2026 Geoffrey I. Webb: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	78	1177	1138	26	26	340	30445

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

Geoffrey I. Webb is affiliated with Monash University in Australia. Their academic work primarily spans the field of Computer Science with 253 publications.

Their research covers several subfields, including:

Artificial Intelligence
Signal Processing
Molecular Biology
Electrical and Electronic Engineering
Information Systems

The main topics of their research output involve:

Time Series Analysis and Forecasting
Anomaly Detection Techniques and Applications
Machine Learning in Bioinformatics
Energy Load and Power Forecasting
Smart Grid Energy Management
Music and Audio Processing
Web Data Mining and Analysis

Geoffrey I. Webb has frequently published in a variety of venues, notably:

Zenodo (CERN European Organization for Nuclear Research)
OPAL (Open@LaTrobe) (La Trobe University)
arXiv (Cornell University)
Data Mining and Knowledge Discovery
Briefings in Bioinformatics

They have collaborated extensively with several researchers, with frequent co-authors including:

Christoph Bergmeir
Rakshitha Godahewa
Pablo Montero-Manso
Rob J. Hyndman
Chang Wei Tan

Recent publications provide insight into the scope of their research interests. These include:

iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization, 2021, Nucleic Acids Research
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
Deep Learning for Time Series Anomaly Detection: A Survey, 2024, ACM Computing Surveys
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification, 2022, Data Mining and Knowledge Discovery
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey, 2024, ACM Computing Surveys

Geoffrey I. Webb has authored books published by Springer Science+Business Media, such as Advances in Knowledge Discovery and Data Mining (2022).

Best Publications

Encyclopedia of Machine Learning

Claude Sammut;Geoffrey I. Webb

2330
Citations
InceptionTime: Finding AlexNet for time series classification

Hassan Ismail Fawaz;Benjamin Lucas;Germain Forestier;Germain Forestier;Charlotte Pelletier;Charlotte Pelletier

2253
Citations
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

Angus Dempster;François Petitjean;Geoffrey I. Webb

1443
Citations
Not so naive Bayes: aggregating one-dependence estimators

Geoffrey I. Webb;Janice R. Boughton;Zhihai Wang

926
Citations
MultiBoosting: A Technique for Combining Boosting and Wagging

Geoffrey I. Webb

925
Citations
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Longbing Cao;Chengqi Zhang;Thorsten Joachims;Geoff Webb

770
Citations
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.

Zhen Chen;Pei Zhao;Fuyi Li;André Leier

670
Citations
MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification

Angus Dempster;Daniel F. Schmidt;Geoffrey I. Webb

614
Citations
Machine Learning for User Modeling

Geoffrey I. Webb;Michael J. Pazzani;Daniel Billsus

606
Citations
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

Charlotte Pelletier;Geoffrey I. Webb;François Petitjean

576
Citations
Characterizing concept drift

Geoffrey I. Webb;Roy Hyde;Hong Cao;Hai Long Nguyen

524
Citations
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining

Petra Kralj Novak;Nada Lavrač;Geoffrey I. Webb

498
Citations
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data.

Zhen Chen;Pei Zhao;Fuyi Li;Tatiana T Marquez-Lago

404
Citations
A novel selective naïve Bayes algorithm

Shenglei Chen;Geoffrey I. Webb;Linyuan Liu;Xin Ma

385
Citations
Lazy Learning of Bayesian Rules

Zijian Zheng;Geoffrey I. Webb

370
Citations
Encyclopedia of Machine Learning and Data Mining

Claude Sammut;Geoffrey I. Webb

368
Citations
Multistrategy ensemble learning: reducing error by combining ensemble learning techniques

G.I. Webb;Z. Zheng

365
Citations
Discovering significant patterns

Geoffrey I. Webb

339
Citations
TS-CHIEF: a scalable and accurate forest algorithm for time series classification

Ahmed Shifaz;Charlotte Pelletier;Charlotte Pelletier;François Petitjean;Geoffrey I. Webb

321
Citations
Discretization for naive-Bayes learning: managing discretization bias and variance

Ying Yang;Geoffrey I. Webb

315
Citations
OPUS: an efficient admissible algorithm for unordered search

Geoffrey I. Webb

304
Citations
Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification

Francois Petitjean;Germain Forestier;Geoffrey I. Webb;Ann E. Nicholson

295
Citations

Frequent Co-Authors

Jiangning Song Monash University

Tatsuya Akutsu Kyoto University

André Leier University of Alabama at Birmingham

Kuo-Chen Chou The Gordon Life Science Institute

Kai Ming Ting Nanjing University

James C. Whisstock Monash University

Trevor Lithgow Monash University

Robert N. Pike La Trobe University

Bart Goethals University of Antwerp

Chengqi Zhang Hong Kong Polytechnic University

External Links

Wikipedia of Geoffrey I. Webb Personal website of Geoffrey I. Webb Google Scholar page

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