Geoffrey Holmes

Active 1911–2025

107
Papers
36,780
Citations
51
h-index
72
i10-index

Citations

Citations per year for Geoffrey Holmes1967: 1 citations1968: 1 citations1973: 1 citations1974: 2 citations1976: 2 citations1977: 2 citations1978: 3 citations1979: 1 citations1980: 3 citations1981: 1 citations1982: 1 citations1983: 4 citations1984: 5 citations1985: 6 citations1986: 5 citations1987: 5 citations1988: 12 citations1989: 3 citations1990: 9 citations1991: 12 citations1992: 12 citations1993: 6 citations1994: 16 citations1995: 16 citations1996: 24 citations1997: 9 citations1998: 16 citations1999: 23 citations2000: 24 citations2001: 34 citations2002: 39 citations2003: 55 citations2004: 60 citations2005: 83 citations2006: 112 citations2007: 125 citations2008: 232 citations2009: 252 citations2010: 586 citations2011: 1,103 citations2012: 1,365 citations2013: 1,594 citations2014: 1,872 citations2015: 2,010 citations2016: 1,904 citations2017: 1,568 citations2018: 1,470 citations2019: 1,506 citations2020: 1,333 citations2021: 1,063 citations2022: 673 citations2023: 495 citations2024: 418 citations2025: 287 citations2026: 56 citations1969–1972: no citations, so these years are not shown1975: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,433 citing papers, 17.7% of this breakdownChina: 1,824 citing papers, 7.3% of this breakdownUnited Kingdom: 1,588 citing papers, 6.3% of this breakdownGermany: 1,322 citing papers, 5.3% of this breakdownSpain: 1,190 citing papers, 4.7% of this breakdownIndia: 1,040 citing papers, 4.1% of this breakdownCanada: 998 citing papers, 4% of this breakdownItaly: 931 citing papers, 3.7% of this breakdownAustralia: 863 citing papers, 3.4% of this breakdownBrazil: 836 citing papers, 3.3% of this breakdownFrance: 660 citing papers, 2.6% of this breakdownNetherlands: 431 citing papers, 1.7% of this breakdown
0%17.7%Other 35.9%

Fields

  • Computer Science62.9%
  • Medicine8.8%
  • Biochemistry, Genetics and Molecular Biology7.3%
  • Engineering4.7%
  • Psychology2.5%
  • Social Sciences2.2%
  • Other11.6%

Topics

  • Machine Learning and Data Classification3%
  • Data Stream Mining Techniques2.8%
  • Text and Document Classification Technologies2.5%
  • Topic Modeling2.4%
  • Anomaly Detection Techniques and Applications2.1%
  • Network Security and Intrusion Detection2%
  • Other85.2%

Coauthors

All papers

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  1. The WEKA data mining software: an update

    Authors: , , , , , - ACM SIGKDD Explorations Newsletter 2009 cited by 17,849

  2. Machine Learning for Data Streams

    Authors: , , , - The MIT Press eBooks 2018 cited by 221

  3. Classifier Chains for Multi-label Classification

    Authors: , , , - Lecture notes in computer science, ECML/PKDD (2) 2009 cited by 2,273

  4. Leveraging Bagging for Evolving Data Streams

    Authors: , , - Lecture notes in computer science, ECML/PKDD (1) 2010 cited by 373

  5. Active Learning With Drifting Streaming Data

    Authors: , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2013 cited by 381

  6. New ensemble methods for evolving data streams

    Authors: , , , , - SIGKDD international conference on Knowledge discovery and data mining 2009 cited by 564

  7. Multi-label Classification Using Ensembles of Pruned Sets

    Authors: , , - Eighth IEEE International Conference on Data Mining, ICDM 2008 cited by 429

  8. Machine Learning for Data Streams: With Practical Examples in Moa

    Authors: , , , - 2018 cited by 180

  9. Multinomial Naive Bayes for Text Categorization Revisited

    Authors: , , , - Lecture notes in computer science, Australian Conference on Artificial Intelligence 2004 cited by 426

