff Georgia Institute of Technology
Bamshad Mobasher
Bamshad Mobasher DePaul University
Joseph A. Konstan
Joseph A. Konstan University of Minnesota
Manuel Mattheisen
Manuel Mattheisen Dalhousie University
Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech

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