M. Seikel

2012

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Whom M. Seikel trusts overall

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

  1. David John Cameron MacKay
  2. Christopher K. I. Williams
  3. V. Sahni

Who trusts M. Seikel overall

  1. Marina Cortês
  2. Hai-Bo Yu
  3. Michelle Lochner
  4. Andrew R. Liddle
  5. Bharat Ratra
  6. Jason D. McEwen

Papers from M. Seikel's perspective

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

  1. Information Theory, Inference, and Learning Algorithms
  2. SUPERNOVA SIMULATIONS AND STRATEGIES FOR THE DARK ENERGY SURVEY
  3. Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond
  4. Data Warehouse Tuning: The Supremacy of Bitmap Index
  5. Exploring the expansion history of the universe. (Physical Review Letters)
  6. ACCELERATING UNIVERSES WITH SCALING DARK MATTER
  7. SALT2: using distant supernovae to improve the use of type Ia supernovae as distance indicators
  8. FIRST-YEAR SLOAN DIGITAL SKY SURVEY-II SUPERNOVA RESULTS: HUBBLE DIAGRAM AND COSMOLOGICAL PARAMETERS
  9. SNLS3: CONSTRAINTS ON DARK ENERGY COMBINING THE SUPERNOVA LEGACY SURVEY THREE-YEAR DATA WITH OTHER PROBES
  10. Maps of Dust Infrared Emission for Use in Estimation of Reddening and Cosmic Microwave Background Radiation Foregrounds

Their papers