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Ron Kimmel

Active 1993–2026

277
Papers
22,909
Citations
71
h-index
180
i10-index

Citations

Citations per year for Ron Kimmel1979: 2 citations1993: 3 citations1994: 21 citations1995: 48 citations1996: 83 citations1997: 70 citations1998: 84 citations1999: 84 citations2000: 118 citations2001: 160 citations2002: 202 citations2003: 252 citations2004: 278 citations2005: 388 citations2006: 475 citations2007: 500 citations2008: 468 citations2009: 518 citations2010: 592 citations2011: 585 citations2012: 580 citations2013: 555 citations2014: 585 citations2015: 559 citations2016: 547 citations2017: 552 citations2018: 559 citations2019: 617 citations2020: 636 citations2021: 590 citations2022: 530 citations2023: 408 citations2024: 384 citations2025: 287 citations2026: 79 citations1980–1992: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,278 citing papers, 20.8% of this breakdownChina: 1,792 citing papers, 16.4% of this breakdownFrance: 897 citing papers, 8.2% of this breakdownGermany: 683 citing papers, 6.2% of this breakdownUnited Kingdom: 637 citing papers, 5.8% of this breakdownIsrael: 532 citing papers, 4.9% of this breakdownItaly: 373 citing papers, 3.4% of this breakdownCanada: 372 citing papers, 3.4% of this breakdownSwitzerland: 238 citing papers, 2.2% of this breakdownIndia: 219 citing papers, 2% of this breakdownAustralia: 216 citing papers, 2% of this breakdownJapan: 213 citing papers, 1.9% of this breakdown
0%20.8%Other 22.8%

Institutions

Fields

  • Computer Science62.1%
  • Engineering23.8%
  • Medicine4.2%
  • Mathematics2%
  • Biochemistry, Genetics and Molecular Biology1.9%
  • Physics and Astronomy1.8%
  • Other4.2%

Topics

  • 3D Shape Modeling and Analysis8.7%
  • Medical Image Segmentation Techniques8.3%
  • Advanced Vision and Imaging5.9%
  • Computer Graphics and Visualization Techniques5.3%
  • Image Retrieval and Classification Techniques3.4%
  • Face recognition and analysis3.4%
  • Other65%

Coauthors

All papers

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  1. Deep learning-based image analysis predicts PD-L1 status from H&E-stained histopathology images in breast cancer

    Authors: Gil Shamai, Amir Livne, António Polónia, Edmond Sabo, Alexandra Cretu, Gil Bar‐Sela, Ron Kimmel - Nature Communications 2022 cited by 184

  2. A Variational Framework for Retinex

    Authors: Ron Kimmel, Michael Elad, Doron Shaked, Renato Keshet, Irwin Sobel - International Journal of Computer Vision, Int. J. Comput. Vis. 2002 cited by 696

  3. Computing geodesic paths on manifolds

    Authors: Ron Kimmel, James A. Sethian - National Academy of Sciences, Proceedings of the National Academy of Sciences 1998 cited by 1,056

  4. Unsupervised Learning of Dense Shape Correspondence

    Authors: Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 163

  5. Numerical Geometry of Non-Rigid Shapes

    Authors: Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel - Texts and monographs in computer science 2008 cited by 763

  6. Learning Detailed Face Reconstruction from a Single Image

    Authors: Elad Richardson, Matan Sela, Roy Or-El, Ron Kimmel - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 371

  7. Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer

    Authors: Gil Shamai, Yoav Binenbaum, Ron Slossberg, Irit Duek, Ziv Gil, Ron Kimmel - JAMA Network Open 2019 cited by 132

  8. Geodesic Active Contours

    Authors: Vicent Caselles, Ron Kimmel, Guillermo Sapiro - International Journal of Computer Vision, ICCV 1995 cited by 5,238

  9. Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching

    Authors: Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel - National Academy of Sciences, Proceedings of the National Academy of Sciences 2006 cited by 547

  10. GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

    Authors: Yaniv Wolf, Amit Bracha, Ron Kimmel - Lecture notes in computer science, ECCV (89) 2024 cited by 23

  11. Paint by Inpaint: Learning to Add Image Objects by Removing Them First

    Authors: Navve Wasserman, Noam Rotstein, Roy Ganz, Ron Kimmel - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 cited by 17

  12. Intel® RealSense™ SR300 Coded Light Depth Camera

    Authors: Aviad Zabatani, Vitaly Surazhsky, Erez Sperling, Sagi Ben Moshe, Ohad Menashe, David H. Silver, Zachi Karni, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2019 cited by 81

  13. A general framework for low level vision

    Authors: Nir A. Sochen, Ron Kimmel, Ravi Malladi - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 1998 cited by 622

  14. Efficient Dilation, Erosion, Opening, and Closing Algorithms

    Authors: Joseph Yossi Gil, Ron Kimmel - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2000 cited by 195

  15. LIMP: Learning Latent Shape Representations with Metric Preservation Priors

    Authors: Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà - Lecture notes in computer science, ECCV (3) 2020 cited by 41

  16. 3D Face Reconstruction by Learning from Synthetic Data

    Authors: Elad Richardson, Matan Sela, Ron Kimmel - Fourth International Conference on 3D Vision (3DV) 2016 cited by 329

  17. Patch-Collaborative Spectral Point-Cloud Denoising

    Authors: Guy Rosman, A. Dubrovina, Ron Kimmel - Computer Graphics Forum, Comput. Graph. Forum 2013 cited by 82

  18. Global Minimum for Active Contour Models: A Minimal Path Approach

    Authors: Laurent D. Cohen, Ron Kimmel - International Journal of Computer Vision, CVPR 1996 cited by 618

  19. Pattern-Based Cloth Registration and Sparse-View Animation

    Authors: Oshri Halimi, Tuur Stuyck, Donglai Xiang, Timur M. Bagautdinov, He Wen, Ron Kimmel, Takaaki Shiratori, Chenglei Wu, Yaser Sheikh, Fabian Prada - ACM Transactions on Graphics, ACM Trans. Graph. 2022 cited by 16

  20. On convex relaxation of graph isomorphism

    Authors: Yonathan Aflalo, Alexander M. Bronstein, Ron Kimmel - National Academy of Sciences, Proceedings of the National Academy of Sciences 2015 cited by 124

  21. FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions

    Authors: Noam Rotstein, David Bensaïd, Shaked Brody, Roy Ganz, Ron Kimmel - IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024 cited by 58

  22. A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching

    Authors: Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Mona Mahmoudi, Guillermo Sapiro - International Journal of Computer Vision, Int. J. Comput. Vis. 2009 cited by 269

  23. Coupled quasi-harmonic bases

    Authors: Artiom Kovnatsky, Michael M. Bronstein, A. M. Bronstein, Klaus Glashoff, Ron Kimmel - Computer Graphics Forum, Comput. Graph. Forum 2013 cited by 186

  24. Near Field Photometric Stereo with Point Light Sources

    Authors: Roberto Mecca, Aaron Wetzler, Alfred M. Bruckstein, Ron Kimmel - SIAM Journal on Imaging Sciences, SIAM J. Imaging Sci. 2014 cited by 78