World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
67
Citations
24800
World Ranking
2150
National Ranking
68

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Alistair Moffat is affiliated with the University of Melbourne in Australia and has contributed extensively to the field of computer science, particularly focusing on information retrieval and related areas. Their research output spans multiple significant topics and subfields, providing insights across a wide range of subjects within the discipline.

The main areas of study for Moffat include:

  • Information Systems
  • Artificial Intelligence
  • Signal Processing
  • Management Information Systems
  • Management Science and Operations Research

Moffat's research addresses several key topics in computer science, such as:

  • Information Retrieval and Search Behavior
  • Semantic Web and Ontologies
  • Data Management and Algorithms
  • Business Process Modeling and Analysis
  • Topic Modeling
  • Algorithms and Data Compression
  • Service-Oriented Architecture and Web Services

The scientist's recent publications demonstrate a focus on the evaluation and effectiveness of recommender and retrieval systems. Key recent papers include:

  • "Offline evaluation options for recommender systems," 2020, Information Retrieval
  • "Offline recommender system evaluation: Challenges and new directions," 2022, AI Magazine
  • "A Flexible Framework for Offline Effectiveness Metrics," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Batch Evaluation Metrics in Information Retrieval: Measures, Scales, and Meaning," 2022, IEEE Access
  • "The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures," 2023, ACM Transactions on Information Systems

Frequent collaborators include:

  • Joel Mackenzie
  • Artem Polyvyanyy
  • Luciano García-Bañuelos
  • Hanan Alkhammash
  • Matthias Petri

Publications are commonly found in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • ACM Transactions on Information Systems
  • Information Processing & Management
  • Information Retrieval

The breadth of Moffat's work covers a substantial number of contributions to computer science with a clear orientation towards the technical and methodological aspects of information systems and retrieval. They have developed frameworks and metrics used in offline system evaluation and have investigated the variability and consistency of effectiveness measures within information retrieval systems.

Best Publications

  • Managing Gigabytes: Compressing and Indexing Documents and Images

    I.H. Witten;A. Moffat;T.C. Bell

  • Inverted files for text search engines

    Justin Zobel;Alistair Moffat

  • Managing gigabytes (2nd ed.): compressing and indexing documents and images

    Ian H. Witten;Alistair Moffat;Timothy C. Bell

  • Arithmetic coding revisited

    Alistair Moffat;Radford M. Neal;Ian H. Witten

  • A similarity measure for indefinite rankings

    William Webber;Alistair Moffat;Justin Zobel

  • Rank-biased precision for measurement of retrieval effectiveness

    Alistair Moffat;Justin Zobel

  • Implementing the PPM data compression scheme

    A. Moffat

  • Off-line dictionary-based compression

    N.J. Larsson;A. Moffat

  • Self-indexing inverted files for fast text retrieval

    Alistair Moffat;Justin Zobel

  • Exploring the similarity space

    Justin Zobel;Alistair Moffat

  • Inverted files versus signature files for text indexing

    Justin Zobel;Alistair Moffat;Kotagiri Ramamohanarao

  • From Theory to Practice: Plug and Play with Succinct Data Structures

    Simon Gog;Timo Beller;Alistair Moffat;Matthias Petri

  • Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval

    Ricardo Baeza-Yates;Mounia Lalmas;Alistair Moffat;Berthier Ribeiro-Neto

  • Inverted Index Compression Using Word-Aligned Binary Codes

    Vo Ngoc Anh;Alistair Moffat

  • Offline dictionary-based compression

    N.J. Larsson;A. Moffat

  • Vector-space ranking with effective early termination

    Vo Ngoc Anh;Owen de Kretser;Alistair Moffat

  • Improvements that don't add up: ad-hoc retrieval results since 1998

    Timothy G. Armstrong;Alistair Moffat;William Webber;Justin Zobel

  • Word-based text compression

    A. Moffat

  • Similarity measures for tracking information flow

    Donald Metzler;Yaniv Bernstein;W. Bruce Croft;Alistair Moffat

  • Compression and coding algorithms

    Alistair Moffat;Andrew Turpin

  • Pruned query evaluation using pre-computed impacts

    Vo Ngoc Anh;Alistair Moffat

  • Man-aging Gigabytes: Compressing and Indexing Docu-ments and Images

    Ian H. Witten;Alistair Moffat;Timothy C. Bell

Frequent Co-Authors

Justin Zobel
Justin Zobel University of Melbourne
Andrew Turpin
Andrew Turpin University of Melbourne
Falk Scholer
Falk Scholer RMIT University
Ian H. Witten
Ian H. Witten University of Waikato
Tim Bell
Tim Bell University of Canterbury
Ricardo Baeza-Yates
Ricardo Baeza-Yates Royal Institute of Technology
Timothy Baldwin
Timothy Baldwin University of Melbourne
Mark Sanderson
Mark Sanderson RMIT University
Gary Marchionini
Gary Marchionini University of North Carolina at Chapel Hill
Nivio Ziviani
Nivio Ziviani Universidade Federal de Minas Gerais

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