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David B. Dunson

Active 1999–2026

273
Papers
25,512
Citations
81
h-index
205
i10-index

Citations

Citations per year for David B. Dunson1905: 1 citations1991: 1 citations1995: 1 citations1997: 2 citations2000: 5 citations2001: 7 citations2002: 6 citations2003: 36 citations2004: 40 citations2005: 44 citations2006: 51 citations2007: 77 citations2008: 113 citations2009: 137 citations2010: 208 citations2011: 246 citations2012: 299 citations2013: 401 citations2014: 451 citations2015: 451 citations2016: 464 citations2017: 478 citations2018: 441 citations2019: 849 citations2020: 864 citations2021: 795 citations2022: 620 citations2023: 432 citations2024: 571 citations2025: 347 citations2026: 38 citations2027: 1 citations1906–1990: no citations, so these years are not shown1992–1994: no citations, so these years are not shown1996: no citations, so this year is not shown1998–1999: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,209 citing papers, 31.8% of this breakdownChina: 1,154 citing papers, 11.5% of this breakdownUnited Kingdom: 733 citing papers, 7.3% of this breakdownGermany: 393 citing papers, 3.9% of this breakdownItaly: 364 citing papers, 3.6% of this breakdownCanada: 362 citing papers, 3.6% of this breakdownAustralia: 332 citing papers, 3.3% of this breakdownFrance: 329 citing papers, 3.3% of this breakdownSpain: 235 citing papers, 2.3% of this breakdownJapan: 204 citing papers, 2% of this breakdownNetherlands: 184 citing papers, 1.8% of this breakdownSwitzerland: 173 citing papers, 1.7% of this breakdown
0%31.8%Other 23.9%

Institutions

Fields

  • Computer Science28.5%
  • Medicine24.1%
  • Biochemistry, Genetics and Molecular Biology10.6%
  • Mathematics10.5%
  • Engineering9.7%
  • Environmental Science3.3%
  • Other13.3%

Topics

  • Bayesian Methods and Mixture Models5.8%
  • Statistical Methods and Inference4.1%
  • Sparse and Compressive Sensing Techniques3%
  • Statistical Methods and Bayesian Inference2.9%
  • Lymphoma Diagnosis and Treatment2.9%
  • Uterine Myomas and Treatments2.3%
  • Other79%

Coauthors

All papers

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  1. Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma

    Authors: Anupama Reddy, Jenny Zhang, Nicholas S. Davis, Andrea B. Moffitt, Cassandra Love, Alexander Waldrop, Sirpa Leppä, Annika Pasanen, Leo Meriranta, Marja-Liisa Karjalainen-Lindsberg, Peter Nørgaard, Mette Ølgod Pedersen, Anne Ortved Gang, Estrid Høgdall, Tayla B. Heavican, Waseem Lone, Javeed Iqbal, Qiu Qin, Guojie Li, So Young Kim, Jane Healy, Kristy L. Richards, Yuri Fedoriw, Leon Bernal‐Mizrachi, Jean L. Koff, Ashley D. Staton, Christopher R. Flowers, Ora Paltiel, Neta Goldschmidt, Maria Calaminici, Andrew Clear, John G. Gribben, Evelyn Nguyen, Magdalena Czader, Sarah L. Ondrejka, Angela M. B. Collie, Eric D. Hsi, Eric Tse, Rex Au-Yeung, Yok‐Lam Kwong, Gopesh Srivastava, William W.L. Choi, Andrew M. Evens, Monika Pilichowska, Manju Sengar, Nishitha Reddy, Shaoying Li, Amy Chadburn, Leo I. Gordon, Elaine S. Jaffe, Shawn Levy, Rachel E. Rempel, Tiffany J. Tzeng, Lanie E. Happ, Tushar Dave, Deepthi Rajagopalan, Jyotishka Datta, David B. Dunson, Sandeep S. Davé - Cell 2017 cited by 1,146

  2. High cumulative incidence of uterine leiomyoma in black and white women: Ultrasound evidence

    Authors: Donna D. Baird, David B. Dunson, Michael C. Hill, Deborah S. Cousins, Joel M. Schectman - American Journal of Obstetrics and Gynecology 2003 cited by 2,430

