World's Best Scientists 2026 revealed!
Laks V. S. Lakshmanan

Laks V. S. Lakshmanan

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
78
Citations
21272
World Ranking
1219
National Ranking
40

Laks V. S. Lakshmanan 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 Laks V. S. Lakshmanan 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: 288 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Laks V. S. Lakshmanan 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 Laks V. S. Lakshmanan 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: 78 D-Index — 92nd percentile

92% 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

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2016 - ACM Distinguished Member

Overview

Laks V. S. Lakshmanan is affiliated with the University of British Columbia in Canada. Their research contributions primarily lie within the domain of Computer Science, with a notable focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Networks and Communications, and Molecular Biology.

The scientist's work spans several advanced topics, including:

  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Topic Modeling
  • Graph Theory and Algorithms
  • Natural Language Processing Techniques
  • Algorithms and Data Compression
  • Caching and Content Delivery

Among their recent publications are:

  • On Directed Densest Subgraph Discovery, 2021, ACM Transactions on Database Systems
  • A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery, 2022, Proceedings of the 2022 International Conference on Management of Data
  • FirmCore Decomposition of Multilayer Networks, 2022, Proceedings of the ACM Web Conference 2022
  • FirmTruss Community Search in Multilayer Networks, 2022, Proceedings of the VLDB Endowment
  • Finding locally densest subgraphs, 2022, Proceedings of the VLDB Endowment

The scientist has collaborated frequently with a number of researchers, including:

  • Muhammad Abdul-Mageed
  • Reynold Cheng
  • Chenhao Ma
  • Xiaokui Xiao
  • Dujian Ding

Publication venues that regularly feature their work include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • The VLDB Journal
  • Proceedings of the ACM on Management of Data
  • Proceedings of the 2022 International Conference on Management of Data

Lakshmanan was awarded the ACM Distinguished Member status in 2016.

Best Publications

  • Learning influence probabilities in social networks

    Amit Goyal;Francesco Bonchi;Laks V.S. Lakshmanan

  • CELF++: optimizing the greedy algorithm for influence maximization in social networks

    Amit Goyal;Wei Lu;Laks V.S. Lakshmanan

  • Exploratory mining and pruning optimizations of constrained associations rules

    Raymond T. Ng;Laks V. S. Lakshmanan;Jiawei Han;Alex Pang

  • TIMBER: A native XML database

    H. V. Jagadish;S. Al-Khalifa;A. Chapman;L. V. S. Lakshmanan

  • SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model

    Amit Goyal;Wei Lu;Laks V.S. Lakshmanan

  • A Foundation for Multi-dimensional Databases

    Marc Gyssens;Laks V. S. Lakshmanan

  • ProbView: a flexible probabilistic database system

    Laks V. S. Lakshmanan;Nicola Leone;Robert Ross;V. S. Subrahmanian

  • Information and Influence Propagation in Social Networks

    Wei Chen;Laks V. S. Lakshmanan;Carlos Castillo

  • Mining frequent itemsets with convertible constraints

    Jian Pei;Jiawei Han;L.V.S. Lakshmanan;L.V.S. Lakshmanan

  • A data-based approach to social influence maximization

    Amit Goyal;Francesco Bonchi;Laks V. S. Lakshmanan

  • TAX: A Tree Algebra for XML

    H. V. Jagadish;Laks V. S. Lakshmanan;Divesh Srivastava;Keith Thompson

  • A declarative language for querying and restructuring the Web

    L.V.S. Lakshmanan;F. Sadri;I.N. Subramanian

  • Minimization of tree pattern queries

    Sihem Amer-Yahia;SungRan Cho;Laks V. S. Lakshmanan;Divesh Srivastava

  • Quotient cube: how to summarize the semantics of a data cube

    Laks V. S. Lakshmanan;Jian Pei;Jiawei Han

  • FleXPath: flexible structure and full-text querying for XML

    Sihem Amer-Yahia;Laks V. S. Lakshmanan;Shashank Pandit

  • SchemaSQL - A Language for Interoperability in Relational Multi-Database Systems

    Laks V. S. Lakshmanan;Fereidoon Sadri;Iyer N. Subramanian

  • On approximating optimum repairs for functional dependency violations

    Solmaz Kolahi;Laks V. S. Lakshmanan

  • It takes variety to make a world: diversification in recommender systems

    Cong Yu;Laks Lakshmanan;Sihem Amer-Yahia

  • Constraint-based, multidimensional data mining

    Jiawei Han;L.V.S. Lakshmanan;R.T. Ng

  • Constraint-based clustering in large databases

    Anthony K. H. Tung;Raymond T. Ng;Laks V. S. Lakshmanan;Jiawei Han

  • Proceedings of the 2008 ACM SIGMOD international conference on Management of data

    Laks V. S. Lakshmanan;Raymond T. Ng;Dennis Shasha

Frequent Co-Authors

Divesh Srivastava
Divesh Srivastava AT&T (United States)
Raymond T. Ng
Raymond T. Ng University of British Columbia
Hosagrahar V. Jagadish
Hosagrahar V. Jagadish University of Michigan–Ann Arbor
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Sihem Amer-Yahia
Sihem Amer-Yahia Grenoble Alpes University
Francesco Bonchi
Francesco Bonchi Institute for Scientific Interchange
Jian Pei
Jian Pei Duke University
Theodore Johnson
Theodore Johnson AT&T (United States)
Cong Yu
Cong Yu Google (United States)
Anthony K. H. Tung
Anthony K. H. Tung National University of Singapore

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