van Leeuwen
Atmospheric Science · 2003–2009
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 13 citations into it; #591 of 4,804 by trust here, #2,716 by citations
- Global and Planetary Change — 12 citations into it; #1,250 of 10,225 by trust here, #6,088 by citations
- Probabilistic & Bayesian Methods — 8 citations into it
- Artificial Intelligence — 6 citations into it; #10,689 of 35,345 by trust here, #18,186 by citations
- Oceanography — 6 citations into it; #385 of 4,047 by trust here, #2,360 by citations
Whom van Leeuwen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dinh Tuan Pham
- Bernard Walter Silverman
- Michael K. Pitt
- J. P.
- Jeffrey L. Anderson
- Rudolph van der Merwe
- Ibrahim Hoteit
- P. Houtekamer
- N. Shephard
- Arnaud Doucet
Who trusts van Leeuwen overall
- Julia Tödter
- Ehouarn Simon
- Laurent Bertino
- Juan J. Ruiz
- Andrew M. Stuart
- Jeffrey L. Anderson
- Michael Dowd
- F. Bouttier
- Hugues Goosse
- P. V. Leeuwen
Papers from van Leeuwen's perspective
Ordered by how strongly the researchers van Leeuwen trusts endorse each paper. Same corpus, a different order for every researcher.
- Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
- An Ensemble Adjustment Kalman Filter for Data Assimilation
- Density Estimation for Statistics and Data Analysis
- Sequential Monte Carlo Methods in Practice
- A variance-minimizing filter for large-scale applications
- A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
- The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
- Filtering via Simulation: Auxiliary Particle Filters
- The Unscented Particle Filter
- Monte Carlo Statistical Methods
Their papers
- Particle Filtering in Geophysical Systems (2009) — 641 citations
- A variance-minimizing filter for large-scale applications (2003) — 162 citations