litlas
Log inCreate account

Michael J. Pazzani

Active 1983–2025

154
Papers
27,649
Citations
59
h-index
118
i10-index

Citations

Citations per year for Michael J. Pazzani1970: 1 citations1972: 1 citations1975: 1 citations1976: 1 citations1978: 1 citations1980: 1 citations1983: 1 citations1984: 2 citations1985: 3 citations1986: 4 citations1987: 16 citations1988: 15 citations1989: 31 citations1990: 23 citations1991: 50 citations1992: 62 citations1993: 84 citations1994: 116 citations1995: 105 citations1996: 103 citations1997: 117 citations1998: 169 citations1999: 163 citations2000: 269 citations2001: 335 citations2002: 388 citations2003: 542 citations2004: 635 citations2005: 609 citations2006: 611 citations2007: 727 citations2008: 675 citations2009: 735 citations2010: 750 citations2011: 732 citations2012: 764 citations2013: 791 citations2014: 803 citations2015: 845 citations2016: 794 citations2017: 848 citations2018: 797 citations2019: 884 citations2020: 799 citations2021: 660 citations2022: 494 citations2023: 443 citations2024: 364 citations2025: 274 citations2026: 57 citations1971: no citations, so this year is not shown1973–1974: no citations, so these years are not shown1977: no citations, so this year is not shown1979: no citations, so this year is not shown1981–1982: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,628 citing papers, 20.4% of this breakdownChina: 2,420 citing papers, 13.6% of this breakdownUnited Kingdom: 870 citing papers, 4.9% of this breakdownGermany: 728 citing papers, 4.1% of this breakdownAustralia: 710 citing papers, 4% of this breakdownSpain: 705 citing papers, 4% of this breakdownItaly: 654 citing papers, 3.7% of this breakdownCanada: 620 citing papers, 3.5% of this breakdownFrance: 573 citing papers, 3.2% of this breakdownIndia: 539 citing papers, 3% of this breakdownJapan: 478 citing papers, 2.7% of this breakdownSouth Korea: 431 citing papers, 2.4% of this breakdown
0%20.4%Other 30.5%

Institutions

Fields

  • Computer Science79.9%
  • Engineering4.8%
  • Medicine2.4%
  • Social Sciences2.3%
  • Decision Sciences2.1%
  • Biochemistry, Genetics and Molecular Biology1.9%
  • Other6.6%

Topics

  • Recommender Systems and Techniques8.3%
  • Time Series Analysis and Forecasting5.6%
  • Data Management and Algorithms3.9%
  • Data Mining Algorithms and Applications3.5%
  • Anomaly Detection Techniques and Applications2.7%
  • Image Retrieval and Classification Techniques2%
  • Other74%

Coauthors

All papers

Open in search
  1. Content-Based Recommendation Systems

    Authors: Michael J. Pazzani, Daniel Billsus - Lecture notes in computer science, The Adaptive Web 2007 cited by 2,502

  2. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases

    Authors: Eamonn J. Keogh, Kaushik Chakrabarti, Michael J. Pazzani, Sharad Mehrotra - Knowledge and Information Systems, Knowl. Inf. Syst. 2001 cited by 1,572

  3. On the Optimality of the Simple Bayesian Classifier under Zero-One Loss

    Authors: Pedro M. Domingos, Michael J. Pazzani - Machine Learning, Mach. Learn. 1997 cited by 3,072

  4. Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions

    Authors: Rui Fan, Kamran Alipour, Christopher Bowd, Mark Christopher, Nicole Brye, James A. Proudfoot, Michael H. Goldbaum, Akram Belghith, Christopher A. Girkin, Massimo A. Fazio, Jeffrey M. Liebmann, Robert N. Weinreb, Michael J. Pazzani, David Kriegman, Linda M. Zangwill - Ophthalmology Science 2022 cited by 123

  5. Derivative Dynamic Time Warping

    Authors: Eamonn J. Keogh, Michael J. Pazzani - SIAM International Conference on Data Mining, SDM 2001 cited by 1,126

  6. An Online Algorithm for Segmenting Time Series

    Authors: Eamonn J. Keogh, Selina Chu, David M. Hart, Michael J. Pazzani - Proceedings 2001 IEEE International Conference on Data Mining, ICDM 2001 cited by 1,109

