D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 6,800 112 World Ranking 8053 National Ranking 466

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Computer network

His main research concerns World Wide Web, Semantic Web, The Internet, Wireless sensor network and Semantic Sensor Web. As part of his studies on World Wide Web, Payam Barnaghi often connects relevant subjects like Service. His research integrates issues of Decision support system, Data stream mining, Knowledge extraction and Distributed database in his study of Semantic Web.

His The Internet research includes themes of Radio-frequency identification, Information management and Big data. His Wireless sensor network study combines topics in areas such as Ontology, Internet access and Information security. In Semantic Sensor Web, Payam Barnaghi works on issues like Sensor web, which are connected to Visual sensor network.

His most cited work include:

  • Ontology paper: The SSN ontology of the W3C semantic sensor network incubator group (951 citations)
  • Semantics for the Internet of Things: Early Progress and Back to the Future (368 citations)
  • Machine Learning for Internet of Things Data Analysis: A Survey (299 citations)

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

World Wide Web, Artificial intelligence, Information retrieval, Semantic Web and Data mining are his primary areas of study. In general World Wide Web, his work in The Internet, Web of Things and Interoperability is often linked to Semantic Sensor Web linking many areas of study. His biological study spans a wide range of topics, including Machine learning and Natural language processing.

His work in the fields of Information retrieval, such as Ontology, Semantic search and Human–computer information retrieval, intersects with other areas such as Structure. The Semantic Web study combines topics in areas such as Hypermedia, Multimedia and Presentation. His work carried out in the field of Data mining brings together such families of science as Dynamic data and Cluster analysis.

He most often published in these fields:

  • World Wide Web (27.74%)
  • Artificial intelligence (20.00%)
  • Information retrieval (14.84%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (20.00%)
  • Machine learning (12.26%)
  • Artificial neural network (5.81%)

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

Payam Barnaghi mostly deals with Artificial intelligence, Machine learning, Artificial neural network, Risk analysis and Deep learning. In general Artificial intelligence study, his work on Bayesian network often relates to the realm of Causal inference, thereby connecting several areas of interest. His studies deal with areas such as Classifier and Cache as well as Machine learning.

His Artificial neural network research is multidisciplinary, incorporating elements of Data processing system, Real-time computing, Data logger and Pattern recognition. His Deep learning research incorporates elements of Unsupervised learning and Activity recognition. His Bayesian probability research integrates issues from Data mining and Missing data.

Between 2019 and 2021, his most popular works were:

  • A Digital Platform for Remote Healthcare Monitoring (6 citations)
  • Continual Learning Using Task Conditional Neural Networks. (4 citations)
  • A New Pattern Representation Method for Time-series Data (4 citations)

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

  • Artificial intelligence
  • The Internet
  • Computer network

His primary areas of study are Artificial intelligence, Machine learning, Artificial neural network, Deep learning and MNIST database. Payam Barnaghi works on Artificial intelligence which deals in particular with Supervised learning. His Artificial neural network research is multidisciplinary, relying on both Reduction, Training set, Task and Sequence learning.

Borrowing concepts from Limited capacity, Payam Barnaghi weaves in ideas under Task. The study incorporates disciplines such as Classifier, Unsupervised learning and Activity recognition in addition to Deep learning. His studies in MNIST database integrate themes in fields like Bayesian probability, Bayesian inference and Task.

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.

Best Publications

Ontology paper: The SSN ontology of the W3C semantic sensor network incubator group

Michael Compton;Payam Barnaghi;Luis Bermudez;RaúL GarcíA-Castro.
Journal of Web Semantics (2012)

1393 Citations

Semantics for the Internet of Things: Early Progress and Back to the Future

Payam Barnaghi;Wei Wang;Cory Henson;Kerry Taylor.
International Journal on Semantic Web and Information Systems (2012)

653 Citations

Machine Learning for Internet of Things Data Analysis: A Survey

Mohammad Saeid Mahdavinejad;Mohammad Saeid Mahdavinejad;Mohammadreza Rezvan;Mohammadreza Rezvan;Mohammadamin Barekatain;Peyman Adibi.
Digital Communications and Networks (2017)

620 Citations

Service modelling for the Internet of Things

Suparna De;Payam Barnaghi;Martin Bauer;Stefan Meissner.
federated conference on computer science and information systems (2011)

284 Citations

From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors' Introduction]

Payam Barnaghi;Amit Sheth;Cory Henson.
IEEE Intelligent Systems (2013)

224 Citations

Probabilistic Topic Models for Learning Terminological Ontologies

Wei Wang;Payam Mamaani Barnaghi;Andrzej Bargiela.
IEEE Transactions on Knowledge and Data Engineering (2010)

204 Citations

CityPulse: Large Scale Data Analytics Framework for Smart Cities

Dan Puiu;Payam Barnaghi;Ralf Tonjes;Daniel Kumper.
IEEE Access (2016)

193 Citations

Publishing linked sensor data

Payam Barnaghi;Mirko Presser.
SSN'10 Proceedings of the 3rd International Conference on Semantic Sensor Networks - Volume 668 (2010)

159 Citations

IoT-Lite: A Lightweight Semantic Model for the Internet of Things

Maria Bermudez-Edo;Tarek Elsaleh;Payam Barnaghi;Kerry Taylor.
ubiquitous intelligence and computing (2016)

157 Citations

The SENSEI project: integrating the physical world with the digital world of the network of the future

Mirko Presser;Payam M. Barnaghi;Markus Eurich;Claudia Villalonga.
IEEE Communications Magazine (2009)

156 Citations

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Amit P. Sheth

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Dimitrios Georgakopoulos

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Swinburne University of Technology

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Vincenzo Loia

Vincenzo Loia

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