Jean‐Pierre Gattuso

Sorbonne Université

Papers

1

Total Citations

247

H-Index

1

About

Jean-Pierre Gattuso is a leading oceanographer whose work has fundamentally shaped our understanding of ocean acidification and its impacts on marine ecosystems. His research focuses on the biogeochemistry of carbon, the effects of climate change on marine organisms, and the development of robust methods for observing ocean carbon variables. A key technical contribution is his co-authorship of the highly cited 2018 paper introducing "CANYON-B," a Bayesian neural network that estimates critical CO₂ system parameters—such as alkalinity, dissolved inorganic carbon, and pH—from more easily measured data like temperature and salinity. This work, with 247 citations, has provided the community with a powerful tool for expanding ocean carbon observations. Beyond this methodological advance, Gattuso is renowned for his leadership in synthesizing the biological and chemical impacts of ocean acidification, contributing to major IPCC and international assessment reports. His prolific career, marked by thousands of citations, has made him a central figure in translating complex ocean chemistry into actionable knowledge for science and policy.

Research Focus

Key Achievements

1
H-Index
1
Papers
247
Total Citations
247
Avg Citations/Paper
🏆 Most Cited Paper
An Alternative to Static Climatologies: Robust Estimation of Open Ocean CO2 Variables and Nutrient Concentrations From T, S, and O2 Data Using Bayesian Neural Networks
247 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Sorbonne Université

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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