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David B. Lobell

Active 2000–2026

134
Papers
58,175
Citations
90
h-index
122
i10-index

Citations

Citations per year for David B. Lobell1998: 1 citations2001: 3 citations2002: 7 citations2003: 19 citations2004: 25 citations2005: 29 citations2006: 18 citations2007: 42 citations2008: 96 citations2009: 114 citations2010: 173 citations2011: 245 citations2012: 241 citations2013: 243 citations2014: 332 citations2015: 348 citations2016: 372 citations2017: 439 citations2018: 495 citations2019: 787 citations2020: 1,053 citations2021: 1,191 citations2022: 1,074 citations2023: 791 citations2024: 1,059 citations2025: 761 citations2026: 150 citations1999–2000: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,454 citing papers, 19.3% of this breakdownChina: 2,079 citing papers, 16.4% of this breakdownUnited Kingdom: 717 citing papers, 5.6% of this breakdownGermany: 688 citing papers, 5.4% of this breakdownAustralia: 592 citing papers, 4.7% of this breakdownIndia: 507 citing papers, 4% of this breakdownFrance: 401 citing papers, 3.2% of this breakdownItaly: 323 citing papers, 2.5% of this breakdownCanada: 320 citing papers, 2.5% of this breakdownNetherlands: 277 citing papers, 2.2% of this breakdownSpain: 264 citing papers, 2.1% of this breakdownSwitzerland: 202 citing papers, 1.6% of this breakdown
0%19.3%Other 30.5%

Institutions

Fields

  • Environmental Science34.8%
  • Agricultural and Biological Sciences27.2%
  • Engineering8.2%
  • Biochemistry, Genetics and Molecular Biology7.7%
  • Computer Science7.5%
  • Social Sciences5%
  • Other9.6%

Topics

  • Remote Sensing in Agriculture7.9%
  • Climate change impacts on agriculture3.8%
  • Land Use and Ecosystem Services3.2%
  • Remote-Sensing Image Classification3.2%
  • Smart Agriculture and AI2.5%
  • Plant Water Relations and Carbon Dynamics2.2%
  • Other77.2%

Coauthors

All papers

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  1. Transfer learning in environmental remote sensing

    Authors: Yuchi Ma, Shuo Chen, Stefano Ermon, David B. Lobell - Remote Sensing of Environment 2023 cited by 372

  2. Temperature increase reduces global yields of major crops in four independent estimates

    Authors: Chuang Zhao, Bing Liu, Shilong Piao, Xuhui Wang, David B. Lobell, Yao Huang, Mengtian Huang, Yitong Yao, Simona Bassu, Philippe Ciais, J. L. Durand, Joshua Elliott, Frank Ewert, Ivan A. Janssens, Tao Li, Erda Lin, Qiang Liu, Pierre Martre, Christoph Müller, Shushi Peng, Josep Peñuelas, Alex C. Ruane, Daniel Wallach, Tao Wang, Donghai Wu, Zhuo Liu, Yan Zhu, Zaichun Zhu, Senthold Asseng - National Academy of Sciences, Proceedings of the National Academy of Sciences 2017 cited by 3,159

  3. 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

  4. 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

  5. Using satellite imagery to understand and promote sustainable development

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

  6. 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

  7. Climate Trends and Global Crop Production Since 1980

    Authors: David B. Lobell, Wolfram Schlenker, Justin Costa-Roberts - Science 2011 cited by 4,514

  8. 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

  9. Large Language Models are Geographically Biased

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

  10. 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

  11. Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

    Authors: Yaping Cai, Kaiyu Guan, David B. Lobell, Andries Potgieter, Shaowen Wang, Jian Peng, Tianfang Xu, Senthold Asseng, Yongguang Zhang, Liangzhi You, Bin Peng - Agricultural and Forest Meteorology 2019 cited by 571

  12. Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data

    Authors: Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon - AAAI Conference on Artificial Intelligence 2017 cited by 564

  13. Rising temperatures reduce global wheat production

    Authors: Senthold Asseng, Frank Ewert, Pierre Martre, Reimund P. Rötter, David B. Lobell, Davide Cammarano, Bruce A. Kimball, Michael J. Ottman, Gerard W. Wall, Jeffrey W. White, Matthew Reynolds, Phillip D. Alderman, P. V. Vara Prasad, Pramod Aggarwal, Jakarat Anothai, Bruno Basso, Christian Biernath, Andrew J. Challinor, Giacomo De Sanctis, Jordi Doltra, Elías Fereres, Margarita García‐Vila, Sebastian Gayler, Gerrit Hoogenboom, L. A. Hunt, R. C. Izaurralde, Mohamed Jabloun, Curtis D. Jones, Kurt Christian Kersebaum, A-K. Koehler, Christoph Müller, Soora Naresh Kumar, Claas Nendel, Garry J. O’Leary, Jørgen E. Olesen, Taru Palosuo, Eckart Priesack, Ehsan Eyshi Rezaei, A. C. Ruane, Mikhail A. Semenov, Iurii Shcherbak, Claudio Stöckle, Pierre Stratonovitch, Thilo Streck, Iwan Supit, Fulu Tao, Peter J. Thorburn, Katharina Waha, Enli Wang, Daniel Wallach, J. Wolf, Zhigan Zhao, Yan Zhu - Nature Climate Change 2014 cited by 2,401

  14. Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

    Authors: Sherrie Wang, George Azzari, David B. Lobell - Remote Sensing of Environment 2019 cited by 417

  15. Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery

    Authors: Sherrie Wang, William Chen, Sang Michael Xie, George Azzari, David B. Lobell - Remote Sensing, Remote. Sens. 2020 cited by 259

  16. Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach

    Authors: Chenxi Lin, Liheng Zhong, Xiao-Peng Song, Jinwei Dong, David B. Lobell, Zhenong Jin - Remote Sensing of Environment 2022 cited by 148

  17. A meta-analysis of crop yield under climate change and adaptation

    Authors: Andrew J. Challinor, James Watson, David B. Lobell, Mark Howden, Daniel R. Smith, Netra Chhetri - Nature Climate Change 2014 cited by 2,273

  18. A scalable satellite-based crop yield mapper

    Authors: David B. Lobell, David Thau, Christopher Seifert, Eric Engle, Bertis B. Little - Remote Sensing of Environment 2015 cited by 580

  19. The Influence of Climate Change on Global Crop Productivity

    Authors: David B. Lobell, Sharon Gourdji - PLANT PHYSIOLOGY 2012 cited by 1,289

  20. Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data

    Authors: Anna X. Wang, Caelin Tran, Nikhil Desai, David B. Lobell, Stefano Ermon - SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2018 cited by 253

  21. Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision

    Authors: Sherrie Wang, François Waldner, David B. Lobell - Remote Sensing, Remote. Sens. 2022 cited by 59

  22. Greater Sensitivity to Drought Accompanies Maize Yield Increase in the U.S. Midwest

    Authors: David B. Lobell, Michael J. Roberts, Wolfram Schlenker, Noah Braun, Bertis B. Little, Roderick M. Rejesus, Graeme Hammer - Science 2014 cited by 1,129

  23. 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

  24. 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