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Marshall Burke

Active 2005–2026

80
Papers
25,623
Citations
51
h-index
71
i10-index

Citations

Citations per year for Marshall Burke2001: 1 citations2005: 2 citations2006: 4 citations2007: 6 citations2008: 21 citations2009: 38 citations2010: 64 citations2011: 65 citations2012: 62 citations2013: 57 citations2014: 92 citations2015: 93 citations2016: 103 citations2017: 153 citations2018: 193 citations2019: 313 citations2020: 478 citations2021: 558 citations2022: 477 citations2023: 377 citations2024: 549 citations2025: 440 citations2026: 93 citations2002–2004: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,366 citing papers, 22.7% of this breakdownChina: 719 citing papers, 11.9% of this breakdownUnited Kingdom: 459 citing papers, 7.6% of this breakdownGermany: 306 citing papers, 5.1% of this breakdownAustralia: 229 citing papers, 3.8% of this breakdownCanada: 193 citing papers, 3.2% of this breakdownFrance: 159 citing papers, 2.6% of this breakdownItaly: 153 citing papers, 2.6% of this breakdownIndia: 152 citing papers, 2.5% of this breakdownNetherlands: 133 citing papers, 2.2% of this breakdownSwitzerland: 123 citing papers, 2.1% of this breakdownSpain: 116 citing papers, 1.9% of this breakdown
0%22.7%Other 31.8%

Institutions

Fields

  • Environmental Science31.7%
  • Agricultural and Biological Sciences14%
  • Social Sciences11.9%
  • Computer Science10.8%
  • Engineering9.4%
  • Medicine5.1%
  • Other17.1%

Topics

  • Remote Sensing in Agriculture3.9%
  • Climate Change and Health Impacts3.2%
  • Remote-Sensing Image Classification3.2%
  • Climate change impacts on agriculture3.1%
  • Land Use and Ecosystem Services2.7%
  • Impact of Light on Environment and Health2.6%
  • Other81.3%

Coauthors

All papers

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  1. Combining satellite imagery and machine learning to predict poverty

    Authors: Neal Jean, Marshall Burke, Sang Michael Xie, W. Matthew Davis, David B. Lobell, Stefano Ermon - Science 2016 cited by 1,676

  2. SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

    Authors: Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon - Advances in Neural Information Processing Systems 35, NeurIPS 2022 cited by 602

  3. Using satellite imagery to understand and promote sustainable development

    Authors: Marshall Burke, Anne Driscoll, David B. Lobell, Stefano Ermon - Science 2020 cited by 424

  4. GeoLLM: Extracting Geospatial Knowledge from Large Language Models

    Authors: Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon - ICLR 2024 cited by 109

  5. DiffusionSat: A Generative Foundation Model for Satellite Imagery

    Authors: Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon - ICLR 2024 cited by 190

  6. Large Language Models are Geographically Biased

    Authors: Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon - ICML 2024 cited by 126

  7. Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

    Authors: Christopher Yeh, Anthony Perez, Anne Driscoll, George Azzari, Zhongyi Tang, David B. Lobell, Stefano Ermon, Marshall Burke - Nature Communications 2020 cited by 409

  8. Global non-linear effect of temperature on economic production

    Authors: Marshall Burke, Solomon Hsiang, Edward Miguel - Nature 2015 cited by 2,887

  9. Smallholder maize area and yield mapping at national scales with Google Earth Engine

    Authors: Zhenong Jin, George Azzari, Calum You, Stefania Di Tommaso, Stephen Aston, Marshall Burke, David B. Lobell - Remote Sensing of Environment 2019 cited by 369

  10. The changing risk and burden of wildfire in the United States

    Authors: Marshall Burke, Anne Driscoll, Sam Heft‐Neal, Jiani Xue, Jennifer Burney, Michael W. Wara - National Academy of Sciences, Proceedings of the National Academy of Sciences 2021 cited by 667

  11. On the use of statistical models to predict crop yield responses to climate change

    Authors: David B. Lobell, Marshall Burke - Agricultural and Forest Meteorology 2010 cited by 982

  12. Prioritizing Climate Change Adaptation Needs for Food Security in 2030

    Authors: David B. Lobell, Marshall Burke, Claudia Tebaldi, Michael D. Mastrandrea, Walter P. Falcon, Rosamond L. Naylor - Science 2008 cited by 3,108

  13. Higher temperatures increase suicide rates in the United States and Mexico

    Authors: Marshall Burke, Felipe González, Patrick Baylis, Sam Heft‐Neal, Ceren Baysan, Sanjay Basu, Solomon Hsiang - Nature Climate Change 2018 cited by 579

  14. SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

    Authors: Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon - NeurIPS Datasets and Benchmarks 2021 cited by 94

  15. Quantifying the Influence of Climate on Human Conflict

    Authors: Solomon Hsiang, Marshall Burke, Edward Miguel - Science 2013 cited by 1,849

  16. Global warming has increased global economic inequality

    Authors: Noah S. Diffenbaugh, Marshall Burke - National Academy of Sciences, Proceedings of the National Academy of Sciences 2019 cited by 890

  17. The contribution of wildfire to PM2.5 trends in the USA

    Authors: Marshall Burke, Marissa L. Childs, Brandon De La Cuesta, Minghao Qiu, Jessica Li, Carlos Gould, Sam Heft‐Neal, Michael W. Wara - Nature 2023 cited by 307

  18. Armed conflict and child mortality in Africa: a geospatial analysis

    Authors: Zachary Wagner, Sam Heft‐Neal, Zulfiqar A Bhutta, Robert E. Black, Marshall Burke, Eran Bendavid - The Lancet 2018 cited by 194

  19. Farm Parcel Delineation Using Spatio-temporal Convolutional Networks

    Authors: Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2020 cited by 55

  20. Efficient Poverty Mapping from High Resolution Remote Sensing Images

    Authors: Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon - AAAI Conference on Artificial Intelligence 2021 cited by 44

  21. Women and children living in areas of armed conflict in Africa: a geospatial analysis of mortality and orphanhood

    Authors: Zachary Wagner, Sam Heft‐Neal, Paul H. Wise, Robert E. Black, Marshall Burke, Ties Boerma, Zulfiqar A Bhutta, Eran Bendavid - The Lancet Global Health 2019 cited by 121

  22. Generating Interpretable Poverty Maps using Object Detection in Satellite Images

    Authors: Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon - Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 cited by 32

  23. Using machine learning to assess the livelihood impact of electricity access

    Authors: Nathan Ratledge, Gabe Cadamuro, Brandon de la Cuesta, Matthieu Stigler, Marshall Burke - Nature, Nat. 2022 cited by 72

  24. Robust relationship between air quality and infant mortality in Africa

    Authors: Sam Heft‐Neal, Jennifer Burney, Eran Bendavid, Marshall Burke - Nature 2018 cited by 365