Standout Papers

A high-performance and in-season classification system of field-level cr... 2015 2026 2018 2022 399
  1. A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach (2018)
    Yaping Cai, Kaiyu Guan et al. Remote Sensing of Environment
  2. A scalable satellite-based crop yield mapper (2015)
    David B. Lobell, David Thau et al. Remote Sensing of Environment

Immediate Impact

1 by Nobel laureates 22 from Science/Nature 68 standout
Sub-graph 1 of 20

Citing Papers

Predicting changes in agricultural yields under climate change scenarios and their implications for global food security
2025 Standout
Warming accelerates global drought severity
2025 StandoutNature
2 intermediate papers

Works of Christopher Seifert being referenced

A scalable satellite-based crop yield mapper
2015 Standout
Response of double cropping suitability to climate change in the United States
2015

Author Peers

Author Last Decade Papers Cites
Christopher Seifert 236 658 127 405 315 8 1.0k
Paul C. Doraiswamy 116 811 49 370 394 17 1.1k
Claire G. Boryan 126 580 53 197 373 10 868
Urs Schulthess 141 506 169 475 241 34 1.1k
Hai Huang 187 519 53 367 331 28 1.0k
Liyan Tian 236 510 36 275 535 10 918
Ahmad Khan 130 679 29 240 665 15 1.3k
Jichong Han 174 564 51 449 248 27 863
Fernando Sedano 146 678 38 245 631 28 1.2k
Art Fredeen 71 932 47 844 575 9 1.4k
Laure Hossard 159 321 72 437 199 42 929

All Works

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2026