H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 39 Citations 5,177 314 World Ranking 4717 National Ranking 125

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Database

David Taniar mainly focuses on Data mining, Computational science, Mobile database, Mobile computing and Database. His studies deal with areas such as Reduction, Search engine indexing and Predicate as well as Data mining. His Computational science research is multidisciplinary, relying on both Visual computing, Ubiquitous computing, Wireless sensor network, Computer graphics and Theory of computation.

His Mobile database research includes elements of Range query, Tree, Voronoi diagram, Mobile search and Web search query. His Mobile computing study integrates concerns from other disciplines, such as Wireless, Radio broadcasting, Information technology and Euclidean distance. The study incorporates disciplines such as XML Schema Editor, Information retrieval, Document Structure Description and Streaming XML in addition to Database.

His most cited work include:

  • Computational Science and Its Applications – ICCSA 2005 (393 citations)
  • Computational Science and Its Applications - ICCSA 2006 (254 citations)
  • Computational Science and Its Applications (120 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Data mining, Database, Information retrieval, Mobile computing and Distributed computing. His Data mining study combines topics from a wide range of disciplines, such as Voronoi diagram, Theoretical computer science, Set and k-nearest neighbors algorithm. His Information retrieval study combines topics in areas such as XML validation, Efficient XML Interchange, XML database, XML Schema Editor and Document Structure Description.

His studies in Mobile computing integrate themes in fields like Wireless, Broadcasting and Mobile database. His work carried out in the field of Mobile database brings together such families of science as Mobile device and Mobile search. David Taniar has included themes like Grid and Grid computing in his Distributed computing study.

He most often published in these fields:

  • Data mining (18.52%)
  • Database (16.07%)
  • Information retrieval (14.26%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (5.57%)
  • Data mining (18.52%)
  • Search engine indexing (4.59%)

In recent papers he was focusing on the following fields of study:

David Taniar mostly deals with Artificial intelligence, Data mining, Search engine indexing, Environmental planning and Artificial neural network. His biological study spans a wide range of topics, including Computer vision and Pattern recognition. His Search engine indexing research includes themes of Data structure and Skyline.

Between 2018 and 2021, his most popular works were:

  • Recurrent neural network for detecting malware (7 citations)
  • A Hybrid Action-Related K-Nearest Neighbour (HAR-KNN) Approach for Recommendation Systems (7 citations)
  • IG-Tree: an efficient spatial keyword index for planning best path queries on road networks (6 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Database

His primary scientific interests are in Search engine indexing, Artificial intelligence, Computer security, Database and Data mining. Search engine indexing is a primary field of his research addressed under Information retrieval. His research on Information retrieval focuses in particular on Spatial query.

His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Software engineering and Computer vision. His research in Database intersects with topics in Digital mapping, Computational intelligence, Set, Integer and k-nearest neighbors algorithm. His biological study spans a wide range of topics, including Similarity, Recommender system and Shortest path problem.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Computational Science and Its Applications – ICCSA 2005

Osvaldo Gervasi;Marina L. Gavrilova;Vipin Kumar;Antonio Laganà.
(2005)

585 Citations

Computational Science and Its Applications - ICCSA 2006

Marina L. Gavrilova;Osvaldo Gervasi;Vipin Kumar;C. J. Kenneth Tan.
(2006)

396 Citations

Computational Science and Its Applications

Osvaldo Gervasi;David Taniar;Beniamino Murgante;Antonio Laganà.
Lecture Notes in Computer Science (2009)

182 Citations

Computational Science and Its Applications - ICCSA 2011

Beniamino Murgante;Osvaldo Gervasi;Andrés Iglesias;David Taniar.
TAEBC-2011 (2011)

179 Citations

High-Performance Parallel Database Processing and Grid Databases

David Taniar;Clement H. C. Leung;Wenny Rahayu;Sushant Goel.
(2008)

175 Citations

ODAM: An optimized distributed association rule mining algorithm

M.Z. Ashrafi;D. Taniar;K. Smith.
IEEE Distributed Systems Online (2004)

159 Citations

Computational Science and Its Applications – ICCSA 2012

Beniamino Murgante;Osvaldo Gervasi;Sanjay Misra;Nadia Nedjah.
(2012)

147 Citations

Parallel Fuzzy c-Means Clustering for Large Data Sets

Terence Kwok;Kate A. Smith;Sebastián Lozano;David Taniar.
european conference on parallel processing (2002)

140 Citations

Computational Science and Its Applications – ICCSA 2008

Osvaldo Gervasi;Beniamino Murgante;Antonio Laganà;David Taniar.
(2008)

137 Citations

Computational Science and Its Applications – ICCSA 2013

Beniamino Murgante;Sanjay Misra;Maurizio Carlini;Carmelo M. Torre.
(2013)

127 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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