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D-Index & Metrics

Computer Science

D-Index
82
Citations
35841
World Ranking
942
National Ranking
515

Mohammed J. Zaki 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 Mohammed J. Zaki 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: 347 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Mohammed J. Zaki 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 Mohammed J. Zaki 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: 82 D-Index — 94th percentile

94% 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

  • 2017 - IEEE Fellow For contributions to knowledge discovery and data mining
  • 2010 - ACM Distinguished Member

Overview

Mohammed J. Zaki is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily spans the field of Computer Science, with a particular emphasis on Artificial Intelligence, Information Systems, Signal Processing, Management Science and Operations Research, and Molecular Biology.

The scientist's work covers several key topics, including:

  • Advanced Graph Neural Networks
  • Topic Modeling
  • Advanced Text Analysis Techniques
  • Time Series Analysis and Forecasting
  • Stock Market Forecasting Methods
  • Data Mining Algorithms and Applications
  • Data Management and Algorithms

Among the recent papers authored or co-authored by Mohammed J. Zaki are:

  • "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings" (2020), published in arXiv (Cornell University)
  • "Global Self-Attention as a Replacement for Graph Convolution" (2022), published in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks" (2023), published in IEEE Transactions on Neural Networks and Learning Systems
  • "A Survey of Figurative Language and Its Computational Detection in Online Social Networks" (2020), published in ACM Transactions on the Web
  • "Unmasking Fracture Risk in Type 2 Diabetes: The Association of Longitudinal Glycemic Hemoglobin Level and Medications" (2021), published in The Journal of Clinical Endocrinology & Metabolism

Mohammed J. Zaki has published extensively in various venues, with notable frequent publication sources including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • ACM Transactions on Knowledge Discovery from Data

Frequent co-authors who have collaborated with Mohammed J. Zaki include:

  • Wagner Meira
  • Aparna Gupta
  • Bolun Xia
  • Yuchen Liang
  • Dmitry Krotov

In addition to journal and conference publications, Mohammed J. Zaki has contributed to book publications, including a work titled Data Mining and Machine Learning, published by Cambridge University Press in 2020.

The scientist's recognition includes being named an IEEE Fellow in 2017 for contributions to knowledge discovery and data mining. In 2010, they were also awarded the status of ACM Distinguished Member.

Best Publications

  • SPADE: An Efficient Algorithm for Mining Frequent Sequences

    Mohammed J. Zaki

  • Scalable algorithms for association mining

    M.J. Zaki

  • Parallel Algorithms for Discovery of Association Rules

    Mohammed J. Zaki;Srinivasan Parthasarathy;Mitsunori Ogihara;Wei Li

  • CHARM : An Efficient Algorithm for Closed Itemset Mining

    Mohammed Javeed Zaki;Ching-Jiu Hsiao

  • New algorithms for fast discovery of association rules

    Mohammed J Zaki;Srinivasan Parthasarathy;Mitsunori Ogihara;Wei Li

  • Data Mining and Analysis: Fundamental Concepts and Algorithms

    Mohammed J. Zaki;Wagner Meira

  • Link prediction using supervised learning

    Mohammad Al Hasan;Vineet Chaoji;Saeed Salem;Mohammed Zaki

  • Efficiently mining frequent trees in a forest: algorithms and applications

    M.J. Zaki

  • Fast vertical mining using diffsets

    Mohammed J. Zaki;Karam Gouda

  • A Survey of Link Prediction in Social Networks

    Mohammad Al Hasan;Mohammed J. Zaki

  • Parallel and distributed association mining: a survey

    M.J. Zaki

  • Efficiently mining frequent trees in a forest

    Mohammed J. Zaki

  • Generating non-redundant association rules

    Mohammed J. Zaki

  • Efficiently mining maximal frequent itemsets

    K. Gouda;M.J. Zaki

  • Efficient algorithms for mining closed itemsets and their lattice structure

    M.J. Zaki;C.-J. Hsiao

  • Mining Non-Redundant Association Rules

    Mohammed J. Zaki

  • Sequence mining in categorical domains: incorporating constraints

    Mohammed J. Zaki

  • ADMIT: anomaly-based data mining for intrusions

    Karlton Sequeira;Mohammed Zaki

  • Theoretical Foundations of Association Rules

    Mohammed J. Zaki;Mitsunori Ogihara

  • Incremental and interactive sequence mining

    S. Parthasarathy;M. J. Zaki;M. Ogihara;S. Dwarkadas

  • Data Mining and Analysis

    Mohammed J. Zaki;Wagner Meira

Frequent Co-Authors

Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Mitsunori Ogihara
Mitsunori Ogihara University of Miami
Adriano Veloso
Adriano Veloso Universidade Federal de Minas Gerais
Bart Goethals
Bart Goethals University of Antwerp
Jason T. L. Wang
Jason T. L. Wang New Jersey Institute of Technology
Hannu Toivonen
Hannu Toivonen University of Helsinki
Boleslaw K. Szymanski
Boleslaw K. Szymanski Rensselaer Polytechnic Institute
Vipin Kumar
Vipin Kumar University of Minnesota
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)

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