World's Best Scientists 2026 revealed!
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Computer Science
Ireland
2026

D-Index & Metrics

Computer Science

D-Index
82
Citations
24083
World Ranking
976
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Ireland Leader Award
  • 2025 - Research.com Computer Science in Ireland Leader Award
  • 2023 - Research.com Computer Science in Ireland Leader Award
  • 2022 - Research.com Computer Science in Ireland Leader Award
  • 2011 - Member of the Royal Irish Academy

Overview

Barry Smyth is affiliated with University College Dublin in Ireland and conducts research primarily in the field of Computer Science, with a particular focus on Artificial Intelligence. Their work spans several subfields including Economics and Econometrics, Management Science and Operations Research, Information Systems, and Orthopedics and Sports Medicine.

The scientist's research covers multiple key topics, notably:

  • Sports Performance and Training
  • Stock Market Forecasting Methods
  • Recommender Systems and Techniques
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Sports Analytics and Performance
  • Topic Modeling

Barry Smyth has contributed to a range of publications and has frequently published in venues such as arXiv (Cornell University), IEEE Access, Sports Medicine, PLoS ONE, and Lecture Notes in Computer Science. Their recent papers include:

  • "Calculation of Critical Speed from Raw Training Data in Recreational Marathon Runners," 2020, Medicine & Science in Sports & Exercise
  • "Correction: Collaboration in the time of COVID: a scientometric analysis of multidisciplinary SARS-CoV-2 research," 2021, PubMed
  • "NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Decoupling of Internal and External Workload During a Marathon: An Analysis of Durability in 82,303 Recreational Runners," 2022, Sports Medicine
  • "Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners," 2021, User Modeling and User-Adapted Interaction

Their collaborative network includes frequent co-authors such as Ruihai Dong, Aonghus Lawlor, Mark T. Keane, Derek Greene, and Rian Dolphin.

Barry Smyth was recognized as a Member of the Royal Irish Academy in 2011.

Best Publications

  • Trust in recommender systems

    John O'Donovan;Barry Smyth

  • Advances in Case-Based Reasoning

    Ian Smith;Boi Faltings

  • Retrieval, reuse, revision and retention in case-based reasoning

    Ramon Lopez De Mantaras;David McSherry;Derek Bridge;David Leake

  • Recommending twitter users to follow using content and collaborative filtering approaches

    John Hannon;Mike Bennett;Barry Smyth

  • Similarity vs. Diversity

    Barry Smyth;Paul McClave

  • Using twitter to recommend real-time topical news

    Owen Phelan;Kevin McCarthy;Barry Smyth

  • Recommendation to groups

    Anthony Jameson;Barry Smyth

  • Case-based recommender systems

    Derek Bridge;Mehmet H. Göker;Lorraine McGinty;Barry Smyth

  • Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems

    Barry Smyth;Mark T. Keane

  • A personalized television listings service

    Barry Smyth;Paul Cotter

  • Improving recommendation diversity

    Barry Smyth

  • Case-based recommendation

    Barry Smyth

  • Understanding the intent behind mobile information needs

    Karen Church;Barry Smyth

  • PTV: Intelligent Personalised TV Guides

    Paul Cotter;Barry Smyth

  • Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine

    Barry Smyth;Evelyn Balfe;Jill Freyne;Peter Briggs

  • A personalised TV listings service for the digital TV age

    B. Smyth;P. Cotter

  • Adaptation-guided retrieval: questioning the similarity assumption in reasoning

    Barry Smyth;Mark T. Keane

  • Mobile information access: A study of emerging search behavior on the mobile Internet

    Karen Church;Barry Smyth;Paul Cotter;Keith Bradley

  • Modelling the Competence of Case-Bases

    Barry Smyth;Elizabeth McKenna

  • On the role of diversity in conversational recommender systems

    Lorraine McGinty;Barry Smyth

Frequent Co-Authors

Pádraig Cunningham
Pádraig Cunningham University College Dublin
Mark T. Keane
Mark T. Keane University College Dublin
Alan F. Smeaton
Alan F. Smeaton Dublin City University
Dermot Diamond
Dermot Diamond Dublin City University
Cathal Gurrin
Cathal Gurrin Dublin City University
David B. Leake
David B. Leake Indiana University
Noel E. O'Connor
Noel E. O'Connor Dublin City University
Peter Brusilovsky
Peter Brusilovsky University of Pittsburgh
Gregory M. P. O'Hare
Gregory M. P. O'Hare Trinity College Dublin
Pearl Pu
Pearl Pu École Polytechnique Fédérale de Lausanne

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