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Padhraic Smyth

Active 1988–2026

278
Papers
33,665
Citations
76
h-index
188
i10-index

Citations

Citations per year for Padhraic Smyth1928: 1 citations1967: 1 citations1970: 1 citations1980: 1 citations1982: 1 citations1988: 1 citations1989: 5 citations1990: 6 citations1991: 13 citations1992: 23 citations1993: 23 citations1994: 39 citations1995: 50 citations1996: 82 citations1997: 184 citations1998: 195 citations1999: 247 citations2000: 267 citations2001: 250 citations2002: 421 citations2003: 422 citations2004: 505 citations2005: 565 citations2006: 566 citations2007: 654 citations2008: 675 citations2009: 716 citations2010: 748 citations2011: 840 citations2012: 920 citations2013: 934 citations2014: 1,002 citations2015: 969 citations2016: 979 citations2017: 1,002 citations2018: 927 citations2019: 942 citations2020: 812 citations2021: 747 citations2022: 511 citations2023: 477 citations2024: 439 citations2025: 354 citations2026: 99 citations1929–1966: no citations, so these years are not shown1968–1969: no citations, so these years are not shown1971–1979: no citations, so these years are not shown1981: no citations, so this year is not shown1983–1987: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,874 citing papers, 25% of this breakdownChina: 2,273 citing papers, 11.7% of this breakdownUnited Kingdom: 1,132 citing papers, 5.8% of this breakdownGermany: 1,093 citing papers, 5.6% of this breakdownFrance: 666 citing papers, 3.4% of this breakdownCanada: 651 citing papers, 3.4% of this breakdownAustralia: 650 citing papers, 3.3% of this breakdownJapan: 571 citing papers, 2.9% of this breakdownSpain: 562 citing papers, 2.9% of this breakdownItaly: 513 citing papers, 2.6% of this breakdownIndia: 500 citing papers, 2.6% of this breakdownBrazil: 377 citing papers, 1.9% of this breakdown
0%25%Other 28.9%

Institutions

Fields

  • Computer Science66.9%
  • Physics and Astronomy6.4%
  • Engineering4.4%
  • Social Sciences4.1%
  • Business, Management and Accounting3%
  • Biochemistry, Genetics and Molecular Biology3%
  • Other12.2%

Topics

  • Data Mining Algorithms and Applications5.6%
  • Topic Modeling3.6%
  • Data Management and Algorithms3.6%
  • Complex Network Analysis Techniques3.2%
  • Advanced Text Analysis Techniques2.6%
  • Time Series Analysis and Forecasting2.5%
  • Other78.9%

Coauthors

All papers

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  1. From Data Mining to Knowledge Discovery in Databases

    Authors: Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth - http://www.cse.unsw.edu.au/~cs9318/readings/DM2KDD.pdf, AI Mag. 1996 cited by 4,654

  2. Mining Big Data in Education: Affordances and Challenges

    Authors: Christian Fischer, Zachary A. Pardos, Ryan S. Baker, Joseph Jay Williams, Padhraic Smyth, Renzhe Yu, Stefan Slater, Rachel Baker, Mark Warschauer - Review of Research in Education 2020 cited by 394

  3. Bayesian modeling of human–AI complementarity

    Authors: Mark Steyvers, Heliodoro Tejeda, Gavin Kerrigan, Padhraic Smyth - National Academy of Sciences, Proceedings of the National Academy of Sciences 2022 cited by 117

  4. KDD Cup and workshop 2007

    Authors: James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2007 cited by 329

  5. The KDD Process for Extracting Useful Knowledge from Volumes of Data

    Authors: Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth - Communications of the ACM, Commun. ACM 1996 cited by 1,919

  6. The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes

    Authors: Rachel Baker, Di Xu, Jihyun Park, Renzhe Yu, Qiujie Li, Bianca Cung, Christian Fischer, Fernando Rodriguez, Mark Warschauer, Padhraic Smyth - International Journal of Educational Technology in Higher Education 2020 cited by 102

  7. AI-Assisted Decision-making: a Cognitive Modeling Approach to Infer Latent Reliance Strategies

    Authors: Heliodoro Tejeda, Aakriti Kumar, Padhraic Smyth, Mark Steyvers - Computational Brain & Behavior 2022 cited by 51

  8. Functional Flow Matching

    Authors: Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth - AISTATS 2024 cited by 53

  9. A Spectral Clustering Approach To Finding Communities in Graph

    Authors: Scott R. White, Padhraic Smyth - SIAM International Conference on Data Mining, SDM 2005 cited by 399

  10. 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

  11. From Group to Individual Labels Using Deep Features

    Authors: Dimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth - SIGKDD International Conference on Knowledge Discovery and Data Mining 2015 cited by 322

  12. What large language models know and what people think they know

    Authors: Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth - Nat. Mac. Intell. 2025 cited by 22

  13. Automating data science

    Authors: Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams - Communications of the ACM, Commun. ACM 2022 cited by 44

  14. Diffusion Generative Models in Infinite Dimensions

    Authors: Gavin Kerrigan, Justin Ley, Padhraic Smyth - AISTATS 2023 cited by 56

  15. Statistical Topic Models for Multi-Label Document Classification

    Authors: Timothy N. Rubin, America Chambers, Padhraic Smyth, Mark Steyvers - Machine Learning, Mach. Learn. 2011 cited by 300

  16. Adaptive event detection with time-varying poisson processes

    Authors: Alexander Ihler, Jon Hutchins, Padhraic Smyth - SIGKDD international conference on Knowledge discovery and data mining 2006 cited by 256

  17. Capturing Humans' Mental Models of AI: An Item Response Theory Approach

    Authors: Markelle Kelly, Aakriti Kumar, Padhraic Smyth, Mark Steyvers - ACM Conference on Fairness Accountability and Transparency, FAccT 2023 cited by 23

  18. Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis

    Authors: Mikhail Geyfman, Vivek Kumar, Qiang Liu, Rolando Ruiz, William Gordon, Francisco Espitia, Éric Le Cam, Sarah E. Millar, Padhraic Smyth, Alexander Ihler, Joseph S. Takahashi, Bogi Andersen - National Academy of Sciences, Proceedings of the National Academy of Sciences 2012 cited by 253

  19. The Calibration Gap between Model and Human Confidence in Large Language Models

    Authors: Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth - Nature Machine Intelligence 2025 cited by 129

  20. Anomaly Detection of Tabular Data Using LLMs

    Authors: Aodong Li, Yunhan Zhao, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt - arXiv (Cornell University), CoRR 2024 cited by 12

  21. Fast collapsed gibbs sampling for latent dirichlet allocation

    Authors: Ian Porteous, David Newman, Alexander Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling - SIGKDD international conference on Knowledge discovery and data mining 2008 cited by 567

  22. Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013)

    Authors: Ann E. Nicholson, Padhraic Smyth - arXiv (Cornell University), CoRR 2013 cited by 88

  23. Trajectory Clustering with Mixtures of Regression Models

    Authors: Scott Gaffney, Padhraic Smyth - fifth ACM SIGKDD international conference on Knowledge discovery and data mining 1999 cited by 445

  24. Dynamic Conditional Optimal Transport through Simulation-Free Flows

    Authors: Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 30