Mohamed Laib

2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Mohamed Laib trusts overall

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

  1. Huaiyu Zhu
  2. Stuart Coles
  3. Rajesh G. Kavasseri
  4. G. Huang
  5. Radhakrishnan Nagarajan
  6. Qin-Yu Zhu

Papers from Mohamed Laib's perspective

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

  1. Multifractal Detrended Fluctuation Analysis of Nonstationary Time Series
  2. An Introduction to Statistical Modeling of Extreme Values
  3. Extreme learning machine: Theory and applications
  4. STL : A Seasonal-Trend Decomposition Procedure Based on Loess
  5. On Information and Sufficiency
  6. A multifractal description of wind speed records
  7. R: A language and environment for statistical computing.
  8. Energy demands and renewable energy resources in the Middle East
  9. Detecting long-range correlations with detrended fluctuation analysis
  10. Multifractality of river runoff and precipitation: Comparison of fluctuation analysis and wavelet methods

Their papers