Geoffrey Holmes

37.3k citations
127 papers · 23.2k · 9 hit papers · h-index 37

Impact in

  • Artificial Intelligence top 0.02%
    • Data Stream Mining Techniques
    • Text and Document Classification Technologies
    • Machine Learning and Data Classification
    • Anomaly Detection Techniques and Applications
    • Imbalanced Data Classification Techniques
    • Topic Modeling
  • Signal Processing top 0.1%

Papers in

  • Artificial Intelligence 69
    • Machine Learning and Data Classification 35
    • Data Stream Mining Techniques 33
    • Anomaly Detection Techniques and Applications 11
  • Information Systems 41
    • Data Mining Algorithms and Applications 31
Co-authors
Bernhard Pfahringer (44 shared papers)Eibe Frank (21 shared papers)Ian H. Witten (16 shared papers)Mark Hall (3 shared papers)Peter Reutemann (4 shared papers)Jesse Read (11 shared papers)Albert Bifet (23 shared papers)Mark A. Hall (4 shared papers)
Journals
Machine Learning (10 papers)Environmental Modelling & Software (3 papers)The English Historical Review (3 papers)Joule (3 papers)Chemometrics and Intelligent Laboratory Systems (3 papers)
Partner nations
New ZealandUnited StatesSpain

In The Last Decade

Geoffrey Holmes

119 papers receiving 21.8k citations

Geoffrey Holmes's Hit Papers

A Process for Capturing CO2 from the Atmosphere 2018 · 1.3k citations
1.3k0+8+16Years since publication4.0k8.0k12.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

  • it has ≥500 total citations;
  • it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
  • it reaches the top citation threshold in at least one of its specific research topics.
  1. 2018 Joule
  2. 2017 Machine Learning
  3. 2011 Machine Learning
  4. 2010 Journal of Machine Learning Research
  5. 2009 ACM SIGKDD Explorations Newsletter
  6. 2009 UPCommons institutional repository (Universitat Politècnica de Catalunya)
  7. 2004 Bioinformatics
  8. 2003 IEEE Transactions on Knowledge and Data Engineering
  9. 2002 Research Commons (The University of Waikato)

Peers

Geoffrey Holmes
Comparison fields: 5 of 229
  • Artificial Intelligence 11.2k
  • Signal Processing 2.7k
  • Information Systems 4.4k
  • Software 669
  • Computer Vision and Pattern Recognition 3.0k
Replace Bernhard Pfahringer with:
Bernhard Pfahringer New Zealand
Mark Hall United Kingdom
Ron Kohavi United States
Pedro Domingos United States
Lior Rokach Israel
Yoav Freund United States
Peter Reutemann New Zealand
Nitesh V. Chawla United States
Lawrence Hall United States
Tom M. Mitchell United States
Geoffrey Holmes relative to Bernhard Pfahringer New Zealand Bernhard Pfahringer's profile →
Citations per field
00.5×2×3×4×4.9×
Bernhard Pfahringer · 1×
Citations per year

Countries citing papers authored by Geoffrey Holmes

Since Specialization
Citations

This map shows the geographic impact of Geoffrey Holmes'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 Holmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Holmes more than expected).

Fields of papers citing papers by Geoffrey Holmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey Holmes. 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 Holmes. The network helps show where Geoffrey Holmes may publish in the future.

