Ian H. Witten

548 total papers · 89.1k total citations
327 papers, 52.3k citations indexed

About

Ian H. Witten is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ian H. Witten has authored 327 papers receiving a total of 52.3k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Artificial Intelligence, 75 papers in Information Systems and 47 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ian H. Witten's work include Algorithms and Data Compression (59 papers), Natural Language Processing Techniques (41 papers) and Machine Learning and Algorithms (27 papers). Ian H. Witten is often cited by papers focused on Algorithms and Data Compression (59 papers), Natural Language Processing Techniques (41 papers) and Machine Learning and Algorithms (27 papers). Ian H. Witten collaborates with scholars based in New Zealand, Canada and United Kingdom. Ian H. Witten's co-authors include Eibe Frank, Mark A. Hall, Geoffrey Holmes, Mark Hall, Bernhard Pfahringer, Peter Reutemann, John G. Cleary, David Milne, Tim Bell and Radford M. Neal and has published in prestigious journals such as Bioinformatics, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

Ian H. Witten

315 papers receiving 47.6k citations

Hit Papers

The WEKA data mining soft... 1984 2026 1998 2012 2009 2011 2008 2002 1987 4.0k 8.0k 12.0k
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. The WEKA data mining software
    2009 12.7k citations Mark Hall, Eibe Frank et al. ACM SIGKDD Explorations Newsletter profile →
  2. Data Mining: Practical Machine Learning Tools and Techniques
    2011 12.5k citations Ian H. Witten, Eibe Frank et al. Elsevier eBooks profile →
  3. Data Mining
    2008 5.0k citations Ian H. Witten profile →
  4. Data mining
    2002 3.4k citations Ian H. Witten, Eibe Frank ACM SIGMOD Record profile →
  5. Arithmetic coding for data compression
    1987 1.9k citations Ian H. Witten, Radford M. Neal et al. Communications of the ACM profile →
  6. Generating Accurate Rule Sets Without Global Optimization
    1998 835 citations Eibe Frank, Ian H. Witten Research Commons (The University of Waikato) profile →
  7. Data Compression Using Adaptive Coding and Partial String Matching
    1984 794 citations John J. Cleary, Ian H. Witten IEEE Transactions on Communications profile →
  8. Learning to link with wikipedia
    2008 754 citations David Milne, Ian H. Witten Research Commons (University of Waikato) profile →
  9. Data mining in bioinformatics using Weka
    2004 711 citations Eibe Frank, Mark Hall et al. Bioinformatics profile →
  10. Text Compression
    1990 668 citations Tim Bell, John G. Cleary et al. profile →
  11. WEKA: a machine learning workbench
    2002 589 citations Geoffrey Holmes, Ian H. Witten et al. profile →
  12. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
    2005 564 citations Ian H. Witten, Eibe Frank profile →
  13. KEA
    1999 529 citations Ian H. Witten, Gordon W. Paynter et al. profile →
  14. Induction of model trees for predicting continuous classes
    1996 521 citations Yong Wang, Ian H. Witten Research Commons (The University of Waikato) profile →
  15. The zero-frequency problem: estimating the probabilities of novel events in adaptive text compression
    1991 479 citations Ian H. Witten, Tim Bell IEEE Transactions on Information Theory profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ian H. Witten 26.1k 12.4k 8.8k 6.7k 6.3k 327 52.3k
Jure Leskovec 20.7k 0.8× 9.2k 0.7× 5.7k 0.7× 2.5k 0.4× 7.6k 1.2× 275 49.2k
George Karypis 12.8k 0.5× 14.3k 1.2× 7.1k 0.8× 3.9k 0.6× 7.3k 1.2× 341 35.7k
Michael I. Jordan 48.0k 1.8× 11.6k 0.9× 19.3k 2.2× 8.4k 1.3× 8.4k 1.3× 554 95.6k
Eibe Frank 18.3k 0.7× 9.1k 0.7× 5.0k 0.6× 3.9k 0.6× 3.7k 0.6× 103 38.4k
Qiang Yang 31.8k 1.2× 11.1k 0.9× 13.6k 1.6× 4.7k 0.7× 6.3k 1.0× 859 62.4k
Jon Kleinberg 14.5k 0.6× 10.5k 0.8× 3.8k 0.4× 2.9k 0.4× 10.0k 1.6× 305 47.5k
Andrew Y. Ng 39.6k 1.5× 8.4k 0.7× 21.0k 2.4× 5.4k 0.8× 3.0k 0.5× 207 68.7k
Jiawei Han 34.6k 1.3× 27.0k 2.2× 10.5k 1.2× 14.1k 2.1× 10.0k 1.6× 738 65.9k
Christos Faloutsos 16.5k 0.6× 8.4k 0.7× 11.5k 1.3× 11.6k 1.7× 13.1k 2.1× 614 45.9k
Zhi‐Hua Zhou 22.6k 0.9× 4.8k 0.4× 13.2k 1.5× 4.1k 0.6× 3.1k 0.5× 397 38.3k

Countries citing papers authored by Ian H. Witten

Since Specialization
Citations

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

Fields of papers citing papers by Ian H. Witten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian H. Witten. 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 Ian H. Witten. The network helps show where Ian H. Witten may publish in the future.

Co-authorship network of co-authors of Ian H. Witten

This figure shows the co-authorship network connecting the top 25 collaborators of Ian H. Witten. A scholar is included among the top collaborators of Ian H. Witten 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 Ian H. Witten. Ian H. Witten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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