Shirley Ho

Active 2008–2026

114
Papers
27,597
Citations
49
h-index
78
i10-index

Citations

Citations per year for Shirley Ho2008: 4 citations2009: 15 citations2010: 15 citations2011: 26 citations2012: 115 citations2013: 178 citations2014: 285 citations2015: 203 citations2016: 297 citations2017: 224 citations2018: 177 citations2019: 238 citations2020: 312 citations2021: 322 citations2022: 264 citations2023: 344 citations2024: 684 citations2025: 679 citations2026: 232 citations

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,290 citing papers, 17.4% of this breakdownUnited Kingdom: 677 citing papers, 9.1% of this breakdownGermany: 519 citing papers, 7% of this breakdownChina: 516 citing papers, 7% of this breakdownFrance: 423 citing papers, 5.7% of this breakdownSpain: 366 citing papers, 4.9% of this breakdownItaly: 315 citing papers, 4.3% of this breakdownCanada: 306 citing papers, 4.1% of this breakdownSwitzerland: 250 citing papers, 3.4% of this breakdownAustralia: 207 citing papers, 2.8% of this breakdownNetherlands: 203 citing papers, 2.7% of this breakdownJapan: 198 citing papers, 2.7% of this breakdown
0%17.4%Other 28.9%

Fields

  • Physics and Astronomy48.7%
  • Computer Science24.2%
  • Engineering6%
  • Medicine4.7%
  • Biochemistry, Genetics and Molecular Biology3.2%
  • Materials Science3.2%
  • Other10%

Topics

  • Galaxies: Formation, Evolution, Phenomena9.6%
  • Cosmology and Gravitation Theories5.4%
  • Model Reduction and Neural Networks4.2%
  • Astronomy and Astrophysical Research4.2%
  • Gamma-ray bursts and supernovae2.9%
  • Machine Learning in Materials Science2.4%
  • Other71.3%

Coauthors

All papers

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  1. Scientific discovery in the age of artificial intelligence

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature, Nat. 2023 cited by 1,726

  2. Lagrangian Neural Networks

    Authors: , , , , , - arXiv (Cornell University), CoRR 2020 cited by 281

  3. Multiple Physics Pretraining for Physical Surrogate Models

    Authors: , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 88

  4. Discovering Symbolic Models from Deep Learning with Inductive Biases

    Authors: , , , , , , - Neural Information Processing Systems, NeurIPS 2020 cited by 680

  5. xVal: A Continuous Number Encoding for Large Language Models

    Authors: , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 46

  6. The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , N. Palanque‐Delabrouille, Kaike Pan, Marcos Pellejero-Ibáñez, Will J. Percival, Patrick Petitjean, Francisco Prada, Adrian M. Price-Whelan, Beth Reid, Sergio Rodríguez-Torres, Natalie A. Roe, Ashley J. Ross, Nicholas P. Ross, Graziano Rossi, J. A. Rubiño-Martín, Shun Saito, Salvador Salazar-Albornoz, Lado Samushia, Ariel G. Sánchez, Siddharth Satpathy, David J. Schlegel, Donald P. Schneider, Claudia G. Scóccola, Hee‐Jong Seo, E. S. Sheldon, Audrey Simmons, Anže Slosar, Michael A. Strauss, Molly E. C. Swanson, D. Thomas, Jeremy L. Tinker, Rita Tojeiro, M. Vargas-Magaña, J. Alberto Vázquez, Licia Verde, David A. Wake, Yuting Wang, David H. Weinberg, Martin White, W. M. Wood‐Vasey, Christophe Yèche, Idit Zehavi, Zhongxu Zhai, Gong‐Bo Zhao - Monthly Notices of the Royal Astronomical Society 2017 cited by 3,128

  7. Learned Coarse Models for Efficient Turbulence Simulation

    Authors: , , , , , , , , , - arXiv (Cornell University), CoRR 2021 cited by 66

  8. The Quijote Simulations

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - The Astrophysical Journal Supplement Series 2020 cited by 325

