H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 5,952 168 World Ranking 8798 National Ranking 508

Research.com Recognitions

Awards & Achievements

2009 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Computer network

Ubiquitous computing, Data science, Distributed computing, Context-aware pervasive systems and Artificial intelligence are his primary areas of study. His work carried out in the field of Ubiquitous computing brings together such families of science as Knowledge management, Frame, Middleware, World Wide Web and Data structure. Simon Dobson has researched Data science in several fields, including Range, Open research, Context model and Autonomic computing.

His studies in Range integrate themes in fields like Face, Programming paradigm and Identification. His study looks at the relationship between Distributed computing and fields such as State, as well as how they intersect with chemical problems. The Context-aware pervasive systems study combines topics in areas such as Service discovery and Service.

His most cited work include:

  • A survey of autonomic communications (566 citations)
  • Context is key (444 citations)
  • Review: Situation identification techniques in pervasive computing: A review (341 citations)

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

Simon Dobson focuses on Distributed computing, Ubiquitous computing, Wireless sensor network, Human–computer interaction and Data science. His Distributed computing study also includes

  • Thread and related Virtual machine,
  • Scalability that intertwine with fields like Data structure. His research in the fields of Context-aware pervasive systems overlaps with other disciplines such as End-user computing.

Simon Dobson usually deals with Context-aware pervasive systems and limits it to topics linked to Autonomic computing and State. His biological study spans a wide range of topics, including Key distribution in wireless sensor networks, Real-time computing, Network topology and Fault detection and isolation. His work deals with themes such as Machine learning and Artificial intelligence, which intersect with Home automation.

He most often published in these fields:

  • Distributed computing (25.58%)
  • Ubiquitous computing (25.58%)
  • Wireless sensor network (16.28%)

What were the highlights of his more recent work (between 2014-2021)?

  • Data science (13.95%)
  • Wireless sensor network (16.28%)
  • Artificial intelligence (9.77%)

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

His main research concerns Data science, Wireless sensor network, Artificial intelligence, Activity recognition and Complex network. The study incorporates disciplines such as Ubiquitous computing, Structure, Open research and Cyber-physical system in addition to Data science. Simon Dobson studies Context-aware pervasive systems which is a part of Ubiquitous computing.

His study in Wireless sensor network is interdisciplinary in nature, drawing from both Service provider, Software, Software deployment and Linear model. His Artificial intelligence research incorporates elements of Machine learning, State and Autonomic computing. Simon Dobson works mostly in the field of Activity recognition, limiting it down to topics relating to Home automation and, in certain cases, Semantics, Data mining, Statistical model, Feature learning and Human–computer interaction.

Between 2014 and 2021, his most popular works were:

  • KCAR: A knowledge-driven approach for concurrent activity recognition (64 citations)
  • Developing pervasive multi-agent systems with nature-inspired coordination (64 citations)
  • Semantic web technologies in pervasive computing (53 citations)

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

  • Artificial intelligence
  • Programming language
  • Computer network

Simon Dobson mainly investigates Artificial intelligence, Activity recognition, Ubiquitous computing, Home automation and Complex network. His Artificial intelligence research includes elements of Field, Machine learning, State and Autonomic computing. His study explores the link between Activity recognition and topics such as Semantics that cross with problems in Binary sensors, Fault detection and isolation, Anomaly detection, Identification and Domain knowledge.

His Ubiquitous computing study combines topics in areas such as Multi-agent system, Middleware, Open research and Data science. The study incorporates disciplines such as Knowledge management, Semantic Web, Frame, Context awareness and Interoperability in addition to Data science. Simon Dobson interconnects Social Semantic Web, Service discovery, Data stream mining and World Wide Web in the investigation of issues within Context-aware pervasive systems.

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

A survey of autonomic communications

Simon Dobson;Spyros Denazis;Antonio Fernández;Dominique Gaïti.
ACM Transactions on Autonomous and Adaptive Systems (2006)

904 Citations

Context is key

Joëlle Coutaz;James L. Crowley;Simon Dobson;David Garlan.
Communications of The ACM (2005)

720 Citations

Review: Situation identification techniques in pervasive computing: A review

Juan Ye;Simon Dobson;Susan McKeever.
Pervasive and Mobile Computing (2012)

569 Citations

Ontology-based models in pervasive computing systems

Juan Ye;Lorcan Coyle;Simon Dobson;Paddy Nixon.
Knowledge Engineering Review (2007)

273 Citations

Fulfilling the Vision of Autonomic Computing

S. Dobson;R. Sterritt;P. Nixon;M. Hinchey.
IEEE Computer (2010)

207 Citations

Energy-Efficient Sensing in Wireless Sensor Networks Using Compressed Sensing

Mohammad Abdur Razzaque;Simon Andrew Dobson.
Sensors (2014)

178 Citations

Compression in wireless sensor networks: A survey and comparative evaluation

M. A. Razzaque;Chris Bleakley;Simon Dobson.
ACM Transactions on Sensor Networks (2013)

164 Citations

Activity recognition using temporal evidence theory

Susan Mckeever;Juan Ye;Lorcan Coyle;Chris Bleakley.
ambient intelligence (2010)

118 Citations

High-Accuracy Reference-Free Ultrasonic Location Estimation

M. M. Saad;C. J. Bleakley;T. Ballal;S. Dobson.
IEEE Transactions on Instrumentation and Measurement (2012)

111 Citations

Social sensors and pervasive services: Approaches and perspectives

Alberto Rosi;Marco Mamei;Franco Zambonelli;Simon Dobson.
pervasive computing and communications (2011)

109 Citations

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Best Scientists Citing Simon Dobson

Franco Zambonelli

Franco Zambonelli

University of Modena and Reggio Emilia

Publications: 63

Mirko Viroli

Mirko Viroli

University of Bologna

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Danny Weyns

Danny Weyns

KU Leuven

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Erol Gelenbe

Erol Gelenbe

Institute of Theoretical and Applied Informatics

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Chris D. Nugent

Chris D. Nugent

University of Ulster

Publications: 23

Andrea Omicini

Andrea Omicini

University of Bologna

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Marco Mamei

Marco Mamei

University of Modena and Reggio Emilia

Publications: 20

Schahram Dustdar

Schahram Dustdar

TU Wien

Publications: 17

Arkady Zaslavsky

Arkady Zaslavsky

Deakin University

Publications: 16

Zakaria Maamar

Zakaria Maamar

Zayed University

Publications: 14

Guy Pujolle

Guy Pujolle

Sorbonne University

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Ioannis Kompatsiaris

Ioannis Kompatsiaris

Information Technologies Institute, Greece

Publications: 13

Vincenzo Loia

Vincenzo Loia

University of Salerno

Publications: 11

Hausi A. Müller

Hausi A. Müller

University of Victoria

Publications: 11

Jun Han

Jun Han

Swinburne University of Technology

Publications: 11

Sam Malek

Sam Malek

University of California, Irvine

Publications: 10

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