World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9771
World Ranking
5130
National Ranking
155

David Taniar 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 David Taniar 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: 591 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

David Taniar 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 David Taniar 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

David Taniar is affiliated with Monash University in Australia and has contributed extensively to computer science research, focusing primarily on several interconnected fields. Their main research domains include computer networks and communications, signal processing, information systems, artificial intelligence, and computer vision and pattern recognition.

Within these subfields, David Taniar has explored topics such as data management and algorithms, advanced database systems and queries, IoT and edge/fog computing, cloud computing and resource management, big data and business intelligence, urban transport and accessibility, and human mobility and location-based analysis.

Their recent notable publications include:

  • Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images, 2024, Expert Systems with Applications
  • VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images, 2021, Diagnostics
  • Recurrent neural network for detecting malware, 2020, Computers & Security
  • A Hybrid Action-Related K-Nearest Neighbour (HAR-KNN) Approach for Recommendation Systems, 2020, IEEE Access
  • Automated segmentation of leukocyte from hematological images-a study using various CNN schemes, 2021, The Journal of Supercomputing

David Taniar frequently collaborates with other researchers, with their most common coauthors including:

  • Wenny Rahayu
  • Kiki Adhinugraha
  • Osvaldo Gervasi
  • Beniamino Murgante
  • Sanjay Misra

The scientist has published extensively in several academic venues, with multiple articles appearing in:

  • The Journal of Supercomputing
  • TUGraz OPEN Library (Graz University of Technology)
  • IEEE Access
  • Internet of Things
  • Research Square

David Taniar has also contributed to book publications, primarily with Springer Science+Business Media, releasing 14 titles mostly under the series Computational Science and Its Applications - ICCSA during 2020 and 2021. These works have received various citation counts. Additionally, they authored a book titled Data Warehousing and Analytics published by Springer International Publishing in 2021.

Overall, David Taniar's scholarly profile reveals a comprehensive engagement with computer science research, spanning both theoretical and applied areas, and contributing to advancing knowledge in multiple specialized fields through numerous collaborations and publications over the years.

Best Publications

  • Computational Science and Its Applications – ICCSA 2005

    Osvaldo Gervasi;Marina L. Gavrilova;Vipin Kumar;Antonio Laganà

  • Computational Science and Its Applications - ICCSA 2006

    Marina L. Gavrilova;Osvaldo Gervasi;Vipin Kumar;C. J. Kenneth Tan

  • k-nearest neighbors on road networks: a journey in experimentation and in-memory implementation

    Tenindra Abeywickrama;Muhammad Aamir Cheema;David Taniar

  • Computational Science and Its Applications - ICCSA 2011

    Beniamino Murgante;Osvaldo Gervasi;Andrés Iglesias;David Taniar

  • High-Performance Parallel Database Processing and Grid Databases

    David Taniar;Clement H. C. Leung;Wenny Rahayu;Sushant Goel

  • Computational Science and Its Applications

    Osvaldo Gervasi;David Taniar;Beniamino Murgante;Antonio Laganà

  • ODAM: An optimized distributed association rule mining algorithm

    M.Z. Ashrafi;D. Taniar;K. Smith

  • Parallel Fuzzy c-Means Clustering for Large Data Sets

    Terence Kwok;Kate A. Smith;Sebastián Lozano;David Taniar

  • Computational Science and Its Applications – ICCSA 2012

    Beniamino Murgante;Osvaldo Gervasi;Sanjay Misra;Nadia Nedjah

  • Computational Science and Its Applications – ICCSA 2013

    Beniamino Murgante;Sanjay Misra;Maurizio Carlini;Carmelo M. Torre

  • VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images

    Muhammad Attique Khan;Venkatesan Rajinikanth;Suresh Chandra Satapathy;David Taniar

  • Computational Science and Its Applications – ICCSA 2008

    Osvaldo Gervasi;Beniamino Murgante;Antonio Laganà;David Taniar

  • Voronoi-Based Continuous $k$ Nearest Neighbor Search in Mobile Navigation

    Geng Zhao;Kefeng Xuan;Wenny Rahayu;David Taniar

  • Web Semantics Ontology

    David Taniar;Johanna Wenny Rahayu

  • A Novel Structure and Access Mechanism for Mobile Data Broadcast in Digital Ecosystems

    Agustinus Borgy Waluyo;Wenny Rahayu;David Taniar;Bala Scrinivasan

  • Mining Association Rules in Data Warehouses

    Haorianto Cokrowijoyo Tjioe;David Taniar

  • Voronoi-based reverse nearest neighbor query processing on spatial networks

    Maytham Hassan Safar;Dariush Ibrahimi;David Taniar

  • Domain-Driven, Actionable Knowledge Discovery

    Longbing Cao;Chengqi Zhang

  • Research in mobile database query optimization and processing

    Agustinus Borgy Waluyo;Bala Srinivasan;David Taniar

  • Recurrent neural network for detecting malware

    Sudan Jha;Deepak Prashar;Hoang Viet Long;David Taniar

  • International Journal of Mobile Computing and Multimedia Communications: Guest editorial preface

    Eric Pardede;David Taniar

Frequent Co-Authors

Wenny Rahayu
Wenny Rahayu La Trobe University
Sanjay Misra
Sanjay Misra Institute for Energy Technology
Bala Srinivasan
Bala Srinivasan Monash University
Kate A. Smith
Kate A. Smith Monash University
Marina L. Gavrilova
Marina L. Gavrilova University of Calgary
Vipin Kumar
Vipin Kumar University of Minnesota
Tharam S. Dillon
Tharam S. Dillon La Trobe University
Alfredo Cuzzocrea
Alfredo Cuzzocrea University of Calabria
Stéphane Bressan
Stéphane Bressan National University of Singapore
Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology

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