  9. THE BARYON OSCILLATION SPECTROSCOPIC SURVEY OF SDSS-III

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Natalia Connolly, Frances Cope, Rupert A. C. Croft, Antonio J. Cuesta, Luiz N. da Costa, James R. A. Davenport, Timothée Delubac, Roland de Putter, Saurav Dhital, Anne Ealet, Garrett L. Ebelke, Daniel J. Eisenstein, S. Escoffier, Xiaohui Fan, N. Filiz Ak, Hayley Finley, Andreu Font-Ribera, R. Génova-Santos, James E. Gunn, Hong Guo, Daryl Haggard, Patrick B. Hall, Jean-Christophe Hamilton, Ben Harris, David W. Harris, Shirley Ho, David W. Hogg, Diana Holder, Klaus Honscheid, Joe Huehnerhoff, Beatrice Jordan, Wendell P. Jordan, Guinevere Kauffmann, Eyal A. Kazin, David Kirkby, Mark A. Klaene, Jean-Paul Kneib, Jean-Marc Le Goff, Khee-Gan Lee, Daniel C. Long, Craig P. Loomis, Britt Lundgren, Robert H. Lupton, Marcio A. G. Maia, Martin Makler, Elena Malanushenko, Viktor Malanushenko, Rachel Mandelbaum, Marc Manera, Claudia Maraston, Daniel Margala, Karen L. Masters, Cameron K. McBride, Patrick McDonald, Ian D. McGreer, Richard G. McMahon, Olga Mena, Jordi Miralda-Escudé, Antonio D. Montero-Dorta, Francesco Montesano, Demitri Muna, Adam D. Myers, Tracy Naugle, Robert C. Nichol, Pasquier Noterdaeme, Sebastián E. Nuza, Matthew D. Olmstead, Audrey Oravetz, Daniel J. Oravetz, Russell Owen and 65 more - The Astronomical Journal 2012 cited by 2,054

  10. CosmoFlow: Using Deep Learning to Learn the Universe at Scale

    Authors: , , , , , , , , , , , , , , , , - SC18: International Conference for High Performance Computing 2018 cited by 122

  11. Walrus: A Cross-Domain Foundation Model for Continuum Dynamics

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 25

  12. The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations

    Authors: , , , , , , , , , , , , , , , , , , , , , - The Astrophysical Journal 2021 cited by 289

  13. THE SDSS-IV EXTENDED BARYON OSCILLATION SPECTROSCOPIC SURVEY: OVERVIEW AND EARLY DATA

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , L. N. da Costa, Marie-Claude Cousinou, Jeremy Darling, Axel de la Macorra, Sylvain de la Torre, Timothée Delubac, Hélion du Mas des Bourboux, T. Dwelly, Anne Ealet, Daniel J. Eisenstein, Michael Eracleous, S. Escoffier, Xiaohui Fan, A. Finoguenov, Andreu Font-Ribera, Peter M. Frinchaboy, P. Gaulme, A. Georgakakis, Paul Green, Hong Guo, Julien Guy, Shirley Ho, Diana Holder, Joe Huehnerhoff, Timothy A. Hutchinson, Yipeng Jing, Eric Jullo, Vikrant Kamble, Karen Kinemuchi, D. Kirkby, Francisco-Shu Kitaura, Mark A. Klaene, Russ R. Laher, Dustin Lang, Pierre Laurent, Jean-Marc Le Goff, Cheng Li, Yu Liang, M. Lima, Qiufan Lin, Weipeng Lin, Yen‐Ting Lin, Daniel C. Long, Britt Lundgren, Nicholas MacDonald, M. A. G. Maia, Elena Malanushenko, Viktor Malanushenko, Vivek Mariappan, Cameron K. McBride, Ian D. McGreer, Brice Ménard, A. Merloni, Andrés Meza, Antonio D. Montero-Dorta, Demitri Muna, Adam D. Myers, K. Nandra, Tracy Naugle, Jeffrey A. Newman, P. Noterdaeme, P. Nugent, R. L. C. Ogando, Matthew D. Olmstead, Audrey Oravetz, Daniel Oravetz, Nikhil Padmanabhan, N. Palanque‐Delabrouille, Kaike Pan, John K. Parejko and 46 more - The Astronomical Journal 2016 cited by 834

  14. Learning to Predict the Cosmological Structure Formation

    Authors: , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2019 cited by 215

  15. AstroCLIP: a cross-modal foundation model for galaxies

    Authors: , , , , , , , , , , , , , , - Monthly Notices of the Royal Astronomical Society 2024 cited by 55

  16. AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models

    Authors: , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 18

  17. SDSS-III: MASSIVE SPECTROSCOPIC SURVEYS OF THE DISTANT UNIVERSE, THE MILKY WAY, AND EXTRA-SOLAR PLANETARY SYSTEMS

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , W. Carithers, Joleen K. Carlberg, Michael A. Carr, Liang Chang, Yanmei Chen, C. Chiappini, Johan Comparat, N. Connolly, Marina Cortês, Rupert A. C. Croft, Kátia Cunha, Luiz N. da Costa, James R. A. Davenport, Kyle Dawson, Nathan De Lee, G. F. Porto de Mello, F. de Simoni, Janice Dean, Saurav Dhital, Anne Ealet, Garrett Ebelke, Edward M. Edmondson, J. Eiting, S. Escoffier, M. Esposito, Michael L. Evans, Xiaohui Fan, Bruno Femenía Castellá, Letícia D. Ferreira, Greg Fitzgerald, Scott W. Fleming, Andreu Font-Ribera, Eric B. Ford, Peter M. Frinchaboy, A. E. García Pérez, B. Scott Gaudi, Jian Ge, Luan Ghezzi, Bruce Gillespie, G. Gilmore, L. Girardi, J. Richard Gott, Andrew Gould, E. K. Grebel, James E. Gunn, J.–Ch. Hamilton, Paul Harding, D. E. Harris, Suzanne L. Hawley, Frederick R. Hearty, Joseph F. Hennawi, J. I. Gónzalez Hernández, Shirley Ho, David W. Hogg, Jon A. Holtzman, Klaus Honscheid, Naohisa Inada, Inese I. Ivans, Linhua Jiang, Peng Jiang, Jennifer A. Johnson, C. Jordan, Wendell P. Jordan, Guinevere Kauffmann, Eyal Kazin, D. Kirkby, Mark A. Klaene, G. R. Knapp, Jean‐Paul Kneib, C. S. Kochanek and 144 more - The Astronomical Journal 2011 cited by 2,220

