World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7603
World Ranking
10096
National Ranking
4260

Lawrence B. Holder 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 Lawrence B. Holder 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: 232 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Lawrence B. Holder 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 Lawrence B. Holder 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: 38 D-Index — 30th percentile

30% 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

  • 2008 - ACM Senior Member

Overview

Lawrence B. Holder is affiliated with Washington State University in the United States and conducts research primarily in the field of computer science. Their work intersects various subfields, including artificial intelligence, molecular biology, signal processing, computer vision and pattern recognition, and biomedical engineering.

Holder has contributed notably to research topics such as anomaly detection techniques and applications, data stream mining techniques, time series analysis and forecasting, epigenetics and DNA methylation, reinforcement learning in robotics, dementia and cognitive impairment research, and fault detection and control systems.

Frequent collaborators in Holder's research include Christopher Pereyda, Michael K. Skinner, Terrance E. Boult, Pegah Mavaie, and Colin Greeley.

Holder's recent papers showcase interdisciplinary approaches spanning computational methods and biological applications. Selected recent publications are:

  • "Hybrid deep learning approach to improve classification of low-volume high-dimensional data" (2023), published in BMC Bioinformatics
  • "Towards a Unifying Framework for Formal Theories of Novelty" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Multiple generation distinct toxicant exposures induce epigenetic transgenerational inheritance of enhanced pathology and obesity" (2023), published in Current Zoology
  • "Scalable deep learning artificial intelligence histopathology slide analysis and validation" (2024), published in Scientific Reports
  • "Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction" (2022), published in ACM Transactions on Computing for Healthcare

The venues frequently featuring their work include arXiv (Cornell University), BMC Bioinformatics, Current Zoology, Proceedings of the AAAI Conference on Artificial Intelligence, and Scientific Reports.

Lawrence B. Holder was recognized as an ACM Senior Member in 2008, reflecting standing within the computing community.

Best Publications

  • Substructure discovery using minimum description length and background knowledge

    Diane J. Cook;Lawrence B. Holder

  • Mining Graph Data

    Diane J. Cook;Lawrence B. Holder

  • Discovering Activities to Recognize and Track in a Smart Environment

    P Rashidi;D J Cook;L B Holder;M Schmitter-Edgecombe

  • Graph-based data mining

    D.J. Cook;L.B. Holder

  • Substructure discovery in the SUBDUE system

    Lawrence B. Holder;Diane J. Cook;Surnjani Djoko

  • Mining Graph Data: Cook/Mining Graph Data

    Diane J. Cook;Lawrence B. Holder

  • Discovering Structural Anomalies in Graph-Based Data

    William Eberle;Lawrence Holder

  • Graph-based hierarchical conceptual clustering

    Istvan Jonyer;Diane J. Cook;Lawrence B. Holder

  • Insider Threat Detection Using a Graph-Based Approach

    William Eberle;Jeffrey Graves;Lawrence Holder

  • Managing Adaptive Versatile Environments

    G.M. Youngblood;L.B. Holder;D.J. Cook

  • Anomaly detection in data represented as graphs

    William Eberle;Lawrence Holder

  • Subdue: compression-based frequent pattern discovery in graph data

    Nikhil S. Ketkar;Lawrence B. Holder;Diane J. Cook

  • Machine learning for epigenetics and future medical applications

    Lawrence B. Holder;M. Muksitul Haque;Michael K. Skinner

  • Decision-theoretic cooperative sensor planning

    D.J. Cook;P. Gmytrasiewicz;L.B. Holder

  • MDL-BASED CONTEXT-FREE GRAPH GRAMMAR INDUCTION AND APPLICATIONS

    Istvan Jonyer;Lawrence B. Holder;Diane J. Cook

  • Conditional random fields for activity recognition in smart environments

    Ehsan Nazerfard;Barnan Das;Lawrence B. Holder;Diane J. Cook

  • Automation intelligence for the smart environment

    G. Michael Youngblood;Edwin O. Heierman;Lawrence B. Holder;Diane J. Cook

  • Graph-Based Data Mining.

    Lawrence B. Holder

  • Approaches to Parallel Graph-Based Knowledge Discovery

    Diane J. Cook;Lawrence B. Holder;Gehad Galal;Ron Maglothin

  • Insider Threat Detection Using Graph-Based Approaches

    William Eberle;Lawrence Holder

  • A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs

    Sutanay Choudhury;Lawrence B. Holder;George Chin;Khushbu Agarwal

  • Advanced Methods for Knowledge Discovery from Complex Data

    Sanghamitra Bandyopadhyay;Ujjwal Maulik;Lawrence B. Holder;Diane Cook

  • GRAPH-BASED HIERARCHICAL CONCEPTUAL CLUSTERING

    Istvan Jonyer;Lawrence B. Holder;Diane J. Cook

Frequent Co-Authors

Diane J. Cook
Diane J. Cook Washington State University
Maureen Schmitter-Edgecombe
Maureen Schmitter-Edgecombe Washington State University
Michael K. Skinner
Michael K. Skinner Washington State University
Indrajit Ray
Indrajit Ray Colorado State University
Ujjwal Maulik
Ujjwal Maulik Jadavpur University
Tina Eliassi-Rad
Tina Eliassi-Rad Northeastern University
Horst Bunke
Horst Bunke University of Bern
Nitesh V. Chawla
Nitesh V. Chawla University of Notre Dame
Walter J. Scheirer
Walter J. Scheirer University of Notre Dame
Albert Bifet
Albert Bifet University of Waikato

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