World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6858
World Ranking
10161
National Ranking
637

Research.com Recognitions

  • 2009 - ACM Senior Member

Overview

Simon Dobson is affiliated with the University of St Andrews in the United Kingdom. Their research spans multiple disciplines including Physics and Astronomy, Computer Science, and Medicine, with a substantial focus on subfields such as Statistical and Nonlinear Physics, Epidemiology, Computer Vision and Pattern Recognition, Condensed Matter Physics, and Immunology.

Their work covers several key topics, which include:

  • Complex Network Analysis Techniques
  • Context-Aware Activity Recognition Systems
  • Opinion Dynamics and Social Influence
  • Theoretical and Computational Physics
  • Cervical Cancer and HPV Research
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Human Pose and Action Recognition

Dobson's recent scientific papers illustrate the diversity of their research interests and methods. Notable publications include:

  • ContrasGAN: Unsupervised domain adaptation in Human Activity Recognition via adversarial and contrastive learning (2021), published in Pervasive and Mobile Computing
  • Random graphs with arbitrary clustering and their applications (2021), published in Physical review. E
  • XLearn (2020), published in ACM Transactions on Intelligent Systems and Technology
  • Percolation in random graphs with higher-order clustering (2021), published in Physical review. E
  • Two-pathogen model with competition on clustered networks (2021), published in Physical review. E

Frequent co-authors that have collaborated with Dobson include:

  • Peter Mann
  • John B. O. Mitchell
  • Juan Ye
  • V. Anne Smith
  • Manish Sadarangani

The primary publication venues where Dobson's research appears most often are:

  • Physical review. E
  • arXiv (Cornell University)
  • ARROW@Dublin Institute of Technology (Dublin Institute of Technology)
  • Pervasive and Mobile Computing
  • IEEE Technology and Society Magazine

Dobson was recognized as an ACM Senior Member in 2009.

Best Publications

  • A survey of autonomic communications

    Simon Dobson;Spyros Denazis;Antonio Fernández;Dominique Gaïti

  • Context is key

    Joëlle Coutaz;James L. Crowley;Simon Dobson;David Garlan

  • Review: Situation identification techniques in pervasive computing: A review

    Juan Ye;Simon Dobson;Susan McKeever

  • Ontology-based models in pervasive computing systems

    Juan Ye;Lorcan Coyle;Simon Dobson;Paddy Nixon

  • Compression in wireless sensor networks: A survey and comparative evaluation

    M. A. Razzaque;Chris Bleakley;Simon Dobson

  • Fulfilling the Vision of Autonomic Computing

    S. Dobson;R. Sterritt;P. Nixon;M. Hinchey

  • Energy-Efficient Sensing in Wireless Sensor Networks Using Compressed Sensing

    Mohammad Abdur Razzaque;Simon Andrew Dobson

  • High-Accuracy Reference-Free Ultrasonic Location Estimation

    M. M. Saad;C. J. Bleakley;T. Ballal;S. Dobson

  • Social sensors and pervasive services: Approaches and perspectives

    Alberto Rosi;Marco Mamei;Franco Zambonelli;Simon Dobson

  • Activity recognition using temporal evidence theory

    Susan Mckeever;Juan Ye;Lorcan Coyle;Chris Bleakley

  • Robust High-Accuracy Ultrasonic Range Measurement System

    M. M. Saad;C. J. Bleakley;S. Dobson

  • KCAR: A knowledge-driven approach for concurrent activity recognition

    Juan Ye;Graeme Turnbull Stevenson;Simon Andrew Dobson

  • Developing pervasive multi-agent systems with nature-inspired coordination

    Franco Zambonelli;Andrea Omicini;Bernhard Anzengruber;Gabriella Castelli

  • Multiplex networks in metropolitan areas: generic features and local effects

    Emanuele Strano;Saray Shai;Simon Andrew Dobson;Marc Barthélemy

  • Ontonym: a collection of upper ontologies for developing pervasive systems

    Graeme Stevenson;Stephen Knox;Simon Dobson;Paddy Nixon

  • A top-level ontology for smart environments

    Juan Ye;Graeme Stevenson;Simon Dobson

  • USMART: An Unsupervised Semantic Mining Activity Recognition Technique

    Juan Ye;Graeme Stevenson;Simon Dobson

  • Self-aware Pervasive Service Ecosystems

    Franco Zambonelli;Gabriella Castelli;Laura Ferrari;Marco Mamei

  • Semantic web technologies in pervasive computing

    Juan Ye;Stamatia Dasiopoulou;Graeme Stevenson;Georgios Meditskos

  • Categorisation and modelling of quality in context information

    Mohammed Abhur Razzaque;Simon Dobson;Patrick Nixon

Frequent Co-Authors

Franco Zambonelli
Franco Zambonelli University of Modena and Reggio Emilia
Mirko Viroli
Mirko Viroli University of Bologna
Gregory M. P. O'Hare
Gregory M. P. O'Hare Trinity College Dublin
Marco Mamei
Marco Mamei University of Modena and Reggio Emilia
Stephen H. Gillespie
Stephen H. Gillespie University of St Andrews
Ehab Al-Shaer
Ehab Al-Shaer Carnegie Mellon University
Andrea Omicini
Andrea Omicini University of Bologna
Michael Fisher
Michael Fisher University of Manchester
Miriam Faust
Miriam Faust Bar-Ilan University

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 Computer Science in the USA opens diverse opportunities across engineering, data analysis, and science fields. Online education makes it easier than ever to access quality programs at affordable rates, helping students upskill flexibly from anywhere.

Many students expand their technical foundation through related fields like engineering or physics. For example, earning an online physics degree can sharpen your problem-solving and analytical skills, both of which are highly valued in technology careers. Alternatively, pursuing an online bachelor’s in electrical engineering can equip you with practical hardware and systems expertise relevant in many emerging industries.

For those interested in the booming realm of data, seeking the cheapest data science degree may provide a cost-effective path toward roles in data analytics, machine learning, or research. If you’re looking for faster entry into the workforce, consider targeting quick certifications that pay well—these can boost your credentials without the long-term commitment of a full degree.

Choosing the right academic and career pathway depends on your interests, timeframe, and budget. Online degrees and certifications provide versatile options to help you launch or advance a career in technology and related fields.

Best Scientists Citing Simon Dobson

Trending Scientists