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Kevin Smith

Active 1974–2026

Also published as
Kévin Smith
185
Papers
23,703
Citations
56
h-index
103
i10-index

Citations

Citations per year for Kevin Smith1967: 1 citations1975: 1 citations1977: 1 citations1980: 1 citations1985: 1 citations1986: 2 citations1987: 9 citations1988: 7 citations1989: 10 citations1990: 16 citations1991: 17 citations1992: 12 citations1993: 16 citations1994: 12 citations1995: 18 citations1996: 13 citations1997: 22 citations1998: 28 citations1999: 36 citations2000: 37 citations2001: 50 citations2002: 47 citations2003: 45 citations2004: 60 citations2005: 59 citations2006: 85 citations2007: 105 citations2008: 133 citations2009: 129 citations2010: 131 citations2011: 153 citations2012: 161 citations2013: 283 citations2014: 467 citations2015: 605 citations2016: 733 citations2017: 787 citations2018: 794 citations2019: 991 citations2020: 1,009 citations2021: 995 citations2022: 970 citations2023: 882 citations2024: 1,020 citations2025: 655 citations2026: 142 citations1968–1974: no citations, so these years are not shown1976: no citations, so this year is not shown1978–1979: no citations, so these years are not shown1981–1984: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,853 citing papers, 24.8% of this breakdownUnited States: 2,964 citing papers, 19.1% of this breakdownUnited Kingdom: 976 citing papers, 6.3% of this breakdownGermany: 598 citing papers, 3.9% of this breakdownAustralia: 554 citing papers, 3.6% of this breakdownCanada: 505 citing papers, 3.3% of this breakdownFrance: 488 citing papers, 3.1% of this breakdownItaly: 396 citing papers, 2.5% of this breakdownIndia: 368 citing papers, 2.4% of this breakdownSouth Korea: 325 citing papers, 2.1% of this breakdownSpain: 303 citing papers, 1.9% of this breakdownSwitzerland: 275 citing papers, 1.8% of this breakdown
0%24.8%Other 25.2%

Institutions

Fields

  • Computer Science46.9%
  • Medicine19.4%
  • Engineering15.3%
  • Biochemistry, Genetics and Molecular Biology5.3%
  • Environmental Science2.1%
  • Social Sciences2%
  • Other9%

Topics

  • Advanced Image and Video Retrieval Techniques5.8%
  • Visual Attention and Saliency Detection4.7%
  • Remote-Sensing Image Classification3.9%
  • Medical Image Segmentation Techniques3.4%
  • Advanced Neural Network Applications3%
  • AI in cancer detection2.9%
  • Other76.3%

Coauthors

All papers

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  1. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

    Authors: Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurélien Lucchi, Pascal Fua, Sabine Süsstrunk - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2012 cited by 9,110

  2. The physical activity scale for the elderly (PASE): Development and evaluation

    Authors: Richard A. Washburn, Kevin Smith, Alan M. Jette, Carol A. Janney - Journal of Clinical Epidemiology 1993 cited by 3,186

  3. Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study

    Authors: Karin Dembrower, Erik Wåhlin, Yue Liu, Mattie Salim, Kevin Smith, Peter Lindholm, Martin Eklund, Fredrik Strand - The Lancet Digital Health 2020 cited by 285

  4. Toward robust mammography-based models for breast cancer risk

    Authors: Adam Yala, Peter G. Mikhael, Fredrik Strand, Gigin Lin, Kevin Smith, Yung‐Liang Wan, Leslie R. Lamb, Kevin S. Hughes, Constance D. Lehman, Regina Barzilay - Science Translational Medicine 2021 cited by 268

  5. Is it Time to Replace CNNs with Transformers for Medical Images?

    Authors: Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith - arXiv (Cornell University), CoRR 2021 cited by 114

  6. External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms

    Authors: Mattie Salim, Erik Wåhlin, Karin Dembrower, Edward Azavedo, Theodoros Foukakis, Yue Liu, Kevin Smith, Martin Eklund, Fredrik Strand - JAMA Oncology 2020 cited by 285

  7. Ultrasound image analysis using deep neural networks for discriminating between benign and malignant ovarian tumors: comparison with expert subjective assessment

    Authors: Frank Christiansen, Elise Epstein, E. L. Epstein, Erica Smedberg, Måns Åkerlund, Kevin Smith, E. Epstein, E. Epstein - Ultrasound in Obstetrics and Gynecology 2020 cited by 146

  8. Experiences of discrimination: Validity and reliability of a self-report measure for population health research on racism and health

    Authors: Nancy Krieger, Kevin Smith, Deepa Naishadham, Cathy Nelson Hartman, Elizabeth M. Barbeau - Social Science & Medicine 2005 cited by 1,704

