Geoffrey I. Webb

30.0k citations

252 papers · 14.1k indexed · 10 hit papers · h-index 58

Artificial Intelligence top 0.1%
Molecular Biology top 1%
Information Systems top 0.2%
Computational Theory and Mathematics top 0.2%
Signal Processing top 0.2%

Co-authors: Claude Sammut Jiangning Song Fuyi Li Tatsuya Akutsu François Petitjean Janice R. Boughton André Leier Zhihai Wang
Topics: Data Mining Algorithms and Applications (46 papers)Machine Learning in Bioinformatics (42 papers)Machine Learning and Data Classification (33 papers)
Cited by: Artificial Intelligence Signal Processing Information Systems
Journals: Nucleic Acids Research Bioinformatics PLoS ONE
Partner nations: Australia China United States

In The Last Decade

Geoffrey I. Webb

243 papers receiving 13.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Encyclopedia of Machine Learning

2010 2.6k citations Geoffrey I. Webb et al. profile →
Encyclopedia of Machine Learning and Data Mining

2017 633 citations Geoffrey I. Webb et al. profile →
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

2018 516 citations Fuyi Li, André Leier et al. Bioinformatics profile →
Not So Naive Bayes: Aggregating One-Dependence Estimators

2005 460 citations Geoffrey I. Webb et al. Machine Learning profile →
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

2019 323 citations Fuyi Li, Tatiana T. Marquez‐Lago et al. Briefings in Bioinformatics profile →
Characterizing concept drift

2016 300 citations Geoffrey I. Webb, François Petitjean et al. Data Mining and Knowledge Discovery profile →
A novel selective naïve Bayes algorithm

2019 259 citations Geoffrey I. Webb et al. profile →
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

2024 139 citations Huan Yee Koh, Qingsong Wen et al. profile →
Deep Learning for Time Series Anomaly Detection: A Survey

2024 94 citations Zahra Zamanzadeh Darban, Geoffrey I. Webb et al. profile →
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey

2024 80 citations Chang Wei Tan, Geoffrey I. Webb et al. profile →

Peers

Countries citing papers authored by Geoffrey I. Webb

Since Specialization

Citations

This map shows the geographic impact of Geoffrey I. Webb's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geoffrey I. Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey I. Webb more than expected).

Fields of papers citing papers by Geoffrey I. Webb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey I. Webb. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geoffrey I. Webb. The network helps show where Geoffrey I. Webb may publish in the future.