  3. How to make more out of community data? A conceptual framework and its implementation as models and software

    Authors: Otso Ovaskainen, Gleb Tikhonov, Anna Norberg, F. Guillaume Blanchet, Leo L. Duan, David B. Dunson, Tomas Roslin, Nerea Abrego - Ecology Letters 2017 cited by 1,026

  4. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

    Authors: Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang - ICML 2024 cited by 77

  5. Dirichlet–Laplace Priors for Optimal Shrinkage

    Authors: Anirban Bhattacharya, Debdeep Pati, Natesh S. Pillai, David B. Dunson - Journal of the American Statistical Association 2014 cited by 428

  6. A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

    Authors: Anna Norberg, Nerea Abrego, F. Guillaume Blanchet, Frederick R. Adler, Barbara J. Anderson, Jani Anttila, Miguel B. Araújo, Tad Dallas, David B. Dunson, Jane Elith, Scott D. Foster, Richard Fox, Janet Franklin, William Godsoe, Antoine Guisan, Bob O'Hara, Nicole Hill, Robert D. Holt, Francis K. C. Hui, Magne Husby, John Atle Kålås, Aleksi Lehikoinen, Miska Luoto, Heidi K. Mod, Graeme Newell, Ian Renner, Tomas Roslin, Janne Soininen, Wilfried Thuiller, Jarno Vanhatalo, David I. Warton, Matt White, Niklaus E. Zimmermann, Dominique Gravel, Otso Ovaskainen - Ecological Monographs 2019 cited by 558

  7. Sparse Bayesian infinite factor models

    Authors: Anirban Bhattacharya, David B. Dunson - Biometrika 2011 cited by 437

  8. Bayesian Consensus Clustering

    Authors: Eric F. Lock, David B. Dunson - Bioinformatics, Bioinform. 2013 cited by 321

  9. The genetic landscape of mutations in Burkitt lymphoma

    Authors: Cassandra Love, Zhen Sun, Dereje D. Jima, Guojie Li, Jenny Zhang, Rodney R. Miles, Kristy L. Richards, Cherie H. Dunphy, William W.L. Choi, Gopesh Srivastava, Patricia Lugar, David A. Rizzieri, Anand S. Lagoo, Leon Bernal‐Mizrachi, Karen P. Mann, Christopher R. Flowers, Kikkeri N. Naresh, Andrew M. Evens, Amy Chadburn, Leo I. Gordon, Magdalena Czader, Javed Gill, Eric D. Hsi, Adrienne Greenough, Andrea B. Moffitt, Matthew McKinney, Anjishnu Banerjee, Vladimir Grubor, Shawn Levy, David B. Dunson, Sandeep S. Davé - Nature Genetics 2012 cited by 597

  10. Multitask Compressive Sensing

    Authors: Shihao Ji, David B. Dunson, Lawrence Carin - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2008 cited by 503

  11. The whole-genome landscape of Burkitt lymphoma subtypes

    Authors: Razvan Panea, Cassandra Love, Jennifer Shingleton, Anupama Reddy, Jeffrey A. Bailey, Ann M. Moormann, Juliana A. Otieno, John Michael Ong’echa, Cliff I. Oduor, Kristin Schroeder, Nestory Masalu, Nelson J. Chao, Megan J. Agajanian, Michael B. Major, Yuri Fedoriw, Kristy L. Richards, Grzegorz Rymkiewicz, Rodney R. Miles, Bachir Alobeid, Govind Bhagat, Christopher R. Flowers, Sarah L. Ondrejka, Eric D. Hsi, William W.L. Choi, Rex Au-Yeung, Wolfgang Hartmann, Georg Lenz, Howard Meyerson, Yen‐Yu Lin, Yuan Zhuang, Micah A. Luftig, Alexander Waldrop, Tushar Dave, Devang Thakkar, Harshit Sahay, Guojie Li, Brooke C. Palus, Vidya Seshadri, So Young Kim, Randy D. Gascoyne, Shawn Levy, Minerva Mukhopadyay, David B. Dunson, Sandeep S. Davé - Blood 2019 cited by 200

  12. Efficient Gaussian process regression for large datasets

    Authors: Anjishnu Banerjee, David B. Dunson, Surya T. Tokdar - Biometrika 2012 cited by 165