  18. The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: baryon acoustic oscillations in the Data Releases 10 and 11 Galaxy samples

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nikhil Padmanabhan, N. Palanque‐Delabrouille, John K. Parejko, Will J. Percival, Patrick Petitjean, Francisco Prada, Adrian M. Price-Whelan, Beth Reid, Natalie A. Roe, Ashley J. Ross, Nicholas P. Ross, Cristiano G. Sabiu, Shun Saito, Lado Samushia, Ariel G. Sánchez, David J. Schlegel, Donald P. Schneider, Claudia G. Scóccola, Hee‐Jong Seo, Ramin Skibba, Michael A. Strauss, Molly E. C. Swanson, D. Thomas, Jeremy L. Tinker, Rita Tojeiro, M. Vargas-Magaña, Licia Verde, David A. Wake, Benjamin A. Weaver, David H. Weinberg, Martin White, Xiaoying Xu, Christophe Yèche, Idit Zehavi, Gong‐Bo Zhao - Monthly Notices of the Royal Astronomical Society 2014 cited by 1,863

  19. Rediscovering orbital mechanics with machine learning

    Authors: , , , , - Machine Learning Science and Technology, Mach. Learn. Sci. Technol. 2023 cited by 74

  20. Learning Symbolic Physics with Graph Networks

    Authors: , , , - arXiv (Cornell University), CoRR 2019 cited by 55

  21. SimBIG: mock challenge for a forward modeling approach to galaxy clustering

    Authors: , , , , , , , , , - Journal of Cosmology and Astroparticle Physics 2023 cited by 31

  22. Cosmological implications of baryon acoustic oscillation measurements

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Julien Guy, J.–Ch. Hamilton, Shirley Ho, Klaus Honscheid, Cullan Howlett, D. Kirkby, Francisco-Shu Kitaura, Jean‐Paul Kneib, Khee‐Gan Lee, Dan Long, Robert H. Lupton, M. Vargas-Magaña, Viktor Malanushenko, Elena Malanushenko, Marc Manera, Claudia Maraston, Daniel Margala, Cameron K. McBride, Jordi Miralda‐Escudé, Adam D. Myers, Robert C. Nichol, P. Noterdaeme, Sebastián E. Nuza, Matthew D. Olmstead, Daniel Oravetz, Isabelle Pâris, Nikhil Padmanabhan, N. Palanque‐Delabrouille, Kaike Pan, Marcos Pellejero-Ibáñez, Will J. Percival, Patrick Petitjean, Matthew M. Pieri, Francisco Prada, Beth Reid, James Rich, Natalie A. Roe, Ashley J. Ross, Nicholas P. Ross, Graziano Rossi, J. A. Rubiño-Martín, Ariel G. Sánchez, Lado Samushia, R. Génova-Santos, Claudia G. Scóccola, David J. Schlegel, Donald P. Schneider, Hee‐Jong Seo, Erin Sheldon, Audrey Simmons, Ramin Skibba, Anže Slosar, Michael A. Strauss, D. Thomas, Jeremy L. Tinker, Rita Tojeiro, J. Alberto Vázquez, Matteo Viel, David A. Wake, Benjamin A. Weaver, David H. Weinberg, W. M. Wood‐Vasey, Christophe Yèche, Idit Zehavi, Gong‐Bo Zhao - Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology 2015 cited by 742

  23. SDSS-III Baryon Oscillation Spectroscopic Survey Data Release 12: galaxy target selection and large-scale structure catalogues

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Sebastián E. Nuza, Kaike Pan, John K. Parejko, J. Pforr, Francisco Prada, Sergio Rodríguez-Torres, Salvador Salazar-Albornoz, Lado Samushia, Donald P. Schneider, Claudia G. Scóccola, Audrey Simmons, M. Vargas-Magaña - Monthly Notices of the Royal Astronomical Society 2015 cited by 487

  24. Field-level simulation-based inference of galaxy clustering with convolutional neural networks

    Authors: , , , , , , , , , , - Physical review. D/Physical review. D. 2024 cited by 40