D. Kondrashov

Global and Planetary Change · 2002–2014

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 18 citations into it; #5,176 of 10,225 by trust here, #2,653 by citations
• Atmospheric Science — 15 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Oceanography — 8 citations into it; #3,137 of 4,047 by trust here, #3,303 by citations
• Statistics and Probability — 8 citations into it
• Artificial Intelligence — 5 citations into it; #14,460 of 35,345 by trust here, #23,731 by citations

Whom D. Kondrashov trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrew J. Majda
2. Eric R. Ziegel
3. Raz Kupferman
4. Michel Le Bellac
5. Sergey Kravtsov
6. Michael Ghil
7. Jean-Marie Beckers
8. Alexandre J. Chorin
9. Philip E. Gill
10. Michel Rixen

Who trusts D. Kondrashov overall

1. Michael Ghil
2. Yunzhong Shen
3. Andrew J. Majda
4. Sergey Kravtsov
5. Mickaël D. Chekroun
6. Valerio Lucarini
7. Fukai Peng
8. Chih-Pei Chang
9. John Harlim
10. Nina Golyandina

Papers from D. Kondrashov's perspective

Ordered by how strongly the researchers D. Kondrashov trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Linear Model of Wintertime Low-Frequency Variability. Part I: Formulation and Forecast Skill
2. Generalized Linear Models
3. A Hierarchy of Data-Based ENSO Models
4. Low-Order Stochastic Mode Reduction for a Realistic Barotropic Model Climate
5. Multilevel Regression Modeling of Nonlinear Processes: Derivation and Applications to Climatic Variability
6. Optimal prediction and the Mori-Zwanzig representation of irreversible processes. (Proceedings of the National Academy of Sciences of the United States of America)
7. How Much Skill Was There in Forecasting the Very Strong 1997–98 El Niño?
8. Atmospheric Modeling, Data Assimilation and Predictability
9. Systematic Strategies for Stochastic Mode Reduction in Climate
10. Ten Lectures on Wavelets

Their papers

• ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES (2002) — 2,265 citations
• Data-driven non-Markovian closure models (2014) — 141 citations
• Reply to T. Schneider's comment on "Spatio-temporal filling of missing points in geophysical data sets" (2007) — 86 citations
• Multilevel Regression Modeling of Nonlinear Processes: Derivation and Applications to Climatic Variability (2005) — 154 citations
• A Hierarchy of Data-Based ENSO Models (2005) — 130 citations