  9. nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

    Authors: Réka Hollandi, Ábel Szkalisity, Tímea Tóth, Ervin Tasnádi, Csaba Molnár, Botond Mathe, István Grexa, József Molnár, Árpád Bálind, Mate Gorbe, Mária Kovács, Ede Migh, Allen Goodman, Tamás Balassa, Krisztián Koós, Wenyu Wang, Juan Carlos Caicedo, Norbert Bara, Ferenc Kovács, Lassi Paavolainen, Tivadar Danka, András Kriston, Anne E. Carpenter, Kevin Smith, Péter Horváth - Cell Systems 2020 cited by 278

  10. Digital image analysis in breast pathology—from image processing techniques to artificial intelligence

    Authors: Stephanie Robertson, Hossein Azizpour, Kevin Smith, Johan Hartman - Translational research 2017 cited by 298

  11. Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction

    Authors: Karin Dembrower, Yue Liu, Hossein Azizpour, Martin Eklund, Kevin Smith, Peter Lindholm, Fredrik Strand - Radiology 2019 cited by 160

  12. Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features

    Authors: Aurélien Lucchi, Kevin Smith, Radhakrishna Achanta, Graham Knott, Pascal Fua - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2011 cited by 274

  13. AI-based selection of individuals for supplemental MRI in population-based breast cancer screening: the randomized ScreenTrustMRI trial

    Authors: Mattie Salim, Yue Liu, Moein Sorkhei, Dimitra Ntoula, Theodoros Foukakis, Irma Fredriksson, Yanlu Wang, Martin Eklund, Hossein Azizpour, Kevin Smith, Fredrik Strand - Nature Medicine 2024 cited by 79

  14. Therapeutic enzyme engineering using a generative neural network

    Authors: Andrew J. Giessel, Athanasios Dousis, Kanchana Ravichandran, Kevin Smith, Sreyoshi Sur, Iain J. McFadyen, Wei Zheng, Stuart Licht - Scientific Reports 2022 cited by 46

  15. Hybrid Oscillator-Qubit Quantum Processors: Instruction Set Architectures, Abstract Machine Models, and Applications

    Authors: Yuan Liu, Shraddha Singh, Kevin Smith, Eleanor Crane, John M. Martyn, Alec Eickbusch, Alexander Schuckert, Richard D. Li, Jasmine Sinanan-Singh, Micheline B. Soley, Takahiro Tsunoda, Isaac L. Chuang, Nathan Wiebe, S. M. Girvin - PRX Quantum 2025 cited by 18

  16. CIDRE: an illumination-correction method for optical microscopy

    Authors: Kevin Smith, Yunpeng Li, Filippo Piccinini, Gábor Csúcs, Csaba Balázs, Alessandro Bevilacqua, Péter Horváth - Nature Methods 2015 cited by 195

  17. International multicenter validation of AI-driven ultrasound detection of ovarian cancer

    Authors: Frank Christiansen, Emir Konuk, Adithya Raju Ganeshan, Robert Welch, Joana Palés Huix, Artur Czekierdowski, Francesco Leone, Lucia Anna Haak, Robert Fruscio, Adrius Gaurilčikas, D. Franchi, D. Fischerová, Elisa Mor, L. Savelli, M. Pascual, Marek Kudła, S. Guerriero, F. Buonomo, Karina Liuba, Nina Montik, Juan Luis Alcázar, Ekaterini Domali, Nelinda Catherine P. Pangilinan, Chiara Carella, Maria Munaretto, Petra Šašková, Debora Verri, Chiara Visenzi, Pawel Herman, Kevin Smith, E. Epstein - Nature Medicine 2025 cited by 54

  18. Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations

    Authors: Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman - NeurIPS 2019 cited by 93

  19. Hybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields

    Authors: Eleanor Crane, Kevin Smith, Teague Tomesh, Alec Eickbusch, John M. Martyn, Stefan Kühn, Lena Funcke, Michael Austin DeMarco, Isaac L. Chuang, Nathan Wiebe, Alexander Schuckert, S. M. Girvin - arXiv (Cornell University) 2024 cited by 11

  20. What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors

    Authors: Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 97

  21. Vaginal ring acceptability: A systematic review and meta-analysis of vaginal ring experiences from around the world

    Authors: Kathleen Ridgeway, Elizabeth Montgomery, Kevin Smith, Kristine Torjesen, Ariane van der Straten, Sharon L. Achilles, Jennifer Griffin - Contraception 2021 cited by 48

  22. Cell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity

    Authors: Johan Fredin Haslum, Charles-Hugues Lardeau, Johan Karlsson, Riku Turkki, Karl‐Johan Leuchowius, Kevin Smith, Erik Müllers - Nature Communications 2024 cited by 40

  23. C2QA - Bosonic Qiskit

    Authors: Timothy J. Stavenger, Eleanor Crane, Kevin Smith, Christopher T. Kang, Steven M. Girvin, Nathan Wiebe - IEEE High Performance Extreme Computing Conference (HPEC) 2022 cited by 18

  24. Bayesian Uncertainty Estimation for Batch Normalized Deep Networks

    Authors: Mattias Teye, Hossein Azizpour, Kevin Smith - ICML 2018 cited by 268