World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9771
World Ranking
5129
National Ranking
154

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
Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology
Fatos Xhafa
Fatos Xhafa Universitat Politècnica de Catalunya

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees and alternative certifications can open multiple doors for students interested in Computer Science in the USA. One rapidly growing avenue is the data science learning path, which combines core elements of computer science, analytics, and business intelligence. Many universities now offer these programs fully online, making them more accessible than ever.

For those interested in more technical tracks, online electrical engineering courses USA have become increasingly popular. They equip students with specialized skills relevant to both hardware and software industries, expanding career options in fields like robotics and embedded systems.

Not all career advancement requires lengthy degree programs. There are certifications that pay well and can be completed quickly. These credentials are especially valuable for professionals wanting to upskill, change fields, or increase earning potential in a short amount of time.

If you’re eager to upskill fast, you might also consider the quickest cheapest masters degree programs available online. These accelerated programs often offer flexibility and affordability without compromising the quality of education, helping advance your career sooner.

Best Scientists Citing David Taniar

Trending Scientists

Recently Published Articles