World's Best Scientists 2026 revealed!
in silico Plants
H-index 17

in silico Plants

2517-5025

Published by: Oxford University Press

https://academic.oup.com/insilicoplants

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Plant Science and Agronomy 152 41 40 14

Additional Metrics

Number of Best Scientists*: 75
Documents by Best Scientists*: 61
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 16
SCIMAGO SJR: 0.762
Impact Factor: 2.4

Top Publications

  • CPlantBox, a whole plant modelling framework for the simulation of water and carbon related processes

    Xiao-Ran Zhou;Andrea Schnepf;Jan Vanderborght;Daniel Leitner

    (2020)
    58 Citations
  • Modelling selection response in plant-breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions

    M Cooper;O Powell;K P Voss-Fels;C D Messina

    (2021)
    43 Citations
  • Evolution and application of digital technologies to predict crop type and crop phenology in agriculture

    Andries B Potgieter;Yan Zhao;Pablo J Zarco-Tejada;Karine Chenu

    (2021)
    42 Citations
  • Incorporating realistic trait physiology into crop growth models to support genetic improvement

    K J Boote;J W Jones;G Hoogenboom

    (2021)
    25 Citations
  • Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity

    Brian Collins;Scott Chapman;Graeme Hammer;Karine Chenu

    (2021)
    25 Citations
  • Integrating crop growth models with remote sensing for predicting biomass yield of sorghum

    Kai-Wei Yang;Scott Chapman;Scott Chapman;Neal Carpenter;Graeme Hammer

    (2021)
    25 Citations
  • Intercontinental prediction of soybean phenology via hybrid ensemble of knowledge-based and data-driven models

    Ryan F McCormick;Sandra K Truong;Jose Rotundo;Adam P Gaspar

    (2021)
    22 Citations
  • Connecting plant phenotyping and modelling communities: lessons from science mapping and operational perspectives

    (2022)
    20 Citations
  • Are crop and detailed physiological models equally ‘mechanistic’ for predicting the genetic variability of whole-plant behaviour? The nexus between mechanisms and adaptive strategies

    F Tardieu;I S C Granato;E J Van Oosterom;B Parent

    (2020)
    19 Citations
  • SIMPLACE - A versatile modelling and simulation framework for sustainable crops and agroecosystems

    (2023)
    17 Citations

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