  10. Weka-A Machine Learning Workbench for Data Mining

    Authors: , , , , , , - Data Mining and Knowledge Discovery Handbook 2009 cited by 467

  11. Benchmarking Attribute Selection Techniques for Discrete Class Data Mining

    Authors: , - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2003 cited by 1,231

  12. Interactive machine learning: letting users build classifiers

    Authors: , , , , - International Journal of Human-Computer Studies, Int. J. Hum. Comput. Stud. 2001 cited by 211

  13. A Process for Capturing CO2 from the Atmosphere

    Authors: , , , - Joule 2018 cited by 1,791

  14. Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Shakhnaz Akhmedova, Eugene Semenkin, Wolfgang Minker, Hugo Hammer, Erik Solberg, Lilja vrelid, Lu Wang, Claire Cardie, Yoonjung Choi, Siavash Kazemian, Shunan Zhao, Gerald Penn, Pranav Anand, Kevin Reschke, Ron Artstein, Massimo Poesio, Jordan Boyd, -Graber, Philip Resnik, Pi-Chuan Chang, Huihsin Tseng, Dan Jurafsky, Christopher Manning, Yejin Choi, Claire Cardie, Lingjia Deng, Janyce Wiebe, Lingjia Deng, Yoonjung Choi, Janyce Wiebe, Song Feng, Jun Sak Kang, Polina Kuznetsova, Yejin Choi, Amit Goyal, Ellen Riloff, Hal Daum, Iii, Richard Johansson, Alessandro Moschitti, Mikhail Kozhevnikov, Ivan Titov, Lun-Wei Ku, Hsin-Hsi Chen, Jun Li, Maosong Sun, Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani, A Ferraresi, E Zanchetta, M Baroni, S Bernardini, Simon Clematide, Manfred Klenner, Andrea Esuli, Fabrizio Sebastiani, Eibe Frank, Mark Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian Witten, Len Trigg, Vasileios Hatzivassiloglou, Kathleen Mckeown, Sheng Huang, Zhendong Niu, Chongyang Shi, Hiroshi Kanayama and 904 more - 2014 cited by 131

  15. Serum anti-tissue transglutaminase IgA and prediction of duodenal villous atrophy in adults with suspected coeliac disease without IgA deficiency (Bi.A.CeD): a multicentre, prospective cohort study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Giovanni Zanoni - ˜The œLancet. Gastroenterology & hepatology 2023 cited by 59

  16. Sampling Permutations for Shapley Value Estimation

    Authors: , , , - J. Mach. Learn. Res. 2022 cited by 30

  17. WEKA: a machine learning workbench

    Authors: , , - ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference, Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference 2002 cited by 936

  18. The online performance estimation framework: heterogeneous ensemble learning for data streams

    Authors: , , , - Machine Learning, Mach. Learn. 2017 cited by 131

  19. A genome-wide association study for celiac disease identifies risk variants in the region harboring IL2 and IL21

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Genetics 2007 cited by 672

  20. Newly identified genetic risk variants for celiac disease related to the immune response

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Charles A. Mein, Martin C. Wapenaar, Panos Deloukas, Ralph McGinnis, Ross McManus, Cisca Wijmenga, David A. van Heel - Nature Genetics 2008 cited by 690

  21. Stress-Testing Hoeffding Trees

    Authors: , , - Lecture notes in computer science, PKDD 2005 cited by 51

  22. Data mining in bioinformatics using Weka

    Authors: , , , , - Bioinformatics, Bioinform. 2004 cited by 903

  23. Using Model Trees for Classification

    Authors: , , , , - Machine Learning, Mach. Learn. 1997 cited by 376

  24. Malignancy in coeliac disease-effect of a gluten free diet.

    Authors: , , , , - Gut 1989 cited by 979