LabCompass

Ignacio A. Ciampitti

Agricultural and Biological Sciences · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2005
Crop Yield and Soil FertilitySoybean genetics and cultivationLegume Nitrogen Fixing SymbiosisGenetics and Plant BreedingSoil Carbon and Nitrogen Dynamics

Publications

524

Citations

12,391

Est. group size

~4

Recurring co-author estimate

Active years

22

Publishing since 2005

Research summary
AI-generated

Ignacio Ciampitti studies how to grow major food crops like maize, wheat, soybean, sorghum, and legumes more efficiently and sustainably, with a strong focus on nitrogen fertilizer management, crop yield prediction, and diagnosing plant nutrient status. His work combines field agronomy with statistical and machine-learning tools (such as Bayesian modeling and UAV-based sensing) to help farmers optimize fertilizer use, understand climate impacts on yields, and assess economic and environmental tradeoffs in crop production.

Nitrogen management and fertilizer optimizationCrop yield modeling and predictionLegume nitrogen fixation and cereal-legume systemsClimate impacts on crop production (e.g., nighttime warming)Precision agriculture and data-driven farming tools

Publication output rose substantially from 2017 to a peak around 2021-2022, then declined somewhat through 2023-2025, suggesting a generally high but slightly slowing recent pace.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 43.2/year recently
2017: 35 publications172018: 40 publications182019: 37 publications192020: 56 publications202021: 58 publications212022: 63 publications63222023: 42 publications232024: 56 publications242025: 41 publications252026: 14 publications26
Recent publications
Publishes in
  • Kansas Agricultural Experiment Station Research Reports×78
  • Field Crops Research×37
  • Agronomy monograph/Agronomy×28
  • Agronomy Journal×23
  • Crop Science×23
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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