Eibe Frank

70.4k total citations · 9 hit papers
102 papers, 38.5k citations indexed

About

Eibe Frank is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eibe Frank has authored 102 papers receiving a total of 38.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 32 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eibe Frank's work include Machine Learning and Data Classification (24 papers), Data Mining Algorithms and Applications (22 papers) and Text and Document Classification Technologies (14 papers). Eibe Frank is often cited by papers focused on Machine Learning and Data Classification (24 papers), Data Mining Algorithms and Applications (22 papers) and Text and Document Classification Technologies (14 papers). Eibe Frank collaborates with scholars based in New Zealand, United States and Germany. Eibe Frank's co-authors include Ian H. Witten, Mark A. Hall, Geoffrey Holmes, Mark Hall, Bernhard Pfahringer, Peter Reutemann, Jesse Read, Niels Landwehr, Gordon W. Paynter and Craig G. Nevill-Manning and has published in prestigious journals such as Bioinformatics, Monthly Notices of the Royal Astronomical Society and Expert Systems with Applications.

In The Last Decade

Eibe Frank

99 papers receiving 35.7k 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.

The WEKA data mining software

2009 12.7k citations Mark Hall, Eibe Frank et al. ACM SIGKDD Explorations Newsletter profile →
Data Mining: Practical Machine Learning Tools and Techniques

2011 12.5k citations Ian H. Witten, Eibe Frank et al. Elsevier eBooks profile →
Data mining

2002 3.4k citations Ian H. Witten, Eibe Frank profile →
Classifier chains for multi-label classification

2011 1.4k citations Bernhard Pfahringer, Geoffrey Holmes et al. Machine Learning profile →
Logistic Model Trees

2005 880 citations Mark Hall, Eibe Frank et al. Machine Learning profile →
Generating Accurate Rule Sets Without Global Optimization

1998 836 citations Eibe Frank, Ian H. Witten Research Commons (The University of Waikato) profile →
Data mining in bioinformatics using Weka

2004 712 citations Eibe Frank, Mark Hall et al. profile →
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

2005 563 citations Ian H. Witten, Eibe Frank profile →
KEA

1999 529 citations Ian H. Witten, Gordon W. Paynter et al. profile →

Peers

Countries citing papers authored by Eibe Frank

Since Specialization

Citations

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

Fields of papers citing papers by Eibe Frank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eibe Frank

This figure shows the co-authorship network connecting the top 25 collaborators of Eibe Frank. A scholar is included among the top collaborators of Eibe Frank 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 Eibe Frank. Eibe Frank 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	Feature extractor stacking for cross-domain few-shot learning 2023 ·Machine Learning ·(unknown), Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes	3
2	Showcasing the TAIAO project: providing resources for machine learning from images of New Zealand's natural environment 2022 ·Journal of the Royal Society of New Zealand ·(unknown), Albert Bifet, (unknown), Eibe Frank, (unknown), Jacob Montiel, Bernhard Pfahringer	0
3	Experiments in cross‐domain few‐shot learning for image classification 2022 ·Journal of the Royal Society of New Zealand ·Hongyu Wang, Henry Gouk, (unknown), Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes	3
4	Difference in details: transfer learning case study of "cryptic" plants and moths 2018 ·Research Commons (University of Waikato) ·(unknown), (unknown), Eibe Frank, Michael J. Cree	1
5	Determining word–emotion associations from tweets by multi-label classification 2016 ·Research Commons (University of Waikato) ·Felipe Bravo-Márquez, Eibe Frank, Saif M. Mohammad, Bernhard Pfahringer	35
6	Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques 2016 ·Morgan Kaufmann Publishers Inc. eBooks ·Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher Pal	132
7	Positive, negative, or neutral: learning an expanded opinion lexicon from emoticon-annotated tweets 2015 ·Research Commons (University of Waikato) ·Felipe Bravo-Márquez, Eibe Frank, Bernhard Pfahringer	13
8	DNA methylation-associated colonic mucosal immune and defense responses in treatment-naïve pediatric ulcerative colitis 2014 ·Epigenetics ·R. Alan Harris, Dorottya Nagy‐Szakal, Sabina Mir, Eibe Frank, Réka Szigeti, Jess L. Kaplan, Jiří Bronský, Antone R. Opekun, George D. Ferry, Harland S. Winter, Richárd Kellermayer	53
9	Applying additive logistic regression to data derived from sensors monitoring behavioral and physiological characteristics of dairy cows to detect lameness 2013 ·Journal of Dairy Science ·C. Kamphuis, Eibe Frank, (unknown), G.A. Verkerk, J. Jago	28
10	Data Mining : Practical Machine Learning Tools and Techniques Ed. 3 2011 ·Elsevier eBooks ·Ian H. Witten, Eibe Frank, Mark A. Hall	29
11	Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking 2010 ·Asian Conference on Machine Learning ·Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer	5
12	WEKA---Experiences with a Java Open-Source Project 2010 ·Journal of Machine Learning Research ·Remco Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten	190
13	A review of multi-instance learning assumptions 2010 ·The Knowledge Engineering Review ·James R. Foulds, Eibe Frank	239
14	The WEKA data mining software breakdown → 2009 ·ACM SIGKDD Explorations Newsletter ·Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten	12731
15	Combining Naive Bayes and Decision Tables 2008 ·Research Commons (University of Waikato) ·Mark A. Hall, Eibe Frank	92
16	Data Mining as a Tool for Environmental Scientists 2006 ·Socio-Environmental Systems Modeling ·(unknown), Karina Gibert, Miquel Sànchez–Marrè, Eibe Frank, Joaquím Comas, Ioannis N. Athanasiadis, Rebecca Letcher	10
17	Making Better Use of Global Discretization 1999 ·Research Commons (University of Waikato) ·Eibe Frank, Ian H. Witten	28
18	Domain-specific keyphrase extraction 1999 ·Research Commons (University of Waikato) ·Eibe Frank, Gordon W. Paynter, Ian H. Witten, Carl Gutwin, Craig G. Nevill-Manning	417
19	Using a Permutation Test for Attribute Selection in Decision Trees 1998 ·Research Commons (University of Waikato) ·Eibe Frank, Ian H. Witten	28
20	Generating Accurate Rule Sets Without Global Optimization breakdown → 1998 ·Research Commons (The University of Waikato) ·Eibe Frank, Ian H. Witten	836

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.

Explore authors with similar magnitude of impact