  13. Enteropathy-associated T cell lymphoma subtypes are characterized by loss of function of SETD2

    Authors: Andrea B. Moffitt, Sarah L. Ondrejka, Matthew McKinney, Rachel E. Rempel, John R. Goodlad, Chun Huat Teh, Sirpa Leppä, Susanna Mannisto, Panu E. Kovanen, Eric Tse, Rex Au-Yeung, Yok‐Lam Kwong, Gopesh Srivastava, Javeed Iqbal, Jiayu Yu, Kikkeri N. Naresh, Diego Villa, Randy D. Gascoyne, Jonathan Said, Magdalena Czader, Amy Chadburn, Kristy L. Richards, Deepthi Rajagopalan, Nicholas S. Davis, Eileen Smith, Brooke C. Palus, Tiffany J. Tzeng, Jane Healy, Patricia Lugar, Jyotishka Datta, Cassandra Love, Shawn Levy, David B. Dunson, Yuan Zhuang, Eric D. Hsi, Sandeep S. Davé - The Journal of Experimental Medicine 2017 cited by 170

  14. Bayesian Nonparametrics

    Authors: Nils Lid Hjort, Nils Lid Hjort, Nils Lid Hjort, Stephen G. Walker, Subhashis Ghosal, Antonio Lijoi, Nils Lid Hjort, Yee Whye Teh, Jim Griffin, David B. Dunson, Peter Müller - Cambridge University Press eBooks 2010 cited by 353

  15. Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology

    Authors: Rainbo Hultman, Stephen D. Mague, Qiang Li, Brittany M. Katz, Nadine Michel, Lizhen Lin, Joyce Wang, Lisa K. David, Cameron Blount, Rithi Chandy, David Carlson, Kyle Ulrich, Lawrence Carin, David B. Dunson, Sunil Kumar, Karl Deisseroth, Scott D. Moore, Kafui Dzirasa - Neuron 2016 cited by 144

  16. Robust Bayesian Inference via Coarsening

    Authors: Jeffrey W. Miller, David B. Dunson - Journal of the American Statistical Association 2018 cited by 171

  17. Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries

    Authors: Willem van den Boom, Rebecca A. Schroeder, Michael W. Manning, Tracy L. Setji, Gic-Owens Fiestan, David B. Dunson - Diabetes Care 2018 cited by 136

  18. Commentary: Practical Advantages of Bayesian Analysis of Epidemiologic Data

    Authors: David B. Dunson - American Journal of Epidemiology 2001 cited by 403

  19. Probabilistic Topic Models

    Authors: David M. Blei, Lawrence Carin, David B. Dunson - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2010 cited by 339

  20. GENERALIZED DOUBLE PARETO SHRINKAGE.

    Authors: Artin Armagan, David B. Dunson, Jaeyong Lee - Statistica Sinica 2013 cited by 246

  21. Nonparametric Bayes Modeling of Populations of Networks

    Authors: Daniele Durante, David B. Dunson, Joshua T. Vogelstein - Journal of the American Statistical Association 2016 cited by 84

  22. Genetic heterogeneity of diffuse large B-cell lymphoma

    Authors: Jenny Zhang, Vladimir Grubor, Cassandra Love, Anjishnu Banerjee, Kristy L. Richards, Piotr A. Mieczkowski, Cherie H. Dunphy, William Choi, Wing Y. Au, Gopesh Srivastava, Patricia Lugar, David A. Rizzieri, Anand S. Lagoo, Leon Bernal‐Mizrachi, Karen P. Mann, Christopher R. Flowers, Kikkeri N. Naresh, Andrew M. Evens, Leo I. Gordon, Magdalena Czader, Javed Gill, Eric D. Hsi, Qingquan Liu, Alice C. Fan, Katherine H. Walsh, Dereje D. Jima, Lisa L. Smith, Amy J. Johnson, John C. Byrd, Micah A. Luftig, Ting Ni, Jun Zhu, Amy Chadburn, Shawn Levy, David B. Dunson, Sandeep S. Davé - National Academy of Sciences, Proceedings of the National Academy of Sciences 2013 cited by 534

  23. Bayesian manifold regression

    Authors: Yun Yang, David B. Dunson - The Annals of Statistics 2016 cited by 68

  24. Boosting Variational Inference

    Authors: Fangjian Guo, Xiangyu Wang, Kai Fan, Tamara Broderick, David B. Dunson - arXiv (Cornell University), CoRR 2016 cited by 48