K. Taylor

Astronomy and Astrophysics · with Bridges · 2000–2014

A researcher in the Science corpus: 19 papers; trusts 2 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom K. Taylor trusts

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

  1. J. Peacock (in Astronomy and Astrophysics)
  2. Carlos S. Frenk (in Astronomy and Astrophysics)

Who trusts K. Taylor

  1. C. Baugh (in Astronomy and Astrophysics)
  2. Simon D. M. White (in Astronomy and Astrophysics)
  3. Will J. Percival (in Astronomy and Astrophysics)
  4. Carlos S. Frenk (in Astronomy and Astrophysics)
  5. F. V. D. Bosch (in Astronomy and Astrophysics)
  6. H. Mo (in Astronomy and Astrophysics)
  7. Xiaohu Yang (in Astronomy and Astrophysics)
  8. Daniel J. Eisenstein (in Astronomy and Astrophysics)
  9. Volker Springel (in Astronomy and Astrophysics)
  10. D. Schneider (in Astronomy and Astrophysics)

Papers from K. Taylor's perspective

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

  1. Parameter constraints for flat cosmologies from cosmic microwave background and 2dFGRS power spectra
  2. The 2dF Galaxy Redshift Survey: the power spectrum and the matter content of the Universe
  3. First-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Determination of Cosmological Parameters
  4. The 2dF Galaxy Redshift Survey: The bJ-band galaxy luminosity function and survey selection function
  5. The Luminosity Function of Galaxies in SDSS Commissioning Data
  6. The 2dF Galaxy Redshift Survey: luminosity dependence of galaxy clustering
  7. Galaxy Clusters in Hubble Volume Simulations: Cosmological Constraints from Sky Survey Populations
  8. Simulations of the formation, evolution and clustering of galaxies and quasars (Nature)
  9. Color Separation of Galaxy Types in the Sloan Digital Sky Survey Imaging Data
  10. Galaxy Clustering in Early Sloan Digital Sky Survey Redshift Data

Their papers