J. Musiał

Hydrology and Earth System Sciences · 2011–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom J. Musiał trusts overall

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

1. Peter Craven
2. Nina Golyandina
3. Grace Wahba
4. Yann H. Kerr
5. Cort J. Willmott

Papers from J. Musiał's perspective

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

1. Smoothing noisy data with spline functions
2. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
3. ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES
4. Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes
5. Citizen Science: A Developing Tool for Expanding Science Knowledge and Scientific Literacy
6. International Geoscience and Remote Sensing Symposium (IGARSS)
7. COSMOS: the COsmic-ray Soil Moisture Observing System
8. Measuring soil moisture content non‐invasively at intermediate spatial scale using cosmic‐ray neutrons
9. Analysis of time series structure
10. Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis

Their papers

• The International Soil Moisture Network: serving Earth system science for over a decade (2021) — 429 citations
• Technical Note: Comparing the effectiveness of recent algorithms to fill and smooth incomplete and noisy time series (2011) — 76 citations