Co-authorship network of co-authors of Geoffrey I. Webb

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey I. Webb. A scholar is included among the top collaborators of Geoffrey I. Webb based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geoffrey I. Webb. Geoffrey I. Webb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	“Accessibility misrepresentation” in public transport 2026 ·Journal of Transport Geography ·(unknown),(unknown),Geoffrey I. Webb	0
2	Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series 2025 ·Data Mining and Knowledge Discovery ·Chang Wei Tan,(unknown),Mahsa Salehi,Geoffrey I. Webb	0
3	DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series 2025 ·IEEE Transactions on Knowledge and Data Engineering ·Zahra Zamanzadeh Darban,(unknown),Geoffrey I. Webb,Charų C. Aggarwal,Qingsong Wen,Shirui Pan,Mahsa Salehi	4
4	Large language models for scientific discovery in molecular property prediction 2025 ·Nature Machine Intelligence ·Yizhen Zheng,Huan Yee Koh,(unknown),(unknown),Lauren T. May,Geoffrey I. Webb,Shirui Pan	14
5	Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data 2024 ·Nature Machine Intelligence ·Huan Yee Koh,Thi Nguyen,Shirui Pan,Lauren T. May,Geoffrey I. Webb	29
6	A Hands-on Introduction to Time Series Classification and Regression 2024 ·ePrints Soton (University of Southampton) ·Anthony Bagnall,Matthew Middlehurst,Germain Forestier,(unknown),(unknown),David Guijo-Rubio,Chang Wei Tan,(unknown),Geoffrey I. Webb	2
7	Hydra: competing convolutional kernels for fast and accurate time series classification 2023 ·Data Mining and Knowledge Discovery ·(unknown),Daniel F. Schmidt,Geoffrey I. Webb	36
8	SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting 2023 ·Machine Learning ·(unknown),Geoffrey I. Webb,Daniel F. Schmidt,Christoph Bergmeir	7
9	Time series adversarial attacks: an investigation of smooth perturbations and defense approaches 2023 ·International Journal of Data Science and Analytics ·(unknown),Hassan Ismail Fawaz,Maxime Devanne,Jonathan Weber,Lhassane Idoumghar,Pierre-Alain Müller,Christoph Bergmeir,Daniel F. Schmidt,Geoffrey I. Webb,Germain Forestier	2
10	The application of artificial intelligence to accelerate G protein‐coupled receptor drug discovery 2023 ·British Journal of Pharmacology ·Thi Nguyen,Diep Thi Ngoc Nguyen,Huan Yee Koh,(unknown),(unknown),Andrew Wei Xu,Daokun Zhang,Geoffrey I. Webb,Lauren T. May,Michelle L. Halls	20
11	PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships 2023 ·Bioinformatics ·(unknown),Chen Li,Yue Bi,Zhikang Wang,Robin B. Gasser,Anthony W. Purcell,Tatsuya Akutsu,Geoffrey I. Webb,Seiya Imoto,Jiangning Song	27
12	EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes 2023 ·Journal of Biomedical Informatics ·(unknown),Nenad Maćešić,Geoffrey I. Webb,Anton Y. Peleg,Sonika Tyagi	6
13	HEAL: an automated deep learning framework for cancer histopathology image analysis 2021 ·Bioinformatics ·Yanan Wang,Nicolas Coudray,Yun Zhao,Fuyi Li,Changyuan Hu,Yaozhong Zhang,Seiya Imoto,Aristotelis Tsirigos,Geoffrey I. Webb,Roger J. Daly,Jiangning Song	23
14	Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction 2021 ·Briefings in Bioinformatics ·(unknown),Cangzhi Jia,Fuyi Li,Chen Li,Yan Zhu,Tatsuya Akutsu,Geoffrey I. Webb,Quan Zou,Lachlan Coin,Jiangning Song	20
15	Procleave: Predicting Protease-Specific Substrate Cleavage Sites by Combining Sequence and Structural Information 2020 ·Genomics Proteomics & Bioinformatics ·Fuyi Li,André Leier,Quanzhong Liu,Yanan Wang,Dongxu Xiang,Tatsuya Akutsu,Geoffrey I. Webb,A. Ian Smith,Tatiana T. Marquez‐Lago,Jian Li,Jiangning Song	74
16	Monash University, UEA, UCR Time Series Regression Archive 2020 ·arXiv (Cornell University) ·Chang Wei Tan,Christoph Bergmeir,François Petitjean,Geoffrey I. Webb	4
17	FACTORS RELATED TO LARGER BUT FEWER WILDFIRES AND FEWER DEER IN CALIFORNIA: A GOOGLE SITES KNOWLEDGE BASE 2019 ·Issues in Information Systems ·Geoffrey I. Webb,(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown)	2
18	PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact 2019 ·Briefings in Bioinformatics ·Fuyi Li,(unknown),Tatiana T. Marquez‐Lago,André Leier,Jerico Revote,Cangzhi Jia,Yan Zhu,A. Ian Smith,Geoffrey I. Webb,Quanzhong Liu,Leyi Wei,Jian Li,Jiangning Song	33
19	PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection 2017 ·Scientific Reports ·Jiangning Song,Huilin Wang,Jiawei Wang,André Leier,Tatiana T. Marquez‐Lago,(unknown),Ziding Zhang,Tatsuya Akutsu,Geoffrey I. Webb,Roger J. Daly	69
20	Multi-strategy ensemble learning, ensembles of Bayesian classifiers, and the problem of false discoveries 2008 ·Geoffrey I. Webb	1

About Geoffrey I. Webb

Geoffrey I. Webb is a scholar working on Signal Processing, Artificial Intelligence and Computational Theory and Mathematics, having authored 252 papers that have together received 14.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (46 papers), Machine Learning in Bioinformatics (42 papers) and Machine Learning and Data Classification (33 papers). The work is most often cited by research in Artificial Intelligence (5.3k citations), Signal Processing (1.5k citations) and Information Systems (2.2k citations). Geoffrey I. Webb has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Claude Sammut, Jiangning Song, Fuyi Li, Tatsuya Akutsu, François Petitjean, Janice R. Boughton, André Leier, Zhihai Wang, Tatiana T. Marquez‐Lago and Kuo‐Chen Chou. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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