Co-authors

The 25 scholars most cited alongside Geoffrey Holmes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Geoffrey Holmes Line = papers co-authored together Geoffrey Holmes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The WEKA data mining software
ACM SIGKDD Explorations Newsletter ·Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
Hit paper breakdown →		200912760
2
Classifier chains for multi-label classification
Machine Learning ·Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank
Hit paper breakdown →		20111473
3
A Process for Capturing CO2 from the Atmosphere
Joule ·David W. Keith, Geoffrey Holmes, David St. Angelo, Kenton Heidel
Hit paper breakdown →		20181291
4
Benchmarking attribute selection techniques for discrete class data mining
IEEE Transactions on Knowledge and Data Engineering ·Mark A. Hall, Geoffrey Holmes
Hit paper breakdown →		2003874
5
Data mining in bioinformatics using Weka
Bioinformatics ·Eibe Frank, Mark Hall, Len Trigg, Geoffrey Holmes, Ian H. Witten
Hit paper breakdown →		2004710
6
MOA: Massive Online Analysis
Journal of Machine Learning Research ·Albert Bifet, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer
Hit paper breakdown →		2010705
7
WEKA: a machine learning workbench
Research Commons (The University of Waikato) ·Geoffrey Holmes, A. Donkin, Ian H. Witten
Hit paper breakdown →		2002594
8
Adaptive random forests for evolving data stream classification
Machine Learning ·Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfharinger, Geoffrey Holmes, Talel Abdessalem
Hit paper breakdown →		2017493
9
Weka: Practical machine learning tools and techniques with Java implementations
Research Commons (The University of Waikato) ·Ian H. Witten, Eibe Frank, Leonard E. Trigg, Mark A. Hall, Geoffrey Holmes, Sally Jo Cunningham
1999421
10
New ensemble methods for evolving data streams
UPCommons institutional repository (Universitat Politècnica de Catalunya) ·Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà
Hit paper breakdown →		2009371
11
Multi-label Classification Using Ensembles of Pruned Sets
Research Commons (University of Waikato) ·Jesse Read, Bernhard Pfahringer, Geoffrey Holmes
2008284
12
Using Model Trees for Classification
Machine Learning ·Eibe Frank, Yong Wang, Stuart J. Inglis, Geoffrey Holmes, Ian H. Witten
1998269
13
Active Learning With Drifting Streaming Data
IEEE Transactions on Neural Networks and Learning Systems ·Indrė Žliobaitė, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes
2013248
14
WEKA---Experiences with a Java Open-Source Project
Journal of Machine Learning Research ·Remco Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
2010190
15
Technical Note: Naive Bayes for Regression
Machine Learning ·Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
2000165
16
An air–liquid contactor for large-scale capture of CO2 from air
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences ·Geoffrey Holmes, David W. Keith
2012144
17
Interactive machine learning: letting users build classifiers
International Journal of Human-Computer Studies ·Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten
2001137
18
MOA: Massive Online Analysis, a framework for stream classification and clustering.
RWTH Publications (RWTH Aachen) ·Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl
2010135
19
Efficient Online Evaluation of Big Data Stream Classifiers
Research Commons (University of Waikato) ·Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoffrey Holmes, Bernhard Pfahringer
2015120
20
Scalable and efficient multi-label classification for evolving data streams
Machine Learning ·Jesse Read, Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer
2012106

About Geoffrey Holmes

Geoffrey Holmes is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 127 papers that have together received 23.2k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (35 papers), Data Stream Mining Techniques (33 papers), Data Mining Algorithms and Applications (31 papers), Time Series Analysis and Forecasting (12 papers), Anomaly Detection Techniques and Applications (11 papers), Rough Sets and Fuzzy Logic (8 papers), Data Management and Algorithms (7 papers) and Carbon Dioxide Capture Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (11.2k citations), Signal Processing (2.7k citations), Information Systems (4.4k citations), Software (669 citations) and Computer Vision and Pattern Recognition (3.0k citations). Geoffrey Holmes has collaborated with scholars based in New Zealand, United States and Spain. Frequent co-authors include Bernhard Pfahringer, Eibe Frank, Ian H. Witten, Mark Hall, Peter Reutemann, Jesse Read, Albert Bifet, Mark A. Hall, David W. Keith and Richard Kirkby. Their work appears in journals such as Machine Learning, Environmental Modelling & Software, The English Historical Review, Joule and Chemometrics and Intelligent Laboratory Systems.

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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