Willem Bouten

Ecology · 2001–2016

A researcher in the Science corpus: 11 papers; trusts 21 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 47 citations into it; #6,572 of 10,717 by trust here, #7,367 by citations
• Ecology, Evolution, Behavior and Systematics — 18 citations into it
• Nature and Landscape Conservation — 12 citations into it; #1,704 of 6,941 by trust here, #5,720 by citations
• Statistics and Probability — 12 citations into it
• Global and Planetary Change — 11 citations into it; #1,286 of 10,225 by trust here, #3,148 by citations
• Environmental Engineering — 7 citations into it; #1,004 of 5,479 by trust here, #2,998 by citations
• Water Science and Technology — 7 citations into it; #110 of 1,711 by trust here, #473 by citations
• Aerospace Engineering — 6 citations into it

Whom Willem Bouten trusts overall

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

1. Qingyun Duan
2. Emily L C Shepard
3. Soroosh Sorooshian
4. Jasper A. Vrugt
5. Vinod Kumar Gupta
6. Andrew Gelman
7. Donald B. Rubin
8. P. Ekstrom
9. Ruth M. Casper
10. Hoshin V. Gupta

Who trusts Willem Bouten overall

1. Jasper A. Vrugt
2. H. Schenk
3. K. Camphuysen
4. Thomas Wöhling
5. J. Shamoun‐Baranes
6. D. Collins
7. Joseph M. Craine
8. Eldar Rakhimberdiev
9. E. Diamantopoulos
10. W. Vansteelant

Papers from Willem Bouten's perspective

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

1. Effective and efficient global optimization for conceptual rainfall‐runoff models
2. Inference from Iterative Simulation Using Multiple Sequences
3. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
4. The future of distributed models: model calibration and uncertainty prediction.
5. Bayesian recursive parameter estimation for hydrologic models
6. Multi-objective global optimization for hydrologic models
7. Calibration of rainfall‐runoff models: Application of global optimization to the Sacramento Soil Moisture Accounting Model
8. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
9. Optimal use of the SCE-UA global optimization method for calibrating watershed models
10. Shuffled complex evolution approach for effective and efficient global minimization

Their papers

• Comparing inferences of solar geolocation data against high-precision GPS data: annual movements of a double-tagged black-tailed godwit (2016) — 86 citations
• Sexually distinct foraging strategies in an omnivorous seabird (2015) — 112 citations
• Regional and seasonal flight speeds of soaring migrants and the role of weather conditions at hourly and daily scales (2015) — 119 citations
• A flexible GPS tracking system for studying bird behaviour at multiple scales (2012) — 355 citations
• An operational model predicting autumn bird migration intensities for flight safety (2007) — 122 citations
• Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting model (2006) — 131 citations
• Effective and efficient algorithm for multiobjective optimization of hydrologic models (2003) — 677 citations
• Validity of First-Order Approximations to Describe Parameter Uncertainty in Soil Hydrologic Models (2002) — 105 citations
• Towards understanding tree root profiles: simulating hydrologically optimal strategies for root distribution (2001) — 71 citations
• Information content of data for identifying soil hydraulic parameters from outflow experiments (2001) — 122 citations
• Evaluation of transpiration models with observations over a Douglas fir forest (2001) — 62 citations