Thank You to Our Peer Reviewers in 2024
Abstract On behalf of AGU, the scientific community, and the editorial team of Journal of Geophysical Research: Machine Learning and Computation, we extend our sincere gratitude to the reviewers who dedicated their time and expertise to evaluating manuscripts for us in 2024. Scientific research can now be communicated in various ways, yet peer review remains the cornerstone of scholarly publishing. We deeply appreciate the reviewers who devoted hours to reading and providing insightful feedback. The high quality of our published papers is a testament to their commitment to this vital community service.
Authors
- Yangkang Chen (ORCID: https://orcid.org/0000-0001-9843-3995)
- Renata M. Wentzcovitch (ORCID: https://orcid.org/0000-0001-5663-9426)
- Yixin Wen (ORCID: https://orcid.org/0000-0003-1618-1208)
- Doris Folini (ORCID: https://orcid.org/0000-0002-1398-4374)
- Enrico Camporeale (ORCID: https://orcid.org/0000-0002-7862-6383)
- Steven M. Tobias (ORCID: https://orcid.org/0000-0003-0205-7716)
- John B. Rundle (ORCID: https://orcid.org/0000-0002-1966-4144)
- Thomas Berger (ORCID: https://orcid.org/0000-0002-4989-475X)
- Chaopeng Shen (ORCID: https://orcid.org/0000-0002-0685-1901)
- D. D. Lucas (ORCID: https://orcid.org/0000-0002-4649-6967)
- Markus Reichstein (ORCID: https://orcid.org/0000-0001-5736-1112)
- Raffaele Marino (ORCID: https://orcid.org/0000-0002-6433-7767)
- Xiaofeng Li (ORCID: https://orcid.org/0000-0001-7038-5119)
- Geoffrey Fox (ORCID: https://orcid.org/0000-0001-8198-4117)
Institutions
- École Centrale de Lyon (FR)
- Lawrence Livermore National Laboratory (US)
- Centre National de la Recherche Scientifique (FR)
- Pennsylvania State University (US)
- University of Leeds (GB)
- Lamont-Doherty Earth Observatory (US)
- Queen Mary University of London (GB)
- University of Colorado Boulder (US)
- Chinese Academy of Sciences (CN)
- University of Florida (US)
- ETH Zurich (CH)
- Institute of Oceanology (CN)
- Laboratoire de Mécanique des Fluides et d'Acoustique (FR)
- Biocom (US)
- Max Planck Institute for Biogeochemistry (DE)
- University of Virginia (US)
- Columbia University (US)
- University of California, Davis (US)
- The University of Texas at Austin (US)
Publication Details
- Journal
- Journal of Geophysical Research Machine Learning and Computation
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1029/2025jh000681
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00