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Marshall Burke

2005–2026 年に発表

80
論文数
25,623
被引用数
51
h 指数
71
i10 指数

被引用数

Marshall Burke の年別被引用数2001 年: 被引用 1 件2005 年: 被引用 2 件2006 年: 被引用 4 件2007 年: 被引用 6 件2008 年: 被引用 21 件2009 年: 被引用 38 件2010 年: 被引用 64 件2011 年: 被引用 65 件2012 年: 被引用 62 件2013 年: 被引用 57 件2014 年: 被引用 92 件2015 年: 被引用 93 件2016 年: 被引用 103 件2017 年: 被引用 153 件2018 年: 被引用 193 件2019 年: 被引用 313 件2020 年: 被引用 478 件2021 年: 被引用 558 件2022 年: 被引用 477 件2023 年: 被引用 377 件2024 年: 被引用 549 件2025 年: 被引用 440 件2026 年: 被引用 93 件2002〜2004 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 1,366 件、この内訳の 22.7%中国: 引用元論文 719 件、この内訳の 11.9%イギリス: 引用元論文 459 件、この内訳の 7.6%ドイツ: 引用元論文 306 件、この内訳の 5.1%オーストラリア: 引用元論文 229 件、この内訳の 3.8%カナダ: 引用元論文 193 件、この内訳の 3.2%フランス: 引用元論文 159 件、この内訳の 2.6%イタリア: 引用元論文 153 件、この内訳の 2.6%インド: 引用元論文 152 件、この内訳の 2.5%オランダ: 引用元論文 133 件、この内訳の 2.2%スイス: 引用元論文 123 件、この内訳の 2.1%スペイン: 引用元論文 116 件、この内訳の 1.9%
0%22.7%その他 31.8%

機関

分野

  • Environmental Science31.7%
  • Agricultural and Biological Sciences14%
  • Social Sciences11.9%
  • Computer Science10.8%
  • Engineering9.4%
  • Medicine5.1%
  • その他17.1%

トピック

  • 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%
  • その他81.3%

共著者

全論文

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  1. Combining satellite imagery and machine learning to predict poverty

    著者: Neal Jean, Marshall Burke, Sang Michael Xie, W. Matthew Davis, David B. Lobell, Stefano Ermon - Science 2016 被引用: 1,676

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

    著者: 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 被引用: 602

  3. Using satellite imagery to understand and promote sustainable development

    著者: Marshall Burke, Anne Driscoll, David B. Lobell, Stefano Ermon - Science 2020 被引用: 424

  4. GeoLLM: Extracting Geospatial Knowledge from Large Language Models

    著者: Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon - ICLR 2024 被引用: 109

  5. DiffusionSat: A Generative Foundation Model for Satellite Imagery

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

  6. Large Language Models are Geographically Biased

    著者: Rohin Manvi, Samar Khanna, Marshall Burke, David B. Lobell, Stefano Ermon - ICML 2024 被引用: 126

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

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

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

    著者: Marshall Burke, Solomon Hsiang, Edward Miguel - Nature 2015 被引用: 2,887

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

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

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

    著者: 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 被引用: 667

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

    著者: David B. Lobell, Marshall Burke - Agricultural and Forest Meteorology 2010 被引用: 982

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

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

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

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

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

    著者: 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 被引用: 94

  15. Quantifying the Influence of Climate on Human Conflict

    著者: Solomon Hsiang, Marshall Burke, Edward Miguel - Science 2013 被引用: 1,849

  16. Global warming has increased global economic inequality

    著者: Noah S. Diffenbaugh, Marshall Burke - National Academy of Sciences, Proceedings of the National Academy of Sciences 2019 被引用: 890

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

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

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

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

  19. Farm Parcel Delineation Using Spatio-temporal Convolutional Networks

    著者: 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 被引用: 55

  20. Efficient Poverty Mapping from High Resolution Remote Sensing Images

    著者: Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon - AAAI Conference on Artificial Intelligence 2021 被引用: 44

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

    著者: 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 被引用: 121

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

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

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

    著者: Nathan Ratledge, Gabe Cadamuro, Brandon de la Cuesta, Matthieu Stigler, Marshall Burke - Nature, Nat. 2022 被引用: 72

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

    著者: Sam Heft‐Neal, Jennifer Burney, Eran Bendavid, Marshall Burke - Nature 2018 被引用: 365