  7. Scaling up dynamic time warping for datamining applications

    Authors: Eamonn J. Keogh, Michael J. Pazzani - sixth ACM SIGKDD international conference on Knowledge discovery and data mining 2000 cited by 822

  8. The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation

    Authors: Stephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2000 cited by 234

  9. A Framework for Collaborative, Content-Based and Demographic Filtering

    Authors: Michael J. Pazzani - Artificial Intelligence Review, Artif. Intell. Rev. 1999 cited by 1,314

  10. SEGMENTING TIME SERIES: A SURVEY AND NOVEL APPROACH

    Authors: Eamonn Keogh, Selina Chu, David M. Hart, Michael J. Pazzani - Series in machine perception and artificial intelligence 2004 cited by 593

  11. A Comprehensive Explanation Framework for Biomedical Time Series Classification

    Authors: Praharsh Ivaturi, Matteo Gadaleta, Amitabh C. Pandey, Michael J. Pazzani, Steven R. Steinhubl, Giorgio Quer - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2021 cited by 48

  12. Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases

    Authors: Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehrotra, Michael J. Pazzani - ACM SIGMOD Record, ACM Trans. Database Syst. 2001 cited by 873

  13. Manifestation of virtual assistants and robots into daily life: vision and challenges

    Authors: Reza Rawassizadeh, Taylan K. Sen, Sunny Jung Kim, Christian Meurisch, Hamidreza Keshavarz, Max Mühlhäuser, Michael J. Pazzani - CCF Transactions on Pervasive Computing and Interaction, CCF Trans. Pervasive Comput. Interact. 2019 cited by 56

  14. Detecting Group Differences: Mining Contrast Sets

    Authors: Stephen D. Bay, Michael J. Pazzani - Data Mining and Knowledge Discovery, Data Min. Knowl. Discov. 2001 cited by 362

  15. Learning and Revising User Profiles: The Identification of Interesting Web Sites

    Authors: Michael J. Pazzani, Daniel Billsus - Machine Learning, Mach. Learn. 1997 cited by 1,200

  16. Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features

    Authors: Kyle Hasenstab, Justin Huynh, Samira Masoudi, Guilherme M. Cunha, Michael J. Pazzani, Albert Hsiao - IEEE Access 2023 cited by 12

  17. Reducing Misclassification Costs

    Authors: Michael J. Pazzani, Christopher J. Merz, Patrick M. Murphy, Kamal M. Ali, Timothy Hume, Clifford Brunk - Elsevier eBooks, ICML 1994 cited by 343

  18. Proceedings of the 16th International Conference on Intelligent User Interfaces, IUI 2011, Palo Alto, CA, USA, February 13-16, 2011

    Authors: Pearl Pu, Michael J. Pazzani, Elisabeth André, Doug Riecken - IUI 2011 cited by 14

  19. Machine Learning for User Modeling

    Authors: Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus - User Modeling and User-Adapted Interaction, User Model. User Adapt. Interact. 2001 cited by 377

  20. Iterative Deepening Dynamic Time Warping for Time Series

    Authors: Selina Chu, Eamonn J. Keogh, David M. Hart, Michael J. Pazzani - SIAM International Conference on Data Mining, SDM 2002 cited by 264

  21. Expert-Informed, User-Centric Explanations for Machine Learning

    Authors: Michael J. Pazzani, Severine Soltani, Robert Kaufman, Samson Qian, Albert Hsiao - AAAI Conference on Artificial Intelligence 2022 cited by 21

  22. User Modeling for Adaptive News Access

    Authors: Daniel Billsus, Michael J. Pazzani - User Modeling and User-Adapted Interaction, User Model. User Adapt. Interact. 2000 cited by 480

  23. Ghost Imputation: Accurately Reconstructing Missing Data of the Off Period

    Authors: Reza Rawassizadeh, Hamidreza Keshavarz, Michael J. Pazzani - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2019 cited by 28

  24. A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases

    Authors: Eamonn J. Keogh, Michael J. Pazzani - Lecture notes in computer science, PAKDD 2000 cited by 251